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

Relation: https://ieeexplore.ieee.org/document/10423094/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/fe1401f5da464a50928427408aa5d72e

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

Relation: https://ieeexplore.ieee.org/document/10309848/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/526b4c3924024836922d4626e3d0b254

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-04535657
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

Relation: hal-04535657; https://hal.science/hal-04535657; https://hal.science/hal-04535657/document; https://hal.science/hal-04535657/file/dsaa2023.pdf

الاتاحة: https://hal.science/hal-04535657
https://hal.science/hal-04535657/document
https://hal.science/hal-04535657/file/dsaa2023.pdf
https://doi.org/10.1109/dsaa60987.2023.10302569

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

Relation: https://dx.doi.org/10.3390/fi15010031

الاتاحة: https://doi.org/10.3390/fi15010031

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

Relation: https://dx.doi.org/10.3390/drones7030148

الاتاحة: https://doi.org/10.3390/drones7030148

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

Relation: https://www.frontiersin.org/articles/10.3389/fpubh.2022.855254/full; https://doaj.org/toc/2296-2565

URL الوصول: https://doaj.org/article/0618ae1b2da0449a81009bf9e617088a

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

Relation: Artificial Intelligence; https://dx.doi.org/10.3390/electronics11244110

الاتاحة: https://doi.org/10.3390/electronics11244110

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

Relation: https://ieeexplore.ieee.org/document/8693794/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/5f40a953c5d34318aaf55c88cb3b19bd

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

Relation: Machine Learning and Artificial Intelligence in Diagnostics; https://dx.doi.org/10.3390/diagnostics10020110

الاتاحة: https://doi.org/10.3390/diagnostics10020110

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

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adb4283aff7ae48d4b63c3f8298d5d4b
https://ieeexplore.ieee.org/document/8693794/

المؤلفون: Sinha, Debjyoti, El-Sharkawy, Mohamed

المساهمون: Electrical and Computer Engineering, School of Engineering and Technology

المصدر: Author

مصطلحات موضوعية: convolutional neural networks, MobileNet, depthwise separable convolutions

وصف الملف: application/pdf

Relation: 2019 IEEE 10th Annual Ubiquitous Computing, Electronics Mobile Communication Conference (UEMCON); Sinha, D., & El-Sharkawy, M. (2019). Thin MobileNet: An Enhanced MobileNet Architecture. 2019 IEEE 10th Annual Ubiquitous Computing, Electronics Mobile Communication Conference (UEMCON), 0280–0285. https://doi.org/10.1109/UEMCON47517.2019.8993089; https://hdl.handle.net/1805/25290

الاتاحة: https://hdl.handle.net/1805/25290

المؤلفون: Xin-Yu Lu, Chen-Yue Wang, Hui Tang, Yi-Fei Qin, Li Cui, Xiang Wang, Guo-Kun Liu, Bin Ren

مصطلحات موضوعية: Genetics, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, residual neural network, facilitate vibrational spectroscopy, derived extracellular vesicles, depthwise separable convolutions, different physiological states, based convolutional encoder, extracting spectral features, subtle differences offered, including infrared absorption, appropriate patch size, local spectral features, pace helped improve, deep learning algorithm, spectral classification balancing, based algorithms, balancing local, spectral classification, temporal resolutions, surface science, still far, simultaneously extract, recent development, raman scattering, raman identification

Relation: https://figshare.com/articles/journal_contribution/Patch-Based_Convolutional_Encoder_A_Deep_Learning_Algorithm_for_Spectral_Classification_Balancing_the_Local_and_Global_Information/25180232

الاتاحة: https://doi.org/10.1021/acs.analchem.3c03889.s001
https://figshare.com/articles/journal_contribution/Patch-Based_Convolutional_Encoder_A_Deep_Learning_Algorithm_for_Spectral_Classification_Balancing_the_Local_and_Global_Information/25180232