Suchergebnisse - "Computer vision algorithm"
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1
Autoren: et al.
Quelle: J Synchrotron Radiat
Journal of Synchrotron Radiation, Vol 31, Iss 6, Pp 1514-1524 (2024)Schlagwörter: sample-position tracking, Crystallography, soft x-ray absorption spectroscopy, computer vision algorithms, QC770-798, 006: Spezielle Computerverfahren, Computer vision algorithm, Research Papers, Sample-position accuracy, 540: Chemie, Sample-position tracking, Soft X-ray absorption spectroscopy, QD901-999, Nuclear and particle physics. Atomic energy. Radioactivity, sample-position accuracy, variable temperature inserts, Variable temperature inserts
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2
Autoren: et al.
Quelle: 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). :702-709
Schlagwörter: Automatic monitoring, Canopy's micro-climate station, Computer Vision Algorithm, Halyomorpha halys detection, Hardware Evaluation, IoT trap, Technological transfer, Halyomorpha halys detection, Automatic monitoring, Hardware Evaluation, Computer Vision Algorithm, Technological transfer, IoT trap, Canopy's micro-climate station, Deep learning, Training, Economics, Technological innovation, Image edge detection, Autonomous aerial vehicles, Hardware
Dateibeschreibung: application/pdf
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Autoren:
Quelle: 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). :380-385
Schlagwörter: Halyomorpha halys detection, Drones, Computer Vision Algorithm, Technological transfer
Dateibeschreibung: application/pdf
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4
Autoren:
Quelle: 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). :363-368
Schlagwörter: Halyomorpha halys detection, Drones, Computer Vision Algorithm, Technological transfer
Dateibeschreibung: application/pdf
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Autoren: Diani Sirimewan
Schlagwörter: Construction engineering, MonashVYT, Construction waste management, Construction and Demolition Waste, Construction and demolition waste (C&D waste), construction and demolition debris, Construction and Demolition Waste (CDW), waste handling, waste handling processes, Automation, Automated waste handling, Automated waste recognition, Automated waste sorting, Computer vision, computer vision algorithm, artificial intelligence, Artificial Intelligence (AI), Construction and demolition waste handling, Construction and demolition waste sorting, Construction and demolition waste recognition
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Autoren:
Quelle: Electronics Letters, Vol 59, Iss 20, Pp n/a-n/a (2023)
Schlagwörter: I460 - Machine learning, I100 - Computer science, deep learning, 02 engineering and technology, privacy preserving, health care, computer vision, TK1-9971, fall detection, machine learning, I440 - Computer vision, I400 - Artificial intelligence, 0202 electrical engineering, electronic engineering, information engineering, Fall Detection, computer vision algorithm, Electrical engineering. Electronics. Nuclear engineering
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8
Autoren: et al.
Quelle: Behav Res Methods
Schlagwörter: Eye Movements, 05 social sciences, Reproducibility of Results, 02 engineering and technology, Computer vision algorithm, Article, 3. Good health, Eye-tracking glasses, Person re-identification, 0202 electrical engineering, electronic engineering, information engineering, Gaze behaviour, Humans, Areas-of-interest, 0501 psychology and cognitive sciences, Eye-Tracking Technology, Pose estimation, Algorithms, Vision, Ocular
Zugangs-URL: https://link.springer.com/content/pdf/10.3758/s13428-021-01544-2.pdf
https://pubmed.ncbi.nlm.nih.gov/33742418
https://link.springer.com/content/pdf/10.3758/s13428-021-01544-2.pdf
https://pubmed.ncbi.nlm.nih.gov/33742418/
https://www.ncbi.nlm.nih.gov/pubmed/33742418
https://link.springer.com/article/10.3758/s13428-021-01544-2
https://europepmc.org/article/PMC/PMC8516759
https://pure.amsterdamumc.nl/en/publications/4ebc5157-5301-4e2d-aad2-7649990fc635
https://doi.org/10.3758/s13428-021-01544-2 -
9
Autoren: et al.
Quelle: Computers and Electronics in Agriculture. 226:109365
Schlagwörter: Halyomorpha halys detection, Drones, Computer vision algorithm, Technological transfer
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10
Autoren: Zhou, Xiangming
Quelle: International Journal of Informatics and Information Systems; Vol 6, No 1: January 2023; 8 - 15 ; 2579-7069 ; 10.47738/ijiis.v6i1
Schlagwörter: Computer Vision Algorithm, Drone, Graphics and Image Processing, Real-time System
Dateibeschreibung: application/pdf
Relation: http://ijiis.org/index.php/IJIIS/article/view/149/104; http://ijiis.org/index.php/IJIIS/article/view/149
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11
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Semi-flexible pavements (SFP), Finite element model, Composite interface, Computer vision algorithm, Digital image
Dateibeschreibung: ELETTRONICO
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001400883000002; volume:58; issue:43; firstpage:1; lastpage:15; numberofpages:15; journal:MATERIALS AND STRUCTURES; https://hdl.handle.net/11577/3546296
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Autoren:
Weitere Verfasser:
Quelle: 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). :1-6
Schlagwörter: [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-TS] Computer Science [cs]/Signal and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Object tracking, [INFO] Computer Science [cs], Computer vision algorithm
Dateibeschreibung: application/pdf
Zugangs-URL: https://hal.inria.fr/hal-01928612/file/PID5568623.pdf
https://inria.hal.science/hal-01928612v1
https://hal.inria.fr/hal-01928612
https://hal.inria.fr/hal-01928612/document
https://dblp.uni-trier.de/db/conf/avss/avss2018.html#ZunigaNB18
http://dblp.uni-trier.de/db/conf/avss/avss2018.html#ZunigaNB18 -
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Simultaneous semantic segmentation and friction estimation using hierarchical latent variable models
Autoren: Mohammad Otoofi
Schlagwörter: Deep learning, Computer vision algorithm, Semantic segmentation, Friction coefficients, Regression algorithm, Variational autoencoder (VAE), Probabalistic neural networks, Generative AI (GenAI), Uncertainty analysis, Vehicle
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15
Autoren: et al.
Weitere Verfasser: et al.
Quelle: GDR ISIS - Intelligence artificielle/Apprentissage machine pour l'agriculture ; https://hal.inrae.fr/hal-03023955 ; GDR ISIS - Intelligence artificielle/Apprentissage machine pour l'agriculture, Centre national de la recherche scientifique, Nov 2020, Inconnu, France
Schlagwörter: Monitoring, Computer vision algorithm, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
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16
Autoren: et al.
Schlagwörter: data extraction, region growing, microfludic paper-based devices, computer vision algorithm
Dateibeschreibung: born digital; masters theses; application/pdf
Relation: 2020-; Deotale_colostate_0053N_16595.pdf; https://hdl.handle.net/10217/233675
Verfügbarkeit: https://hdl.handle.net/10217/233675
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17
Autoren: et al.
Schlagwörter: I400 - Artificial intelligence, I440 - Computer vision, I460 - Machine learning, deep learning, pose estimation, computer vision algorithm
Relation: 10779/lincoln.28105586.v1
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18
Autoren: et al.
Weitere Verfasser: et al.
Quelle: Remote Sensing of Environment (198), 105-114. (2017)
Schlagwörter: biodiversité végétale, multi-objective particle swarm optimization (mopso), [SDE.MCG]Environmental Sciences/Global Changes, culture agricole, Plant density, Unmanned aerial vehicle, Computer vision algorithm, Particle swarm optimization (PSO)-support vector machine (SVM), Winter wheat, optimisation multi-objectifs par essaim particulaire (mopso), 04 agricultural and veterinary sciences, drone, [SDE.MCG] Environmental Sciences/Global Changes, blé, wheat, phénotypage, densité de végétation, 0401 agriculture, forestry, and fisheries, imagerie haute resolution, Milieux et Changements globaux
Dateibeschreibung: application/pdf
Zugangs-URL: https://hal.archives-ouvertes.fr/hal-01578842/file/harnessing_1.pdf
http://www.sciencedirect.com/science/article/pii/S0034425717302651
http://ui.adsabs.harvard.edu/abs/2017RSEnv.198..105J/abstract
https://www.cabdirect.org/cabdirect/abstract/20173268437
https://www.sciencedirect.com/science/article/pii/S0034425717302651
http://prodinra.inra.fr/record/404919
https://hal.science/hal-01578842v1/document
https://hal.science/hal-01578842v1
https://doi.org/10.1016/j.rse.2017.06.007 -
19
Autoren: Jorge Vasquez Albornoz
Schlagwörter: Mechanical engineering not elsewhere classified, computer vision algorithm, data centric ai, data Science, deep learning, Machine Learning, robotics, Mechanical Engineering
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Autoren:
Quelle: Kara Mohamed, M, Patra, S & Lanzon, A 2011, Designing simple indoor navigation system for UAVs. in 2011 19th Mediterranean Conference on Control and Automation, MED 2011|Mediterr. Conf. Control Autom., MED. pp. 1223-1228, 2011 19th Mediterranean Conference on Control and Automation, MED 2011, Corfu, 1/07/11. https://doi.org/10.1109/MED.2011.5983054
Schlagwörter: 0209 industrial biotechnology, heavy image processing algorithm, indoor UAV, 02 engineering and technology, laser dots, Global Positioning System, aircraft navigation, cameras, 0202 electrical engineering, electronic engineering, information engineering, computer vision algorithm, indoor navigation system design, path planning, video shot quality, Nonvolatile memory, Earth, Random access memory, Cameras, Ferroelectric films, robot vision, aircraft control, laser beam, INS-GPS navigation system, CAH10-01-08 - electrical and electronic engineering, remotely operated vehicles, GPS signal, vision camera
Dateibeschreibung: application/pdf; text
Zugangs-URL: http://www.open-access.bcu.ac.uk/3929/1/2.pdf
https://research.manchester.ac.uk/en/publications/60bce480-55bb-42f5-b30a-17e947017b33
https://doi.org/10.1109/MED.2011.5983054
https://ieeexplore.ieee.org/document/5983054/
https://www.research.manchester.ac.uk/portal/files/33715778/FULL_TEXT.PDF
https://www.research.manchester.ac.uk/portal/en/publications/designing-simple-indoor-navigation-system-for-uavs(60bce480-55bb-42f5-b30a-17e947017b33).html
https://www.open-access.bcu.ac.uk/3929/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005983054
https://research.manchester.ac.uk/en/publications/60bce480-55bb-42f5-b30a-17e947017b33
https://doi.org/10.1109/MED.2011.5983054
https://pure.manchester.ac.uk/ws/files/33715778/FULL_TEXT.PDF
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