Výsledky vyhledávání - "ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications"

Extracting Microseismic Ground Motion From Legacy Seismograms

Autoři: de Plaen, Raphael S. M. Lecocq, Thomas Lemenkova, Polina a další

Přispěvatelé: de Plaen, Raphael S. M. Lecocq, Thomas Lemenkova, Polina a další

Zdroj: 3rd EUROPEAN CONFERENCE ON EARTHQUAKE ENGINEERING & SEISMOLOGY
Proceedings of the Third European Conference on Earthquake Engineering and Seismology - 3ECEES
https://hal.archives-ouvertes.fr/hal-03774028
Proceedings of the Third European Conference on Earthquake Engineering and Seismology - 3ECEES, European Seismological Commission, Sep 2022, Bucharest, Romania. pp.3507-3513, ⟨10.5281/zenodo.7064711⟩
https://3ecees.ro/

Témata: analog seismograms, seismic noise, oceanic storms, digitalization, machine learning, oceanic climate, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, [SDU]Sciences of the Universe [physics], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean

Geografické téma: Bucharest, Romania

Relation: hal-03774028; https://hal.archives-ouvertes.fr/hal-03774028; https://hal.archives-ouvertes.fr/hal-03774028/document; https://hal.archives-ouvertes.fr/hal-03774028/file/De_Plaen_et_al_Proc_3ECEES_2022.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03774028
https://hal.archives-ouvertes.fr/hal-03774028/document
https://hal.archives-ouvertes.fr/hal-03774028/file/De_Plaen_et_al_Proc_3ECEES_2022.pdf
https://doi.org/10.5281/zenodo.7064711

Using GMT for 2D and 3D Modeling of the Ryukyu Trench Topography, Pacific Ocean

Autoři: Lemenkova, Polina Ocean University of China (OUC)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC)

Zdroj: Miscellanea Geographica - Regional Studies on Development ; https://hal.archives-ouvertes.fr/hal-03020902 ; Miscellanea Geographica - Regional Studies on Development, 2021, 25 (4), pp.213-225. ⟨10.2478/mgrsd-2020-0038⟩

Témata: Cartography, GMT, GEBCO, ETOPO1, Ryukyu Trench, topography, ACM: I.: Computing Methodologies, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.5: Structural, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.1: Computer Uses in Education, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.2: Computer and Information Science Education, ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING/K.8.1: Application Packages, ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING/K.8.0: General, ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING/K.8.1: Application Packages/K.8.1.0: Data communications, ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING/K.8.1: Application Packages/K.8.1.3: Graphics, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, [INFO]Computer Science [cs], [SDE]Environmental Sciences, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, [SDE.MCG]Environmental Sciences/Global Changes, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment

Relation: hal-03020902; https://hal.archives-ouvertes.fr/hal-03020902; https://hal.archives-ouvertes.fr/hal-03020902v2/document; https://hal.archives-ouvertes.fr/hal-03020902v2/file/10.2478_mgrsd-2020-0038.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03020902
https://hal.archives-ouvertes.fr/hal-03020902v2/document
https://hal.archives-ouvertes.fr/hal-03020902v2/file/10.2478_mgrsd-2020-0038.pdf
https://doi.org/10.2478/mgrsd-2020-0038

Exploring structured scripting cartographic technique of GMT for ocean seafloor modeling: A case of the East Indian Ocean

Autoři: Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS)

Přispěvatelé: Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS)

Zdroj: ISSN: 2651-205X ; Maritime Technology and Research ; https://hal.archives-ouvertes.fr/hal-03140864 ; Maritime Technology and Research, 2021, 3 (2), pp.162-184. ⟨10.33175/mtr.2021.248158⟩ ; https://so04.tci-thaijo.org/index.php/MTR/article/view/248158.

Témata: Ninety East Ridge, Indian Ocean, GMT, Cartography, Geophysics, Topography, ACM: I.: Computing Methodologies, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: H.: Information Systems, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, [INFO]Computer Science [cs], [SDE]Environmental Sciences, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO], [SDE.IE]Environmental Sciences/Environmental Engineering, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment

Relation: hal-03140864; https://hal.archives-ouvertes.fr/hal-03140864; https://hal.archives-ouvertes.fr/hal-03140864/document; https://hal.archives-ouvertes.fr/hal-03140864/file/248158-Article%20Text-875314-2-10-20210214.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03140864
https://hal.archives-ouvertes.fr/hal-03140864/document
https://hal.archives-ouvertes.fr/hal-03140864/file/248158-Article%20Text-875314-2-10-20210214.pdf
https://doi.org/10.33175/mtr.2021.248158

GMT Based Comparative Geomorphological Analysis of the Vityaz and Vanuatu Trenches, Fiji Basin

Autoři: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council, State Oceanic Administration, Marine Scholarship of China, Grant Nr. 2016SOA002, China.

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council, State Oceanic Administration, Marine Scholarship of China, Grant Nr. 2016SOA002, China.

Zdroj: ISSN: 0016-710X ; Geodetski List ; https://hal.archives-ouvertes.fr/hal-02564526 ; Geodetski List, Croatian Geodetic Society, 2020, 74(97) (1), pp.19 - 39. ⟨10.6084/m9.figshare.12249773⟩ ; https://hrcak.srce.hr/geodetski-list.

Témata: cartography, GMT, Pacific Ocean, Fiji, Vityaz Trench, Vanuatu Trench, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.7: Three-Dimensional Graphics and Realism, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.2: Graphics Systems, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, [INFO]Computer Science [cs], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [SDU]Sciences of the Universe [physics], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]

Relation: hal-02564526; https://hal.archives-ouvertes.fr/hal-02564526; https://hal.archives-ouvertes.fr/hal-02564526/document; https://hal.archives-ouvertes.fr/hal-02564526/file/Geodetski_list_2020_01_02.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-02564526
https://hal.archives-ouvertes.fr/hal-02564526/document
https://hal.archives-ouvertes.fr/hal-02564526/file/Geodetski_list_2020_01_02.pdf
https://doi.org/10.6084/m9.figshare.12249773

R Libraries {dendextend} and {magrittr} and Clustering Package scipy.cluster of Python For Modelling Diagrams of Dendrogram Trees

Autoři: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council (CSC), State Oceanic Administration, Marine Scholarship of China, Grant Nr. 2016SOA002, China.

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council (CSC), State Oceanic Administration, Marine Scholarship of China, Grant Nr. 2016SOA002, China.

Zdroj: Carpathian Journal of Electronic and Computer Engineering ; https://hal.archives-ouvertes.fr/hal-02910881 ; Carpathian Journal of Electronic and Computer Engineering, 2020, 13 (1), pp.5 - 12. ⟨10.2478/cjece-2020-0002⟩

Témata: clustering, data analysis, data sorting, data ranking, dendrogram, Python, machine learning, programming language, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, [INFO]Computer Science [cs], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

Relation: hal-02910881; https://hal.archives-ouvertes.fr/hal-02910881; https://hal.archives-ouvertes.fr/hal-02910881/document; https://hal.archives-ouvertes.fr/hal-02910881/file/02-cjece-2020-0001.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-02910881
https://hal.archives-ouvertes.fr/hal-02910881/document
https://hal.archives-ouvertes.fr/hal-02910881/file/02-cjece-2020-0001.pdf
https://doi.org/10.2478/cjece-2020-0002

SAGA GIS for information extraction on presence and conditions of vegetation of northern coast of Iceland based on the Landsat TM

Autoři: Lemenkova, Polina Ocean University of China (OUC)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC)

Zdroj: Acta Biologica Marisiensis ; https://hal.archives-ouvertes.fr/hal-02986272 ; Acta Biologica Marisiensis, 2020, 3 (2), pp.10 - 21. ⟨10.2478/abmj-2020-0007⟩ ; https://abmj.ro/uncategorized/saga-gis-for-information-extraction-on-presence-and-conditions-of-vegetation-of-northern-coast-of-iceland-based-on-the-landsat-tm/

Témata: Iceland, Landsat TM, SAGA GIS, cartography, vegetation index, machine learning, automatization, mapping, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.1: Depth cues, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.5: Implementation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SDE]Environmental Sciences

Relation: hal-02986272; https://hal.archives-ouvertes.fr/hal-02986272; https://hal.archives-ouvertes.fr/hal-02986272/document; https://hal.archives-ouvertes.fr/hal-02986272/file/10.2478_abmj-2020-0007.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-02986272
https://hal.archives-ouvertes.fr/hal-02986272/document
https://hal.archives-ouvertes.fr/hal-02986272/file/10.2478_abmj-2020-0007.pdf
https://doi.org/10.2478/abmj-2020-0007

Using GMT for 2D and 3D Modeling of the Ryukyu Trench Topography, Pacific Ocean

Autoři: Lemenkova, Polina Ocean University of China (OUC)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC)

Zdroj: Miscellanea Geographica - Regional Studies on Development ; https://hal.archives-ouvertes.fr/hal-03020902 ; Miscellanea Geographica - Regional Studies on Development, 2020, 25 (3), pp.1-13. ⟨10.2478/mgrsd-2020-0038⟩

Témata: Cartography, GMT, GEBCO, ETOPO1, Ryukyu Trench, topography, ACM: I.: Computing Methodologies, ACM: K.: Computing Milieux, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.1: Computer Uses in Education, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.2: Computer and Information Science Education, ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING/K.8.1: Application Packages, ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING/K.8.0: General, ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING/K.8.1: Application Packages/K.8.1.0: Data communications, ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING/K.8.1: Application Packages/K.8.1.3: Graphics, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.5: Structural, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, [INFO]Computer Science [cs], [SDE]Environmental Sciences, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences

Relation: hal-03020902; https://hal.archives-ouvertes.fr/hal-03020902; https://hal.archives-ouvertes.fr/hal-03020902/document; https://hal.archives-ouvertes.fr/hal-03020902/file/%5B20846118%20-%20Miscellanea%20Geographica%5D%20Using%20GMT%20for%202D%20and%203D%20Modeling%20of%20the%20Ryukyu%20Trench%20Topography,%20Pacific%20Ocean.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03020902
https://hal.archives-ouvertes.fr/hal-03020902/document
https://hal.archives-ouvertes.fr/hal-03020902/file/%5B20846118%20-%20Miscellanea%20Geographica%5D%20Using%20GMT%20for%202D%20and%203D%20Modeling%20of%20the%20Ryukyu%20Trench%20Topography,%20Pacific%20Ocean.pdf
https://doi.org/10.2478/mgrsd-2020-0038

Geomorphology of the Puerto Rico Trench and Cayman Trough in the Context of the Geological Evolution of the Caribbean Sea ; Geomorfologia Rowu Puerto Rico i Rowu Kajmańskiego w kontekście ewolucji geologicznej Morza Karaibskiego

Autoři: Lemenkova, Polina Ocean University of China (OUC)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC)

Zdroj: ISSN: 0137-1983 ; Annales Universitatis Mariae Curie-Sklodowska, sectio B – Geographia, Geologia, Mineralogia et Petrographia ; https://hal.archives-ouvertes.fr/hal-03022505 ; Annales Universitatis Mariae Curie-Sklodowska, sectio B – Geographia, Geologia, Mineralogia et Petrographia, 2020, 75, pp.115-141. ⟨10.17951/b.2020.75.115-141⟩ ; https://journals.umcs.pl/b/article/view/11219.

Témata: Earth gravitational model, gravity anomalies, GMT, Cayman Trough, Puerto Rico Trench, Caribbean Sea, ACM: H.: Information Systems, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.5: Structural, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, ACM: I.: Computing Methodologies, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [SDE]Environmental Sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [SDU]Sciences of the Universe [physics], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences

Relation: hal-03022505; https://hal.archives-ouvertes.fr/hal-03022505; https://hal.archives-ouvertes.fr/hal-03022505/document; https://hal.archives-ouvertes.fr/hal-03022505/file/11219-46002-1-PB.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03022505
https://hal.archives-ouvertes.fr/hal-03022505/document
https://hal.archives-ouvertes.fr/hal-03022505/file/11219-46002-1-PB.pdf
https://doi.org/10.17951/b.2020.75.115-141

Insights on the Indian Ocean tectonics and geophysics supported by GMT

Autoři: Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS)

Přispěvatelé: Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS)

Zdroj: ISSN: 1584-5273 ; Riscuri si Catastrofe ; https://hal.archives-ouvertes.fr/hal-03033533 ; Riscuri si Catastrofe, "Babes-Bolyai" University from Cluj-Napoca, Faculty of Geography, 2020, 27 (2), pp.67-83. ⟨10.24193/RCJ2020_12⟩ ; http://riscurisicatastrofe.reviste.ubbcluj.ro/.

Témata: Indian Ocean, geomorphology, seafloor, geophysics, topography, GMT, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.2: Text processing, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, [INFO]Computer Science [cs], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDE.MCG]Environmental Sciences/Global Changes, [SDE.IE]Environmental Sciences/Environmental Engineering, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [SDU]Sciences of the Universe [physics], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces

Relation: hal-03033533; https://hal.archives-ouvertes.fr/hal-03033533; https://hal.archives-ouvertes.fr/hal-03033533/document; https://hal.archives-ouvertes.fr/hal-03033533/file/04_Lemenkova_67_83.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03033533
https://hal.archives-ouvertes.fr/hal-03033533/document
https://hal.archives-ouvertes.fr/hal-03033533/file/04_Lemenkova_67_83.pdf
https://doi.org/10.24193/RCJ2020_12

Generative Adversarial Networks for geometric surfaces prediction in injection molding ; Generative Adversarial Networks for geometric surfaces prediction in injection molding: Performance analysis with Discrete Modal Decomposition

Autoři: Nagorny, Pierre Lacombe, Thomas Favreliere, Hugues a další

Přispěvatelé: Nagorny, Pierre Lacombe, Thomas Favreliere, Hugues a další

Zdroj: 2018 IEEE International Conference on Industrial Technology (ICIT)
https://hal.science/hal-01995293
2018 IEEE International Conference on Industrial Technology (ICIT), IEEE IES, Lyon 1 University, Ampère Lab, Satie Lab, Feb 2018, Lyon, France. pp.1514-1519, ⟨10.1109/ICIT.2018.8352405⟩
http://www.icit2018.org

Témata: Discrete Modal Decomposition, Generative Adversarial Networks, Quality prediction, Thermography, Injection molding, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.1: Applications and Expert Systems/I.2.1.2: Industrial automation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

Geografické téma: Lyon, France

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1901.10178; ARXIV: 1901.10178

Dostupnost: https://hal.science/hal-01995293
https://hal.science/hal-01995293v1/document
https://hal.science/hal-01995293v1/file/IEEE%20ICIT2018_Generative%20Adversarial%20Networks%20for%20geometric%20surfaces%20prediction%20in%20injection%20molding.pdf
https://doi.org/10.1109/ICIT.2018.8352405

Generative Adversarial Networks for geometric surfaces prediction in injection molding ; Generative Adversarial Networks for geometric surfaces prediction in injection molding: Performance analysis with Discrete Modal Decomposition

Autoři: Nagorny, Pierre Lacombe, Thomas Favreliere, Hugues a další

Přispěvatelé: Nagorny, Pierre Lacombe, Thomas Favreliere, Hugues a další

Zdroj: 2018 IEEE International Conference on Industrial Technology (ICIT)
https://hal.science/hal-01995293
2018 IEEE International Conference on Industrial Technology (ICIT), IEEE IES, Lyon 1 University, Ampère Lab, Satie Lab, Feb 2018, Lyon, France. pp.1514-1519, ⟨10.1109/ICIT.2018.8352405⟩
http://www.icit2018.org

Témata: Discrete Modal Decomposition, Generative Adversarial Networks, Quality prediction, Thermography, Injection molding, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.1: Applications and Expert Systems/I.2.1.2: Industrial automation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

Geografické téma: Lyon, France

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1901.10178; ARXIV: 1901.10178

Dostupnost: https://hal.science/hal-01995293
https://hal.science/hal-01995293v1/document
https://hal.science/hal-01995293v1/file/IEEE%20ICIT2018_Generative%20Adversarial%20Networks%20for%20geometric%20surfaces%20prediction%20in%20injection%20molding.pdf
https://doi.org/10.1109/ICIT.2018.8352405

Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean

Autoři: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council (CSC), Marine Scholarship of China, State Oceanic Administration. Grant reference: 2016SOA002. a další

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council (CSC), Marine Scholarship of China, State Oceanic Administration. Grant reference: 2016SOA002. a další

Zdroj: Virtual Simulation, Prototyping and Industrial Design ; https://hal.archives-ouvertes.fr/hal-01974752 ; Virtual Simulation, Prototyping and Industrial Design, Tambov State Technical University (TSTU), Nov 2018, Tambov, Russia. pp.147-152, ⟨10.6084/m9.figshare.7531550⟩ ; http://go.tstu.ru/meroprijatija.php?id=46&lang=ru

Témata: R Language, Programming, Algorithm, Oceanographic processes, Cluster Analysis, Pacific Ocean, Hierarchical clustering algorithm, Dendrogram structure, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation/I.3.3.3: Display algorithms, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology

Geografické téma: Tambov, Russia

Relation: hal-01974752; https://hal.archives-ouvertes.fr/hal-01974752; https://hal.archives-ouvertes.fr/hal-01974752/document; https://hal.archives-ouvertes.fr/hal-01974752/file/Conf-Tambov2018-Lemenkova-147-152.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01974752
https://hal.archives-ouvertes.fr/hal-01974752/document
https://hal.archives-ouvertes.fr/hal-01974752/file/Conf-Tambov2018-Lemenkova-147-152.pdf
https://doi.org/10.6084/m9.figshare.7531550

Generative Adversarial Networks for geometric surfaces prediction in injection molding ; Generative Adversarial Networks for geometric surfaces prediction in injection molding: Performance analysis with Discrete Modal Decomposition

Autoři: Nagorny, Pierre Lacombe, Thomas Favreliere, Hugues a další

Přispěvatelé: Nagorny, Pierre Lacombe, Thomas Favreliere, Hugues a další

Zdroj: 2018 IEEE International Conference on Industrial Technology (ICIT)
https://hal.archives-ouvertes.fr/hal-01995293
2018 IEEE International Conference on Industrial Technology (ICIT), IEEE IES, Lyon 1 University, Ampère Lab, Satie Lab, Feb 2018, Lyon, France. pp.1514-1519, ⟨10.1109/ICIT.2018.8352405⟩
http://www.icit2018.org

Témata: Injection molding, Thermography, Quality prediction, Discrete Modal Decomposition, Generative Adversarial Networks, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.1: Applications and Expert Systems/I.2.1.2: Industrial automation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

Geografické téma: Lyon, France

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1901.10178; hal-01995293; https://hal.archives-ouvertes.fr/hal-01995293; https://hal.archives-ouvertes.fr/hal-01995293/document; https://hal.archives-ouvertes.fr/hal-01995293/file/IEEE%20ICIT2018_Generative%20Adversarial%20Networks%20for%20geometric%20surfaces%20prediction%20in%20injection%20molding.pdf; ARXIV: 1901.10178

Dostupnost: https://hal.archives-ouvertes.fr/hal-01995293
https://hal.archives-ouvertes.fr/hal-01995293/document
https://hal.archives-ouvertes.fr/hal-01995293/file/IEEE%20ICIT2018_Generative%20Adversarial%20Networks%20for%20geometric%20surfaces%20prediction%20in%20injection%20molding.pdf
https://doi.org/10.1109/ICIT.2018.8352405

Using GIS for Monitoring Lacustrine Ecosystem: a Case Study of Laguna de Gallocanta, Spain

Autoři: Lemenkova, Polina Ocean University of China (OUC) Swiss Government Excellence Scholarships for Foreign Scholars & Artists (ESKAS). Grant reference: 2008-0066/Russland/OP Referenz 675/Bri a další

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Swiss Government Excellence Scholarships for Foreign Scholars & Artists (ESKAS). Grant reference: 2008-0066/Russland/OP Referenz 675/Bri a další

Zdroj: Problems of the Environmental Landscape Planning ; https://hal.archives-ouvertes.fr/hal-01974747 ; Problems of the Environmental Landscape Planning, Novocherkasskij inzhenerno-meliorativnyj institut DGAU, Apr 2016, Novocherkassk, Russia. ⟨10.6084/m9.figshare.7210229⟩

Témata: Satellite image analysis, Image interpretation, Image classification, DEM analysis, DEM modelisation, DEM segmentation, Digital terrain analysis, Digital terrain model, Digital elevation model, Digital elevation model DEM, Spain, Environmental modeling, Hydrological modeling, SIG Systèmes d'information géographique, SIG et modélisation spatiale, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.1: Computer Uses in Education, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.2: Computer and Information Science Education, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]

Geografické téma: Novocherkassk, Russia

Relation: hal-01974747; https://hal.archives-ouvertes.fr/hal-01974747; https://hal.archives-ouvertes.fr/hal-01974747/document; https://hal.archives-ouvertes.fr/hal-01974747/file/Lemenkova_Novocherkassk2016.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01974747
https://hal.archives-ouvertes.fr/hal-01974747/document
https://hal.archives-ouvertes.fr/hal-01974747/file/Lemenkova_Novocherkassk2016.pdf
https://doi.org/10.6084/m9.figshare.7210229

Gesture control system for mobile robots ; Contrôle gestuel d'un robot en mobilité

Autoři: Dupont, Marc Marteau, Pierre-François Expressiveness in Human Centered Data/Media (EXPRESSION) a další

Přispěvatelé: Dupont, Marc Marteau, Pierre-François Expressiveness in Human Centered Data/Media (EXPRESSION) a další

Zdroj: IHM-2015 ; 27ème conférence francophone sur l'Interaction Homme-Machine. ; https://hal.science/hal-01219123 ; 27ème conférence francophone sur l'Interaction Homme-Machine., Oct 2015, Toulouse, France. pp.w20, ⟨10.1145/2820619.2825022⟩

Témata: control, robotics, time series, recognition, gesture, Reconnaissance gestuelle, robotique, IMU, distances éastiques, DTW, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.2: User Interfaces/H.5.2.6: Input devices and strategies (e.g., mouse, touchscreen), ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, [INFO]Computer Science [cs], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]

Geografické téma: Toulouse, France

Dostupnost: https://hal.science/hal-01219123
https://hal.science/hal-01219123/document
https://hal.science/hal-01219123/file/w20-dupont.pdf
https://doi.org/10.1145/2820619.2825022

Gesture control system for mobile robots ; Contrôle gestuel d'un robot en mobilité

Autoři: Dupont, Marc Marteau, Pierre-François Expressiveness in Human Centered Data/Media (EXPRESSION) a další

Přispěvatelé: Dupont, Marc Marteau, Pierre-François Expressiveness in Human Centered Data/Media (EXPRESSION) a další

Zdroj: IHM-2015 ; 27ème conférence francophone sur l'Interaction Homme-Machine. ; https://hal.science/hal-01219123 ; 27ème conférence francophone sur l'Interaction Homme-Machine., Oct 2015, Toulouse, France. pp.w20, ⟨10.1145/2820619.2825022⟩

Témata: control, robotics, time series, recognition, gesture, Reconnaissance gestuelle, robotique, IMU, distances éastiques, DTW, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.2: User Interfaces/H.5.2.6: Input devices and strategies (e.g., mouse, touchscreen), ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, [INFO]Computer Science [cs], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]

Geografické téma: Toulouse, France

Dostupnost: https://hal.science/hal-01219123
https://hal.science/hal-01219123v1/document
https://hal.science/hal-01219123v1/file/w20-dupont.pdf
https://doi.org/10.1145/2820619.2825022

Gesture control system for mobile robots ; Contrôle gestuel d'un robot en mobilité

Autoři: Dupont, Marc Marteau, Pierre-François Expressiveness in Human Centered Data/Media (EXPRESSION) a další

Přispěvatelé: Dupont, Marc Marteau, Pierre-François Expressiveness in Human Centered Data/Media (EXPRESSION) a další

Zdroj: IHM-2015 ; 27ème conférence francophone sur l'Interaction Homme-Machine. ; https://hal.archives-ouvertes.fr/hal-01219123 ; 27ème conférence francophone sur l'Interaction Homme-Machine., Oct 2015, Toulouse, France. pp.w20, ⟨10.1145/2820619.2825022⟩

Témata: time series, recognition, gesture, control, robotics, DTW, distances éastiques, Reconnaissance gestuelle, robotique, IMU, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.2: User Interfaces/H.5.2.6: Input devices and strategies (e.g., mouse, touchscreen), ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, [INFO]Computer Science [cs], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]

Geografické téma: Toulouse, France

Relation: hal-01219123; https://hal.archives-ouvertes.fr/hal-01219123; https://hal.archives-ouvertes.fr/hal-01219123/document; https://hal.archives-ouvertes.fr/hal-01219123/file/w20-dupont.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01219123
https://hal.archives-ouvertes.fr/hal-01219123/document
https://hal.archives-ouvertes.fr/hal-01219123/file/w20-dupont.pdf
https://doi.org/10.1145/2820619.2825022

Processing remote sensing data using Erdas Imagine for mapping Aegean Sea region, Turkey ; Обработка данных ДДЗ с использованием ПО Erdas Imagine для картографирования региона Эгейского моря, Турция

Autoři: Lemenkova, Polina Ocean University of China (OUC)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC)

Zdroj: Informatics. Problems, Methodology, Technologies ; https://hal.archives-ouvertes.fr/cel-01991382 ; Informatics. Problems, Methodology, Technologies, Feb 2015, Voronezh, Russia. pp.29, ⟨10.6084/m9.figshare.7434584.v1⟩

Témata: Spatial analysis, GIS Data Modelling, GIS Geographic Information System, Image analysis and processing, Image analysis, Image classification, Landsat Imagery, Landsat 7 ETM+, Image processing Pattern recognition, Image processing Image recognition, Image processing Digital image processing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.5: Implementation/I.5.5.1: Special architectures, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.3: Registration

Geografické téma: Voronezh, Russia

Relation: cel-01991382; https://hal.archives-ouvertes.fr/cel-01991382; https://hal.archives-ouvertes.fr/cel-01991382/document; https://hal.archives-ouvertes.fr/cel-01991382/file/Lemenkova_present_Voronezh022015.pdf

Dostupnost: https://hal.archives-ouvertes.fr/cel-01991382
https://hal.archives-ouvertes.fr/cel-01991382/document
https://hal.archives-ouvertes.fr/cel-01991382/file/Lemenkova_present_Voronezh022015.pdf
https://doi.org/10.6084/m9.figshare.7434584.v1

To the question of the environmental education: how Landsat TM, ETM+ and MSS images can be processed by GIS-techniques for geospatial research

Autoři: Lemenkova, Polina Ocean University of China (OUC)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC)

Zdroj: Trends and Perspectives in Creating Regional Systems of the Additional Education of Adults ; https://hal.archives-ouvertes.fr/hal-02425703 ; Trends and Perspectives in Creating Regional Systems of the Additional Education of Adults, Jun 2015, Vitebsk, Belarus. pp.25, ⟨10.13140/RG.2.2.14649.52320⟩

Témata: Landsat, Image processing, Mapping, Cartographic analysis, Geographic Information Science, Geographic Information System, GIS Analysis, Computer Aided Design, Computer science, Computer science and technology, Cartography -- computer science, ACM: G.: Mathematics of Computing, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, ACM: I.: Computing Methodologies, ACM: H.: Information Systems, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.5: Implementation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models

Geografické téma: Vitebsk, Belarus

Relation: hal-02425703; https://hal.archives-ouvertes.fr/hal-02425703

Dostupnost: https://hal.archives-ouvertes.fr/hal-02425703
https://doi.org/10.13140/RG.2.2.14649.52320

Mapping agricultural land by means of GIS for monitoring the use of natural resources (a case study of landscapes of South-Western Hungary)

Autoři: Lemenkova, Polina Ocean University of China (OUC) Ural State Agrarian University

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Ural State Agrarian University

Zdroj: Actual Problems of the Conservation and Development of Biological Resources ; https://hal.archives-ouvertes.fr/hal-02425724 ; Actual Problems of the Conservation and Development of Biological Resources, Ural State Agrarian University, Feb 2015, Yekaterinburg, Russia. pp.27, ⟨10.13140/RG.2.2.34031.79522⟩

Témata: Geography, Geography & Development, Geography and cartography, Geography and spaces, Image processing Digital image processing, Image processing Image recognition, Image processing Image reconstruction techniques, Image processing Pattern recognition, Image processing application, Image processing segmentation, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, [INFO]Computer Science [cs]

Geografické téma: Yekaterinburg, Russia

Relation: hal-02425724; https://hal.archives-ouvertes.fr/hal-02425724

Dostupnost: https://hal.archives-ouvertes.fr/hal-02425724
https://doi.org/10.13140/RG.2.2.34031.79522