المؤلفون: Langyue Zhao, Yiquan Wu, Yubin Yuan, Kang Tong

المصدر: IET Image Processing, Vol 18, Iss 9, Pp 2434-2448 (2024)

مصطلحات موضوعية: automatic defect detection, complex background, attention network, cross‐channel interaction, Photography, TR1-1050, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1751-9659; https://doaj.org/toc/1751-9667

URL الوصول: https://doaj.org/article/a80ad2e00dcd4a8e89f57fe1b65cc0fb

المؤلفون: Jianying Huang, Hoon Kang

المصدر: IEEE Access, Vol 12, Pp 92797-92825 (2024)

مصطلحات موضوعية: Sewer pipe, closed-circuit television, automatic defect detection, deep learning, attention mechanism, you only look once version 5, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10579972/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/da0acc508ca24d15be5bc098c700ef85

المؤلفون: Alireza Saberironaghi, Jing Ren

المصدر: Journal of Imaging, Vol 10, Iss 5, p 100 (2024)

مصطلحات موضوعية: deep learning, defect detection, crack segmentation, pavement crack detection, surface defect detection, automatic defect detection, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95

Relation: https://www.mdpi.com/2313-433X/10/5/100; https://doaj.org/toc/2313-433X; https://doaj.org/article/060ea2971e634add84790252155db288

الاتاحة: https://doi.org/10.3390/jimaging10050100
https://doaj.org/article/060ea2971e634add84790252155db288

المؤلفون: Mansuri, Lukman E., Patel, D.A.

المصدر: Smart and Sustainable Built Environment, 2021, Vol. 11, Issue 3, pp. 622-646.

URL الوصول: http://www.emeraldinsight.com/doi/10.1108/SASBE-09-2020-0139

المؤلفون: Ha, Duc Bach, Schalter, Birgit, White, Laura, Köhler, Joachim

مصطلحات موضوعية: Object Detection, Automatic Defect Detection, Sewer Inspection, AI Based Process Optimization

وصف الملف: application/pdf

Relation: International Conference on Image Processing and Vision Engineering 2023; #PLACEHOLDER_PARENT_METADATA_VALUE#; IMPROVE 2023, 3rd International Conference on Image Processing and Vision Engineering. Proceedings; Automatische Zustandsanalyse von Kanalnetzen; 13N13891; https://publica.fraunhofer.de/handle/publica/449102; https://doi.org/10.24406/h-449102

الاتاحة: https://publica.fraunhofer.de/handle/publica/449102
https://doi.org/10.5220/0011986300003497
https://doi.org/10.24406/h-449102

المؤلفون: Neves, Lara Souto das

المساهمون: Castelli, Mauro, Ferreira, Tiago, RUN

مصطلحات موضوعية: Machine Learning, Wind Turbines, Turbine Blades, Deep Learning, Faster-RCNN, TensorFlow, Object Detection API, Automatic Defect Detection, Damage Detection, Artificial Intelligence, Optimising Wind O&M, SDG 7 - Affordable and clean energy

وصف الملف: application/pdf

الاتاحة: http://hdl.handle.net/10362/134713

المؤلفون: Jisang Mun, Jinyoub Kim, Yeji Do, Hayul Kim, Chegyu Lee, Jongpil Jeong

المصدر: Processes, Vol 11, Iss 2751, p 2751 (2023)

مصطلحات موضوعية: automatic defect detection, YOLOv5, deep learning, object detection, lead tap, computer vision, Chemical technology, TP1-1185, Chemistry, QD1-999

Relation: https://www.mdpi.com/2227-9717/11/9/2751; https://doaj.org/toc/2227-9717; https://doaj.org/article/6fd2c6a7fa3b4eb9bea11af4af2b8e7c

الاتاحة: https://doi.org/10.3390/pr11092751
https://doaj.org/article/6fd2c6a7fa3b4eb9bea11af4af2b8e7c

المؤلفون: Friederike Jensen, Marina Terlau, Michael Sorg, Andreas Fischer

المصدر: Applied Sciences; Volume 11; Issue 20; Pages: 9545

مصطلحات موضوعية: active thermography, sub-surface defects, defect visualization, automatic defect detection, leading edge, wind turbine rotor blade, coated and curved surface, GFRP-structure

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Materials Science and Engineering; https://dx.doi.org/10.3390/app11209545

الاتاحة: https://doi.org/10.3390/app11209545

المؤلفون: Qiang Fang, Clemente Ibarra-Castanedo, Xavier Maldague

المصدر: Big Data and Cognitive Computing; Volume 5; Issue 1; Pages: 9

مصطلحات موضوعية: automatic defect detection, infrared thermography, deep learning algorithms, Non-Destructive Evaluation (NDE), supervised learning, image processing, data augmentation, Finite Element Models (FEM)

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/bdcc5010009

الاتاحة: https://doi.org/10.3390/bdcc5010009

المؤلفون: Kostenetskiy Pavel, Alkapov Rustem, Vetoshkin Nikita, Chulkevich Roman, Napolskikh Ilya, Poponin Ostap

المصدر: FME Transactions, Vol 47, Iss 4, Pp 765-774 (2019)

مصطلحات موضوعية: automatic defect detection, automatic defect classification, artificial neural networks, computer vision, Engineering (General). Civil engineering (General), TA1-2040, Mechanics of engineering. Applied mechanics, TA349-359

وصف الملف: electronic resource

Relation: https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2019/1451-20921904765K.pdf; https://doaj.org/toc/1451-2092; https://doaj.org/toc/2406-128X

URL الوصول: https://doaj.org/article/aa591c7a4df7413195f6caf0e0e2746a

المؤلفون: Sergey Vartanov, Alexander Gerasimov

المصدر: Труды Института системного программирования РАН, Vol 25, Iss 0, Pp 9-28 (2018)

مصطلحات موضوعية: итеративный динамичеcкий анализ программ, автоматический поиск ошибок, анализ java программ, software iterative dynamic analysis, automatic defect detection, java bytecode instrumentation, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://ispranproceedings.elpub.ru/jour/article/view/870; https://doaj.org/toc/2079-8156; https://doaj.org/toc/2220-6426

URL الوصول: https://doaj.org/article/e1df2baeb7b745e5b5c29e7187656fde

المؤلفون: Kenli Li, Cheng Zhongyao, Francesco Piccialli, Steven C. H. Hoi, Cen Chen, Zeng Zeng

المساهمون: Chen, C., Li, K., Zhongyao, C., Piccialli, F., Hoi, S. C. H., Zeng, Z.

المصدر: IEEE Transactions on Intelligent Transportation Systems. 23:3268-3280

مصطلحات موضوعية: Object detection, Computer science, Feature extraction, Image processing, train component defect, visual inspection, Rail transportation, deep convolutional neural network, Component (UML), Automatic defect detection, 0502 economics and business, Image segmentation, 050210 logistics & transportation, Artificial neural network, business.industry, Inspection, Mechanical Engineering, Deep learning, 05 social sciences, Pattern recognition, railway system, Computer Science Applications, Automotive Engineering, Train, Artificial intelligence, business, Semantic

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b18e260baa8cfee2b5f930124248d789
https://doi.org/10.1109/tits.2020.3034239

المؤلفون: Mantel, Claire, Villebro, Frederik, Alves dos Reis Benatto , Gisele, Parikh, Harsh Rajesh, Wendlandt, Stefan, Hossain, Kabir, Poulsen, Peter, Spataru, Sergiu Viorel, Séra, Dezso, Forchhammer, Søren

المساهمون: Zelinski, Michael E., Taha, Tarek M., Howe, Jonathan, Awwal, Abdul A. S., Iftekharuddin, Khan M.

المصدر: Mantel , C , Villebro , F , Alves dos Reis Benatto , G , Parikh , H R , Wendlandt , S , Hossain , K , Poulsen , P , Spataru , S V , Séra , D & Forchhammer , S 2019 , Machine learning prediction of defect types for electroluminescence images of photovoltaic panels . in M E Zelinski , T M Taha , J Howe , A A S Awwal & K M Iftekharuddin (eds) , Proceedings of SPIE Optical Engineering + Applications : Applications of Machine Learning . , 1113904 , SPIE - ....

مصطلحات موضوعية: Automatic defect detection, Electroluminescence imaging, Machine learning, Photovoltaic panels

وصف الملف: application/pdf

Relation: urn:ISBN:9781510629714

الاتاحة: https://vbn.aau.dk/da/publications/b63d84d5-1f28-4c75-8a90-dec7e202fb8d
https://doi.org/10.1117/12.2528440
https://vbn.aau.dk/ws/files/329322511/1113904.pdf
http://www.scopus.com/inward/record.url?scp=85075748378&partnerID=8YFLogxK

المؤلفون: Wang, Xing, Thiyagarajan, Karthick, Kodagoda, Sarath, Zhang, Miao

المصدر: Wang , X , Thiyagarajan , K , Kodagoda , S & Zhang , M 2023 , ' PIPE-CovNet : Automatic In-Pipe Wastewater Infrastructure Surface Abnormality Detection Using Convolutional Neural Network ' , IEEE Sensors Letters , vol. 7 , no. 4 , 6001904 . https://doi.org/10.1109/LSENS.2023.3258543

مصطلحات موضوعية: automatic defect detection, deep learning, infrastructure robotics, pipe robotics, robot vision, Sensor applications

الاتاحة: https://vbn.aau.dk/da/publications/e398176b-457f-4998-a438-3b95eb18eae8
https://doi.org/10.1109/LSENS.2023.3258543
http://www.scopus.com/inward/record.url?scp=85151493293&partnerID=8YFLogxK

المؤلفون: Chen C., Li K., Zhongyao C., Piccialli F., Hoi S. C. H., Zeng Z.

المساهمون: Chen, C., Li, K., Zhongyao, C., Piccialli, F., Hoi, S. C. H., Zeng, Z.

مصطلحات موضوعية: Automatic defect detection, deep convolutional neural network, Deep learning, Feature extraction, Image segmentation, Inspection, Object detection, Rail transportation, railway system, Semantic, train component defect, visual inspection

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000776187400033; volume:23; issue:4; firstpage:3268; lastpage:3280; numberofpages:13; journal:IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS; http://hdl.handle.net/11588/832417; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85098753442

الاتاحة: http://hdl.handle.net/11588/832417
https://doi.org/10.1109/TITS.2020.3034239

المؤلفون: Ciuffini A. F., Di Giovanni F., Mombelli D.

المساهمون: Ciuffini, A. F., Di Giovanni, F., Mombelli, D.

مصطلحات موضوعية: CONTINUOUS CASTING, OPTICAL SYSTEMS FOR AUTOMATIC DEFECT DETECTION, OSCILLATION MARKS, STAINLESS STEELS

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000794271000007; volume:114; issue:4; firstpage:59; lastpage:69; numberofpages:11; journal:LA METALLURGIA ITALIANA; http://hdl.handle.net/11311/1221769; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85136680923

الاتاحة: http://hdl.handle.net/11311/1221769

المؤلفون: Ciuffini, A. F., Di Giovanni, F., Mombelli, D.

مصطلحات موضوعية: OSCILLATION MARKS, CONTINUOUS CASTING, OPTICAL SYSTEMS FOR AUTOMATIC DEFECT DETECTION, STAINLESS STEELS

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3731::b93f8d38940c8b9e672fc1380497c35d
http://hdl.handle.net/11311/1221769

المؤلفون: Tan, Yi, Cai, Ruying, Li, Jingru, Chen, Penglu, Wang, Mingzhu

مصطلحات موضوعية: Automatic defect detection, CCTV, CNN, Computer vision, Deep learning, Object detection, Sewer defects, YOLO

Relation: http://repository.ust.hk/ir/Record/1783.1-113496; Automation in Construction, v. 131, November 2021, article number 103912; https://doi.org/10.1016/j.autcon.2021.103912; http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0926-5805&rft.volume=131&rft.issue=&rft.date=2021&rft.spage=&rft.aulast=Tan&rft.aufirst=&rft.atitle=Automatic+detection+of+sewer+defects+based+on+improved+you+only+look+once+algorithm&rft.title=Automation+in+Construction; http://www.scopus.com/record/display.url?eid=2-s2.0-85113313097&origin=inward

الاتاحة: http://repository.ust.hk/ir/Record/1783.1-113496
https://doi.org/10.1016/j.autcon.2021.103912
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0926-5805&rft.volume=131&rft.issue=&rft.date=2021&rft.spage=&rft.aulast=Tan&rft.aufirst=&rft.atitle=Automatic+detection+of+sewer+defects+based+on+improved+you+only+look+once+algorithm&rft.title=Automation+in+Construction
http://www.scopus.com/record/display.url?eid=2-s2.0-85113313097&origin=inward

المؤلفون: Femmer, Henning, Méndez Fernández, Daniel, Wagner, Stefan, Eder, Sebastian

مصطلحات موضوعية: Requirements engineering, Qualitätssicherung, Fehlererkennung, Automatische Fehlererkennung, Smells in Anforderungen, Automatic Defect Detection, Requirements Smells

Time: 004

Relation: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-105593; http://elib.uni-stuttgart.de/handle/11682/8496; http://dx.doi.org/10.18419/opus-8479

الاتاحة: https://doi.org/10.18419/opus-8479
http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-105593
http://elib.uni-stuttgart.de/handle/11682/8496

المؤلفون: Stefan Wagner, D. Méndez Fernández, Henning Femmer, Sebastian Eder

المصدر: Journal of Systems and Software. 123:190-213

مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, media_common.quotation_subject, Context (language use), 02 engineering and technology, Variation (game tree), Automatische Fehlererkennung , Smells in Anforderungen, Software development process, Computer Science - Software Engineering, 0202 electrical engineering, electronic engineering, information engineering, Quality (business), Requirements analysis, media_common, Requirements engineering , Qualitätssicherung , Fehlererkennung, Requirements engineering, business.industry, Code smell, 020207 software engineering, Automatic Defect Detection , Requirements Smells, Software Engineering (cs.SE), Hardware and Architecture, 020201 artificial intelligence & image processing, business, Software engineering, Quality assurance, Software, Information Systems

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72409f8fbb31bb9bc4b9e5821b001a21
https://doi.org/10.1016/j.jss.2016.02.047