المؤلفون: Sara Naseri Golestani, Mahdi SadeghiBakhi, King Fai Ma, Henry Leung

المصدر: IEEE Open Journal of Instrumentation and Measurement, Vol 4, Pp 1-12 (2025)

مصطلحات موضوعية: Deep learning, environmental monitoring, HydraNet, Mask-RCNN (MRCNN), multitask learning (MTL), object detection, Instruments and machines, QA71-90, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10758711/; https://doaj.org/toc/2768-7236

URL الوصول: https://doaj.org/article/8d38ac31383a42a2b3236e0e3bbd7990

المؤلفون: Akram, Arslan, Rashid, Javed, Jaffar, Muhammad Arfan, Faheem, Muhammad, Amin, Riaz ul

المساهمون: fi=Vaasan yliopisto|en=University of Vaasa, orcid:0000-0003-4628-4486, fi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations, fi=Ei tutkimusalustaa|en=No platform

المصدر: WOS:001101568700001 ; Scopus:85177057156

مصطلحات موضوعية: Internet of Medical Things, ISIC-2020, melanoma skin cancer, MRCNN, ResNet50, deep learning, fi=Tietotekniikka|en=Computer Science

وصف الملف: fi=kokoteksti|en=fulltext; true

Relation: 11; Skin Research and Technology; 29; https://doi.org/10.1111/srt.13524; https://osuva.uwasa.fi/handle/10024/16967; URN:NBN:fi-fe202403059862

الاتاحة: https://osuva.uwasa.fi/handle/10024/16967

المؤلفون: Kaikang Chen, Bo Zhao, Liming Zhou, Yongjun Zheng

المصدر: Agriculture; Volume 13; Issue 4; Pages: 888

مصطلحات موضوعية: artificial neural network, plant factory, plant phenotype, ant colony algorithm, MRCNN

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Agricultural Technology; https://dx.doi.org/10.3390/agriculture13040888

الاتاحة: https://doi.org/10.3390/agriculture13040888

المؤلفون: Wenqing Zhu, Guangbo Ren, Jianping Wang, Jianbu Wang, Yabin Hu, Zhaoyang Lin, Wei Li, Yajie Zhao, Shibao Li, Ning Wang

المصدر: Remote Sensing; Volume 14; Issue 11; Pages: 2630

مصطلحات موضوعية: Spartina alterniflora, Jiangsu, time series Landsat images, deep learning, MRCNN, tidal flat reclamation

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Environmental Remote Sensing; https://dx.doi.org/10.3390/rs14112630

الاتاحة: https://doi.org/10.3390/rs14112630

المؤلفون: Xavier Alphonse Inbaraj, Charlyn Villavicencio, Julio Jerison Macrohon, Jyh-Horng Jeng, Jer-Guang Hsieh

المصدر: Electronics; Volume 10; Issue 13; Pages: 1541

مصطلحات موضوعية: Grad-CAM++, GC-MRCNN, Mask R-CNN, object localization, feature maps, object detection

وصف الملف: application/pdf

Relation: Artificial Intelligence; https://dx.doi.org/10.3390/electronics10131541

الاتاحة: https://doi.org/10.3390/electronics10131541

المؤلفون: Liu, Kai, Lu, Ningyun, Wu, Feng, Zhang, Ridong, Gao, Furong

مصطلحات موضوعية: Convolutional neural networks, Data mining, Data models, Deep learning, Fault diagnosis, Feature extraction, Industrial process, Long and short-term memory (LSTM), Multiscale residual convolutional neural network (MRCNN), Support vector machines

Relation: https://repository.hkust.edu.hk/ir/Record/1783.1-118536; IEEE Transactions on Cybernetics, v. 53, (10), October 2023, article number 9794281, p. 6465-6478; https://doi.org/10.1109/TCYB.2022.3176475; 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=2168-2267&rft.volume=&rft.issue=&rft.date=2022&rft.spage=1&rft.aulast=Liu&rft.aufirst=&rft.atitle=Model+Fusion+and+Multiscale+Feature+Learning+for+Fault+Diagnosis+of+Industrial+Processes&rft.title=IEEE+Transactions+on+Cybernetics; http://www.scopus.com/record/display.url?eid=2-s2.0-85132769401&origin=inward; http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001068915800032

الاتاحة: https://repository.hkust.edu.hk/ir/Record/1783.1-118536
https://doi.org/10.1109/TCYB.2022.3176475
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=2168-2267&rft.volume=&rft.issue=&rft.date=2022&rft.spage=1&rft.aulast=Liu&rft.aufirst=&rft.atitle=Model+Fusion+and+Multiscale+Feature+Learning+for+Fault+Diagnosis+of+Industrial+Processes&rft.title=IEEE+Transactions+on+Cybernetics
http://www.scopus.com/record/display.url?eid=2-s2.0-85132769401&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001068915800032

المؤلفون: Comesaña Pereira, Daniel

المساهمون: Díez Díez, Ángela, Ingenieria de Sistemas y Automatica, Escuela de Ingenierias Industrial, Informática y Aeroespacial

مصطلحات موضوعية: Informática, RCNN, IA, MRCNN, 1203.04 Inteligencia Artificial, 3308.02 Residuos Industriales, Ingenierías, Deep learning, 3312.10 Plásticos, 3308.04 Ingeniería de la Contaminación, Ecología. Medio ambiente, Faster RCNN

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______2010::b05799b48eada4506cb579ff64b68423
http://hdl.handle.net/10612/16894

المؤلفون: Comesaña Pereira, Daniel

المساهمون: Díez Díez, Ángela, Ingenieria de Sistemas y Automatica, Escuela de Ingenierias Industrial, Informática y Aeroespacial

مصطلحات موضوعية: Ecología. Medio ambiente, Informática, Ingenierías, IA, Deep learning, MRCNN, Faster RCNN, RCNN, 3308.04 Ingeniería de la Contaminación, 3308.02 Residuos Industriales, 3312.10 Plásticos, 1203.04 Inteligencia Artificial

Relation: Grado en Ingeniería en Electrónica Industrial y Automática; Comesaña Pereira, D. (2022). Sistema de detección de plásticos PET en plantas de reciclaje mediante inteligencia artificial. [Trabajo de fin de Grado, Universidad de León]; http://hdl.handle.net/10612/16894

الاتاحة: http://hdl.handle.net/10612/16894

المؤلفون: Julio Jerison E. Macrohon, Charlyn Villavicencio, Jer-Guang Hsieh, Xavier Alphonse Inbaraj, Jyh-Horng Jeng

المصدر: Electronics, Vol 10, Iss 1541, p 1541 (2021)
Electronics
Volume 10
Issue 13

مصطلحات موضوعية: TK7800-8360, Computer Networks and Communications, Computer science, GC-MRCNN, 0211 other engineering and technologies, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, Convolutional neural network, Convolution, Grad-CAM++, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Segmentation, Computer vision, Electrical and Electronic Engineering, Representation (mathematics), 021101 geological & geomatics engineering, feature maps, business.industry, Cognitive neuroscience of visual object recognition, object detection, Mask R-CNN, Object (computer science), Object detection, Identification (information), Hardware and Architecture, Control and Systems Engineering, Signal Processing, Artificial intelligence, Electronics, business, object localization

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32db5bc870c496f4ac7ea183a7898737
https://www.mdpi.com/2079-9292/10/13/1541

المؤلفون: Hussein, Massod Shallal

المساهمون: Kurnaz Türkben, Ayça, Hussein, Massod Shallal

مصطلحات موضوعية: FCM, MRCNN, ML, DL, Segmentation

Relation: Tez; Hussein, M. S. (2023). Crack detection and classification in oil pipes using MRCNN algorithm. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.; https://hdl.handle.net/20.500.12939/4498

الاتاحة: https://hdl.handle.net/20.500.12939/4498