المؤلفون: Yu Wang, Udaya Suriya Rajkumar Dhamodharan, Nadeem Sarwar, Faris A. Almalki, Qamar H. Naith, Sathiyaraj R, Mohan D

المصدر: Discover Sustainability, Vol 5, Iss 1, Pp 1-16 (2024)

مصطلحات موضوعية: Rice Crop diseases, Deep learning, Deep convolutional generative adversarial network and Residual Neural Network, Environmental sciences, GE1-350

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2662-9984Test

الوصول الحر: https://doaj.org/article/2cf63d2fab7c4fbdb6810bd15a06fca6Test

المؤلفون: Guanghua Yi, Xinhong Hao, Xiaopeng Yan, Jian Dai, Yangtian Liu, Yanwen Han

المصدر: Defence Technology, Vol 33, Iss , Pp 364-373 (2024)

مصطلحات موضوعية: Automatic modulation recognition, Radiation source signals, Two-dimensional data matrix, Residual neural network, Depthwise convolution, Military Science

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S2214914723001885Test; https://doaj.org/toc/2214-9147Test

الوصول الحر: https://doaj.org/article/1e8479ac0e9a4578a4c00fe3bdfe55a4Test

المؤلفون: GAO Nan, HU Ankang, HOU Lixun, CHANG Xin

المصدر: Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 2, Pp 188-200 (2024)

مصطلحات موضوعية: propeller, hydrodynamic performance, residual neural network, inception structure, the improved beetle swarm antennae search algorithm, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989

وصف الملف: electronic resource

العلاقة: https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-2-188.shtmlTest; https://doaj.org/toc/1006-2467Test

الوصول الحر: https://doaj.org/article/e90dc0553bf540bf840011089c7dc5e5Test

المؤلفون: Huigang Xu, Xuyao Qi, Zhongqiu Liang

المصدر: IEEE Access, Vol 12, Pp 75462-75473 (2024)

مصطلحات موضوعية: Residual neural network, shield machine, digging speed, real-time management, surrounding rock type, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/10538281Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/3beb8cc94e864dbbb105a36cbc9428f2Test

المؤلفون: Mei Zhang, Daihao Yin, Zhen Li, Zhong Zhao

المصدر: Remote Sensing, Vol 16, Iss 12, p 2096 (2024)

مصطلحات موضوعية: deep learning, transfer learning, forest classification, multi-source data, residual neural network (ResNet), Science

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2072-4292/16/12/2096Test; https://doaj.org/toc/2072-4292Test

الوصول الحر: https://doaj.org/article/e94796fa78984a16b65ba64aa6cbb298Test

المؤلفون: Kahveci, S., BabaoÄŸlu, Ä°., Kılıç, A.

مصطلحات موضوعية: Image enhancement, Deep residual neural networks, Satellite image enhancement, Super-resolution, Deep neural networks, Generative adversarial networks, Optical resolving power, Remote sensing, Signal to noise ratio, Computational time, Deep residual neural network, Image super resolutions, Neural-networks, Peak signal to noise ratio, Satellite images, Single images, Structural similarity, Superresolution

العلاقة: Neural Computing and Applications; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://doi.org/10.1007/s00521-024-09702-1Test; https://hdl.handle.net/20.500.13091/5626Test; 2-s2.0-85190660777

الإتاحة: https://doi.org/20.500.13091/562610.1007/s00521-024-09702-1Test
https://hdl.handle.net/20.500.13091/5626Test

المؤلفون: Jaman, Golam Gause, Schoen, Marco

المصدر: Technische Mechanik - European Journal of Engineering Mechanics; Bd. 44 Nr. 1 (2024); 47-60 ; Technische Mechanik - European Journal of Engineering Mechanics; Vol. 44 No. 1 (2024); 47-60 ; 2199-9244 ; 0232-3869

مصطلحات موضوعية: Convolutional Neural Network, Feature Engineering, Residual Neural Network, Spatial Feature, Surface Electromyography, Time Series Data

وصف الملف: application/pdf

العلاقة: https://journals.ub.ovgu.de/index.php/techmech/article/view/2191/2193Test; https://journals.ub.ovgu.de/index.php/techmech/article/view/2191Test

الإتاحة: https://doi.org/10.24352/UB.OVGU-2024-053Test
https://journals.ub.ovgu.de/index.php/techmech/article/view/2191Test

المؤلفون: Ryyppö, Rasmus, Häyrynen, Sergei, Joutsijoki, Henry, Juhola, Martti, Seppänen, Mikko

المساهمون: Clinicum, Children's Hospital, Department of Medicine, HUS Children and Adolescents

مصطلحات موضوعية: Deep learning, Inception model, Machine learning, Rare diseases, Residual neural network (ResNet), XGBoost, 3111 Biomedicine

وصف الملف: application/pdf

العلاقة: We would like to thank Business Finland for funding this eCare for Me research project, Helsinki University Hospital for coordination of this project and its collaboration ecosystem CleverHealth Netowork, and Tietoevry Ltd for partnership and providing the technological knowledge and capabilities.; Ryyppö , R , Häyrynen , S , Joutsijoki , H , Juhola , M & Seppänen , M 2024 , ' Comparison of machine learning methods in the early identification of vasculitides, myositides and glomerulonephritides ' , Computer Methods and Programs in Biomedicine , vol. 243 , 107917 . https://doi.org/10.1016/j.cmpb.2023.107917Test; ORCID: /0000-0001-9733-3650/work/151217883; 85176499025; ae323fd4-dee7-4e7e-9067-d35c0b66b42e; http://hdl.handle.net/10138/569794Test; 001111459100001

الإتاحة: http://hdl.handle.net/10138/569794Test

المؤلفون: Ma, Caiyun, Long, Xi, Sheng, Weijie, Vullings, Rik, Yang, Meicheng, Zhao, Lina, Aarts, Ronald M., Li, Jianqing, Liu, Chengyu

المصدر: Ma , C , Long , X , Sheng , W , Vullings , R , Yang , M , Zhao , L , Aarts , R M , Li , J & Liu , C 2024 , ' An atrial fibrillation detection strategy in dynamic ECGs with significant individual differences ' , IEEE Transactions on Instrumentation and Measurement , vol. 73 , 4002010 . https://doi.org/10.1109/TIM.2023.3335526Test

مصطلحات موضوعية: Atrial fibrillation (AF), Biomedical monitoring, Databases, Detectors, Domain-Adversarial Network (DAN), Dynamic ECGs, Electrocardiogram (ECG), Electrocardiography, Monitoring, Recording, Residual Neural Network (ResNet), Rhythm, Shifted Window Transformer (Swin-Transformer), ECG, dynamic electrocardiogram (ECGs)

وصف الملف: application/pdf

العلاقة: https://research.tue.nl/en/publications/eb6b79c7-026a-4080-ac34-dcf8ae1de6e9Test

الإتاحة: https://doi.org/10.1109/TIM.2023.3335526Test
https://research.tue.nl/en/publications/eb6b79c7-026a-4080-ac34-dcf8ae1de6e9Test
https://pure.tue.nl/ws/files/316682466/An_Atrial_Fibrillation_Detection_Strategy_in_Dynamic_ECGs_With_Significant_Individual_Differences.pdfTest
http://www.scopus.com/inward/record.url?scp=85179064595&partnerID=8YFLogxKTest

المؤلفون: Tianyu Fu, Yan Wang, Kai Zhang, Jin Zhang, Shanfeng Wang, Wanxia Huang, Yaling Wang, Chunxia Yao, Chenpeng Zhou, Qingxi Yuan

المصدر: Journal of Synchrotron Radiation, Vol 30, Iss 3, Pp 620-626 (2023)

مصطلحات موضوعية: ring artifact correction, x-ray tomography, deep learning, residual neural network, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798, Crystallography, QD901-999

وصف الملف: electronic resource

العلاقة: http://scripts.iucr.org/cgi-bin/paper?S1600577523000917Test; https://doaj.org/toc/1600-5775Test

الوصول الحر: https://doaj.org/article/b52d43f52bb1442a9fb8e529e165e227Test