المؤلفون: Xiaolian LIU, Shaopeng Gong, Xiangxu Hua, Taotao Chen, Chunjiang Zhao

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

مصطلحات موضوعية: Lightweight model, YOLO v5n, Knowledge Distillation, Model Pruning, Medicine, Science

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2045-2322Test

الوصول الحر: https://doaj.org/article/b8c25f3c145247ac9fdaa86e32630589Test

المؤلفون: Junjie Chen, Siqi Pan, Yanping Chan, Yuedong Ni, Donghua Ye

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)

مصطلحات موضوعية: Defect detection, Substation, YOLOv5, Multiscale data augmentation, Model pruning, Medicine, Science

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2045-2322Test

الوصول الحر: https://doaj.org/article/454a82b0b30b4fac880195008fbdd59fTest

المؤلفون: Jie Kang, Ning Li

المصدر: IEEE Access, Vol 12, Pp 85134-85149 (2024)

مصطلحات موضوعية: Cervical cancer, deep learning, knowledge distillation, model pruning, computational efficiency, swin-transformer, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/10559585Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/302bad9dba8046cb9d90a012ef4c8499Test

المؤلفون: Muhammad Rizqi Sholahuddin, Maisevli Harika, Iwan Awaludin, Yunita Citra Dewi, Fachri Dhia Fauzan, Bima Putra Sudimulya, Vandha Pradiyasma Widarta

المصدر: JOIN: Jurnal Online Informatika, Vol 8, Iss 2, Pp 261-270 (2023)

مصطلحات موضوعية: yolov8, cctv surveillance, model pruning, face detection, streamlit, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

العلاقة: https://join.if.uinsgd.ac.id/index.php/join/article/view/1196Test; https://doaj.org/toc/2528-1682Test; https://doaj.org/toc/2527-9165Test

الوصول الحر: https://doaj.org/article/d7b25d31e6cd4908922e6d32e4dcc7d7Test

المؤلفون: Qiong Ran, Mengwei Li, Boya Zhao, Zhipeng He, Yuanfeng Wu

المصدر: Remote Sensing, Vol 16, Iss 11, p 2026 (2024)

مصطلحات موضوعية: remote sensing imagery, target detection, model pruning, sparse regularization, Science

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2072-4292/16/11/2026Test; https://doaj.org/toc/2072-4292Test

الوصول الحر: https://doaj.org/article/fc8c25894acc4773a75726dea6a59f58Test

المؤلفون: Kang An, Huiping Duanmu, Zhiyang Wu, Yuqiang Liu, Jingzhen Qiao, Qianqian Shangguan, Yaqing Song, Xiaonong Xu

المصدر: Aerospace, Vol 11, Iss 5, p 392 (2024)

مصطلحات موضوعية: small target detection, model pruning, feature extraction, fine-grained information, Motor vehicles. Aeronautics. Astronautics, TL1-4050

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2226-4310/11/5/392Test; https://doaj.org/toc/2226-4310Test

الوصول الحر: https://doaj.org/article/d7d156521b904e1aa42e2608075053e6Test

المؤلفون: Eccles, Bailey J., Rodgers, Philip, Kilpatrick, Peter, Spence, Ivor, Varghese, Blesson

المصدر: Eccles , B J , Rodgers , P , Kilpatrick , P , Spence , I & Varghese , B 2024 , ' DNNShifter : an efficient DNN pruning system for edge computing ' , Future Generation Computer Systems , vol. 152 , pp. 43-54 . https://doi.org/10.48550/arXiv.2309.06973Test , https://doi.org/10.1016/j.future.2023.09.025Test

مصطلحات موضوعية: Deep neural networks, Machine learning, Internet of things, Edge computing, Model compression, Model pruning

وصف الملف: application/pdf

العلاقة: https://research-portal.st-andrews.ac.uk/en/researchoutput/dnnshifterTest(918adda9-15d0-438a-92ce-8022d06a4498).html

الإتاحة: https://doi.org/10.48550/arXiv.2309.06973Test
https://research-portal.st-andrews.ac.uk/en/researchoutput/dnnshifterTest(918adda9-15d0-438a-92ce-8022d06a4498).html
https://research-repository.st-andrews.ac.uk/bitstream/10023/28595/1/Eccles_2023_DNNShifter_FGCS_152_43_CCBY.pdfTest

المؤلفون: Tingting Wu, Chunhe Song, Peng Zeng

المصدر: Complex & Intelligent Systems, Vol 9, Iss 6, Pp 6999-7013 (2023)

مصطلحات موضوعية: Federated learning, Model pruning, Communication efficient, Edge intelligence, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2199-4536Test; https://doaj.org/toc/2198-6053Test

الوصول الحر: https://doaj.org/article/072d9d1c6c4042f8b0b85f8f8243e905Test

المؤلفون: Rózemberczki, Benedek

المساهمون: Sarkar, Rik, Sun, He

مصطلحات موضوعية: node embedding, graph embedding, model pruning, ensemble learning

الوصول الحر: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.841902Test

المؤلفون: Matej Vitek, Matic Bizjak, Peter Peer, Vitomir Štruc

المصدر: Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101630- (2023)

مصطلحات موضوعية: Biometrics, Sclera segmentation, Ocular biometrics, Ocular segmentation, Model pruning, Lightweight deep learning, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S1319157823001842Test; https://doaj.org/toc/1319-1578Test

الوصول الحر: https://doaj.org/article/5da476b347a14de58acf3b56db6dc80fTest