Výsledky vyhľadávania - "rapid classification"

INTELLIGENT INFORMATION TECHNOLOGY FOR RAPID CLASSIFICATION UNDER CONDITIONS OF OVERLAPPING CLASSES

Zdroj: Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies; No. 2 (12) (2024); 108-112
Вестник Национального технического университета "ХПИ". Серия: Системный анализ, управление и информационные технологии; № 2 (12) (2024); 108-112
Вісник Національного технічного університету «ХПІ». Серія: Системний аналiз, управління та iнформацiйнi технологiї; № 2 (12) (2024); 108-112

Predmety: neo-fuzzy system, online mode, neural network, адаптивне навчання, nearline mode, adaptive learning, нейро-фаззі система, нечітка логіка, швидка класифікація, нео-фаззі система, fuzzy logic, перетинні класи, online режим, нейронна мережа, neuro-fuzzy system, rapid classification, overlapping classes, nearline режим

Popis súboru: application/pdf

Prístupová URL adresa: http://samit.khpi.edu.ua/article/view/320190

Rapid identification of lactic acid bacteria at species/subspecies level via ensemble learning of Ramanomes

Autori: Yan Ren Yang Zheng Xiaojing Wang a ďalší

Zdroj: Front Microbiol
Frontiers in Microbiology, Vol 15 (2024)

Predmety: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, LAB species/subspecies, fermented food, deep learning, Ramanome, Microbiology, rapid classification, QR1-502

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38650881
https://doaj.org/article/c830285aa47f4f7092b710743143e6e4

Research on Defect Detection Method for Composite Materials Based on Deep Learning Networks

Autori: Jing Cheng Wen Tan Yuhao Yuan a ďalší

Zdroj: Applied Sciences, Vol 14, Iss 10, p 4161 (2024)

Predmety: defect detection, Ghost module, attention mechanism, rapid classification, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/10/4161; https://doaj.org/toc/2076-3417; https://doaj.org/article/1af786bd865748aebe364bd9745e9302

Dostupnosť: https://doi.org/10.3390/app14104161
https://doaj.org/article/1af786bd865748aebe364bd9745e9302

A rapid classification method of the retired LiCoxNiyMn1−x−yO2 batteries for electric vehicles

Autori: Zhou, Ping He, Zhonglin Han, Tingting a ďalší

Zdroj: Energy Reports, Vol 6, Iss, Pp 672-683 (2020)

Predmety: Rapid classification, ddc:330, Capacity estimation, 0211 other engineering and technologies, Battery pack, 02 engineering and technology, Retired lithium-ion battery, 01 natural sciences, 7. Clean energy, TK1-9971, 0104 chemical sciences, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 0210 nano-technology, RBFNN

Prístupová URL adresa: https://doaj.org/article/595ba5a56ee441a483cb69d48292346d
https://www.econstor.eu/handle/10419/244067
https://www.econstor.eu/bitstream/10419/244067/1/1698095996.pdf
https://www.sciencedirect.com/science/article/pii/S2352484719313903
https://www.sciencedirect.com/science/article/abs/pii/S2352484719313903
http://hdl.handle.net/10419/244067

Alert Classification for the ALeRCE Broker System: The Anomaly Detector

Autori: Perez-Carrasco, Manuel Cabrera-Vives, Guillermo Hernandez-García, Lorena a ďalší

Predmety: Broker System, Alert Classification, Anomaly Detector, Automatic Learning for the Rapid Classification of Events (ALeRCE)

Popis súboru: application/pdf

Relation: Astronomical Journal, Volume 166, Issue 4, 1 October 2023, Article number 151; https://repositorio.unab.cl/xmlui/handle/ria/54470; ANID through Millennium Science Initiative Programs ICN12_009; ANID. NCN19_171; ACE210002; FB210003; FONDECYT Regular 1200710; FONDECYT Regular 1190818; FONDECYT Regular 1200495; FONDECYT Postdoctorado 3200250; QUIMAL140003; QUIMAL190012; H

Dostupnosť: https://repositorio.unab.cl/xmlui/handle/ria/54470
https://doi.org/10.3847/1538-3881/ace0c1

Rapid Classification and Quantification of Coal by Using Laser-Induced Breakdown Spectroscopy and Machine Learning

Autori: Yanning Zheng Qingmei Lu Anqi Chen a ďalší

Zdroj: Applied Sciences, Vol 13, Iss 14, p 8158 (2023)

Predmety: coal proximate analysis, laser-induced breakdown spectroscopy, machine learning, rapid classification and quantification, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/14/8158; https://doaj.org/toc/2076-3417; https://doaj.org/article/09aa5cab52114afc966332377ea502d9

Dostupnosť: https://doi.org/10.3390/app13148158
https://doaj.org/article/09aa5cab52114afc966332377ea502d9

PhyCysID: Plant Cystatin Protein Prediction by an Artificial Intelligence Approach

Autori: Sadaf Aqil Isabel C. Cadavid Nureyev F. Rodrigues a ďalší

Predmety: Biochemistry, Genetics, Biotechnology, Infectious Diseases, Virology, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, proteinaceous inhibitors found, https :// www, amino acid composition, 21 features derived, i2 ), intron, work presents phycysid, one inhibitory region, multidomain cystatins containing, true phytocystatin sequence, classify phytocystatin sequences, phytocystatin sequences, iwi ), input sequence, phytocystatin subtypes, phytocystatin class, submitted sequences, uniprot database, throughput analysis, structural characteristics, rapid classification, providing high

Relation: https://figshare.com/articles/dataset/PhyCysID_Plant_Cystatin_Protein_Prediction_by_an_Artificial_Intelligence_Approach/30053378

Dostupnosť: https://doi.org/10.1021/acs.jcim.5c00916.s004
https://figshare.com/articles/dataset/PhyCysID_Plant_Cystatin_Protein_Prediction_by_an_Artificial_Intelligence_Approach/30053378

Cancer cell classification with coherent diffraction imaging using an extreme ultraviolet radiation source

Autori: Zürch, Michael Foertsch, Stefan Matzas, Mark a ďalší

Zdroj: Journal of Medical Imaging. 1(3)

Predmety: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Breast Cancer, breast cancer, rapid classification, high harmonic generation, coherent diffraction imaging, high resolution imaging, Clinical sciences, Biomedical engineering

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/0tz822n4
https://escholarship.org/content/qt0tz822n4/qt0tz822n4.pdf

A Synthesized Study Based on Machine Learning Approaches for Rapid Classifying Earthquake Damage Grades to RC Buildings

Autori: Harirchian, Ehsan (Dr.-Ing.) Kumari, Vandana Jadhav, Kirti a ďalší

Predmety: Maschinelles Lernen, Neuronales Netz, Machine learning, Building safety assessment, artificial neural networks, supervised learning, damaged buildings, rapid classification, OA-Publikationsfonds2021, ddc:620, bk:56

Popis súboru: application/pdf

Relation: https://e-pub.uni-weimar.de/opus4/frontdoor/index/index/docId/4485; urn:nbn:de:gbv:wim2-20210818-44853; https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20210818-44853; https://e-pub.uni-weimar.de/opus4/files/4485/Harirchian_synthesized_study.pdf

Dostupnosť: https://e-pub.uni-weimar.de/opus4/frontdoor/index/index/docId/4485
https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20210818-44853
https://e-pub.uni-weimar.de/opus4/files/4485/Harirchian_synthesized_study.pdf

A Synthesized Study Based on Machine Learning Approaches for Rapid Classifying Earthquake Damage Grades to RC Buildings

Autori: Harirchian, Ehsan Kumari, Vandana Jadhav, Kirti a ďalší

Predmety: article, ScholarlyArticle, ddc:620, Maschinelles Lernen, Neuronales Netz, OA-Publikationsfonds2021, Building safety assessment, artificial neural networks, damaged buildings, rapid classification, supervised learning

Relation: Applied Sciences -- 2076-3417 -- http://uri.gbv.de/document/gvk:ppn:737287640 -- 2704225-X -- http://www.mdpi.com/journal/applsci -- http://www.bibliothek.uni-regensburg.de/ezeit/?2704225; https://doi.org/10.3390/app11167540; http://uri.gbv.de/document/gvk:ppn:1767241666

Dostupnosť: https://doi.org/10.3390/app11167540
https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20210818-44853
https://www.db-thueringen.de/receive/dbt_mods_00062336
https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00064678/Harirchian_synthesized_study.pdf
http://uri.gbv.de/document/gvk:ppn:1767241666
https://www.mdpi.com/2076-3417/11/16/7540

Electronic supplemental material from A perceptual bias for man-made objects in humans.

Autori: Ahamed Miflah Hussain Ismail Joshua A. Solomon Miles Hansard a ďalší

Predmety: Neuroscience, Cognitive Science not elsewhere classified, Animal Behaviour, natural images, ambiguity, rapid classification, perceptual bias, prior expectations

Dostupnosť: https://doi.org/10.6084/m9.figshare.10003364.v2
https://figshare.com/articles/journal_contribution/Electronic_supplemental_material_from_A_perceptual_bias_for_man-made_objects_in_humans/10003364

Data_Sheet_1_Rapid identification of lactic acid bacteria at species/subspecies level via ensemble learning of Ramanomes.zip

Autori: Yan Ren Yang Zheng Xiaojing Wang a ďalší

Predmety: Microbiology, Microbial Genetics, Microbial Ecology, Mycology, Ramanome, rapid classification, deep learning, LAB species/subspecies, fermented food

Relation: https://figshare.com/articles/dataset/Data_Sheet_1_Rapid_identification_of_lactic_acid_bacteria_at_species_subspecies_level_via_ensemble_learning_of_Ramanomes_zip/25561653

Dostupnosť: https://doi.org/10.3389/fmicb.2024.1361180.s001
https://figshare.com/articles/dataset/Data_Sheet_1_Rapid_identification_of_lactic_acid_bacteria_at_species_subspecies_level_via_ensemble_learning_of_Ramanomes_zip/25561653

Rapid and Automatic Classification of Tobacco Leaves Using a Hand-Held DLP‑Based NIR Spectroscopy Device

Autori: Zhang Jianqiang Yang Panpan Liu Weijuan a ďalší

Zdroj: Journal of the Brazilian Chemical Society v.30 n.9 2019
Journal of the Brazilian Chemical Society
Sociedade Brasileira de Química (SBQ)
instacron:SBQ
Journal of the Brazilian Chemical Society, Volume: 30, Issue: 9, Pages: 1927-1932, Published: 16 SEP 2019

Predmety: 0301 basic medicine, sparse representation classification, 0303 health sciences, 03 medical and health sciences, practical application, hand-held DLP-based NIR, automatic and rapid classification

Popis súboru: text/html

Prístupová URL adresa: https://www.scielo.br/j/jbchs/a/VhC3rBFKH8C4zGSmwyHpHDb/
http://www.scielo.br/j/jbchs/a/VhC3rBFKH8C4zGSmwyHpHDb/
https://www.cabdirect.org/cabdirect/abstract/20203449640
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532019000901927
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532019000901927&lng=en&tlng=en

A perceptual bias for man-made objects in humans

Autori: Isabelle Mareschal Ahamed Miflah Hussain Ismail Joshua A. Solomon a ďalší

Prispievatelia: Isabelle Mareschal Ahamed Miflah Hussain Ismail Joshua A. Solomon a ďalší

Zdroj: Proc Biol Sci
Proceedings of the Royal Society B: Biological Sciences

Predmety: Artificial intelligence, Manufactured Materials, Neural Mechanisms of Visual Perception and Processing, Cognitive Neuroscience, Gene, Biochemistry, Neuroscience and Cognition, 03 medical and health sciences, 0302 clinical medicine, Bias, Face Perception, natural images, Cognitive psychology, Animals, Humans, Psychology, 0501 psychology and cognitive sciences, Neural Mechanisms of Face Perception and Recognition, Biology, Object Recognition, Communication, 05 social sciences, perceptual bias, Life Sciences, prior expectations, Visual Attention, Computer science, FOS: Psychology, Dominance (genetics), Space Perception, Computer Science, Physical Sciences, ambiguity, Computational Modeling of Visual Saliency Detection, Visual Perception, RE, Perception, Object (grammar), Computer vision, Computer Vision and Pattern Recognition, Perceptual Learning, rapid classification, Neuroscience

Popis súboru: application/pdf

Prístupová URL adresa: https://royalsocietypublishing.org/doi/pdf/10.1098/rspb.2019.1492
https://pubmed.ncbi.nlm.nih.gov/31690239
https://openaccess.city.ac.uk/id/eprint/23016/
https://qmro.qmul.ac.uk/xmlui/handle/123456789/60443
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842849
https://royalsocietypublishing.org/doi/pdf/10.1098/rspb.2019.1492
https://pubmed.ncbi.nlm.nih.gov/31690239/
https://royalsocietypublishing.org/doi/10.1098/rspb.2019.1492

Data from: A perceptual bias for man-made objects in humans

Autori: Hussain Ismail, Ahamed Miflah Solomon, Joshua Hansard, Miles a ďalší

Predmety: ambiguity, natural images, perceptual bias, rapid classification, prior expectations

Relation: https://zenodo.org/communities/dryad/; https://zenodo.org/records/4965211; oai:zenodo.org:4965211; https://doi.org/10.5061/dryad.q3j21m8

Dostupnosť: https://doi.org/10.5061/dryad.q3j21m8
https://zenodo.org/records/4965211

Rapid and Automatic Classification of Tobacco Leaves Using a Hand-Held DLP-Based NIR Spectroscopy Device

Autori: Jianqiang, Zhang Panpan, Yang Weijuan, Liu a ďalší

Zdroj: Journal of the Brazilian Chemical Society, Volume: 30, Issue: 9, Pages: 1927-1932, Published: 16 SEP 2019. September 2019

Predmety: hand-held DLP-based NIR, sparse representation classification, automatic and rapid classification, practical application

Popis súboru: text/html

Prístupová URL adresa: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532019000901927&lng=en&tlng=en

Fingerprinting of yogurt products by laser desorption spray post-ionization mass spectrometry

Autori: Liu, Jia Qiu, Bo Luo, Hai a ďalší

Prispievatelia: Liu, Jia Qiu, Bo Luo, Hai a ďalší

Zdroj: PubMed ; SCI

Predmety: ELECTROSPRAY-IONIZATION, ATMOSPHERIC-PRESSURE, AMBIENT CONDITIONS, COUNTERFEIT DETECTION, RAPID CLASSIFICATION, ION-SOURCE, DESORPTION/IONIZATION, PROTEINS, SOLIDS, VERSATILE

Relation: 668277; http://hdl.handle.net/20.500.11897/150085; WOS:000277352700020

Dostupnosť: https://hdl.handle.net/20.500.11897/150085
https://doi.org/10.1002/rcm.4527

INTELLIGENT INFORMATION TECHNOLOGY FOR RAPID CLASSIFICATION UNDER CONDITIONS OF OVERLAPPING CLASSES

Zdroj: Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies; No. 2 (12) (2024); 108-112; № 2 (12) (2024); 108-112; № 2 (12) (2024); 108-112; 2410-2857; 2079-0023

Témy: rapid classification, overlapping classes, online mode, nearline mode, neural network, neuro-fuzzy system, neo-fuzzy system, adaptive learning, fuzzy logic, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: http://samit.khpi.edu.ua/article/view/320190
http://samit.khpi.edu.ua/article/view/320190/310777
http://samit.khpi.edu.ua/article/view/320190/310777

Classification of foodborne bacteria using hyperspectral microscope imaging technology coupled with convolutional neural networks ^‡ .

Autori: Kang R Park B Eady M a ďalší

Zdroj: Applied microbiology and biotechnology [Appl Microbiol Biotechnol] 2020 Apr; Vol. 104 (7), pp. 3157-3166. Date of Electronic Publication: 2020 Feb 12.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Springer International Country of Publication: Germany NLM ID: 8406612 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0614 (Electronic) Linking ISSN: 01757598 NLM ISO Abbreviation: Appl Microbiol Biotechnol Subsets: MEDLINE

Výrazy zo slovníka MeSH: Microscopy*/methods , Neural Networks, Computer*, Bacterial Typing Techniques/*methods , Food Microbiology/*methods, Algorithms ; Foodborne Diseases/microbiology ; Image Processing, Computer-Assisted ; Machine Learning ; Spectrum Analysis