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1دورية أكاديمية
المؤلفون: Usman Ghous, Muhammad Shahzad Sarfraz, Muhammad Ahmad, Chenyu Li, Danfeng Hong
المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5159-5172 (2024)
مصطلحات موضوعية: (2+1)-D convolutions, deep neural network, depthwise separable convolutions, inception, Xception, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Tirivangani Magadza, Serestina Viriri
المصدر: IEEE Access, Vol 11, Pp 126386-126397 (2023)
مصطلحات موضوعية: Brain tumor segmentation, depthwise-separable convolutions, group convolution, shuffle attention, U-Net, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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3مؤتمر
المؤلفون: Ismail-Fawaz, Ali, Devanne, Maxime, Berretti, Stefano, Weber, Jonathan, Forestier, Germain
المساهمون: Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 (IRIMAS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Università degli Studi di Firenze = University of Florence = Université de Florence (UniFI), ANR-21-CE23-0014,DELEGATION,Apprentissage profond pour la génération de mouvements humains(2021)
المصدر: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)
https://hal.science/hal-04535657Test
2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), Oct 2023, Thessaloniki, France. pp.1-10, ⟨10.1109/dsaa60987.2023.10302569⟩مصطلحات موضوعية: Time Series Classification, Neural Networks, Convolutional Neural Networks, DepthWise Separable Convolutions, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
جغرافية الموضوع: Thessaloniki, France
العلاقة: hal-04535657; https://hal.science/hal-04535657Test; https://hal.science/hal-04535657/documentTest; https://hal.science/hal-04535657/file/dsaa2023.pdfTest
الإتاحة: https://doi.org/10.1109/dsaa60987.2023.10302569Test
https://hal.science/hal-04535657Test
https://hal.science/hal-04535657/documentTest
https://hal.science/hal-04535657/file/dsaa2023.pdfTest -
4دورية أكاديمية
المؤلفون: Qingyan Zhou, Hao Li, Youhua Zhang, Junhong Zheng
المصدر: Future Internet; Volume 15; Issue 1; Pages: 31
مصطلحات موضوعية: product evaluation prediction, Depthwise Separable Convolutions, Bidirectional Long Short-Term Memories, attention mechanism, genetic algorithm
وصف الملف: application/pdf
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5دورية أكاديمية
المؤلفون: Nashwan Adnan Othman, Ilhan Aydin
المصدر: Drones; Volume 7; Issue 3; Pages: 148
مصطلحات موضوعية: unmanned aerial vehicles, human action recognition, deep learning, UCF-ARG dataset, convolutional neural networks, depthwise separable convolutions, unusual human actions, UAV, lightweight CNN model, CNN architectures
وصف الملف: application/pdf
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6دورية أكاديمية
المؤلفون: Muhammad Zubair Asghar, Fahad R. Albogamy, Mabrook S. Al-Rakhami, Junaid Asghar, Mohd Khairil Rahmat, Muhammad Mansoor Alam, Adidah Lajis, Haidawati Mohamad Nasir
المصدر: Frontiers in Public Health, Vol 10 (2022)
مصطلحات موضوعية: facial image classification, Depthwise Separable Convolutions, face mask detection, deep learning, MobileNet, Public aspects of medicine, RA1-1270
وصف الملف: electronic resource
العلاقة: https://www.frontiersin.org/articles/10.3389/fpubh.2022.855254/fullTest; https://doaj.org/toc/2296-2565Test
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7دورية أكاديمية
المؤلفون: Liuyi Ling, Qi Wu, Kaiwen Huang, Yiwen Wang, Chengjun Wang
المصدر: Electronics; Volume 11; Issue 24; Pages: 4110
مصطلحات موضوعية: depthwise separable convolutions, fault diagnosis, lightweight, deep learning, bearing
وصف الملف: application/pdf
العلاقة: Artificial Intelligence; https://dx.doi.org/10.3390/electronics11244110Test
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8دورية أكاديمية
المؤلفون: Shangjun Ma, Wenkai Liu, Wei Cai, Zhaowei Shang, Geng Liu
المصدر: IEEE Access, Vol 7, Pp 57023-57036 (2019)
مصطلحات موضوعية: Residual convolutional neural networks, depthwise separable convolutions, deep learning, fault diagnosis, wavelet packet transform, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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9دورية أكاديمية
المؤلفون: Pius Kwao Gadosey, Yujian Li, Enock Adjei Agyekum, Ting Zhang, Zhaoying Liu, Peter T. Yamak, Firdaous Essaf
المصدر: Diagnostics; Volume 10; Issue 2; Pages: 110
مصطلحات موضوعية: biomedical image segmentation, depthwise separable convolutions, group normalization, weight standardization, computer vision
وصف الملف: application/pdf
العلاقة: Machine Learning and Artificial Intelligence in Diagnostics; https://dx.doi.org/10.3390/diagnostics10020110Test
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10
المؤلفون: Geng Liu, Cai Wei, Zhaowei Shang, Shangjun Ma, Wenkai Liu
المصدر: IEEE Access, Vol 7, Pp 57023-57036 (2019)
مصطلحات موضوعية: Residual convolutional neural networks, wavelet packet transform, General Computer Science, Computer science, 02 engineering and technology, Residual, Fault (power engineering), Convolutional neural network, law.invention, Convolution, Wavelet, law, 0202 electrical engineering, electronic engineering, information engineering, depthwise separable convolutions, General Materials Science, Bearing (mechanical), business.industry, Deep learning, 020208 electrical & electronic engineering, General Engineering, deep learning, Rectifier (neural networks), fault diagnosis, Frequency domain, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, Algorithm, lcsh:TK1-9971
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adb4283aff7ae48d4b63c3f8298d5d4bTest
https://ieeexplore.ieee.org/document/8693794Test/
النص الكامل