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1دورية أكاديمية
المؤلفون: Shasha Xie, Wenhua Qian, Rencan Nie, Dan Xu, Jinde Cao
المصدر: IET Image Processing, Vol 17, Iss 5, Pp 1603-1614 (2023)
مصطلحات موضوعية: attention mechanism, generative adversarial networks, graph convolutional networks, non‐homogeneous texture synthesis, Photography, TR1-1050, Computer software, QA76.75-76.765
وصف الملف: electronic resource
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2دورية أكاديمية
مصطلحات موضوعية: Hand gesture recognition, American Sign Language, Deep Learning, Capsule Networks, Convolutional Networks, Teoría de la Señal y las Comunicaciones, 33 Ciencias Tecnológicas
وصف الملف: application/pdf
العلاقة: Extracción automática de características del nervio óptico de ambos ojos mediante procesado de imagen y reconocimiento; Diagnóstico precoz del glaucoma a partir de retinografías mediante técnicas emergentes de Deep Learning; PI17/00771; 20901/PI/18; Bousbai, K., Morales-Sánchez, J., Merah, M., & Sancho-Gómez, J.-L. (2022). Improving hand gestures recognition capabilities by ensembling convolutional networks. Expert Systems, 39(5), e12937. https://doi.org/10.1111/exsy.12937Test; http://hdl.handle.net/10317/13011Test
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3دورية أكاديمية
المؤلفون: Daemi, Sohrab R, Tan, Chun, Tranter, Thomas G, Heenan, Thomas MM, Wade, Aaron, Salinas-Farran, Luis, Llewellyn, Alice V, Lu, Xuekun, Matruglio, Alessia, Brett, Daniel JL, Jervis, Rhodri, Shearing, Paul R
المصدر: Small Methods , Article e2200887. (2022) (In press).
مصطلحات موضوعية: computer vision, convolutional networks, lithium-ion batteries, mask R-CNN, nano X-ray tomography
وصف الملف: application/pdf
العلاقة: https://discovery.ucl.ac.uk/id/eprint/10155966/1/Small%20Methods%20-%202022%20-%20Daemi%20-%20Computer%25E2%2580%2590Vision%25E2%2580%2590Based%20Approach%20to%20Classify%20and%20Quantify%20Flaws%20in%20Li%25E2%2580%2590Ion%20Electrodes.pdfTest; https://discovery.ucl.ac.uk/id/eprint/10155966Test/
الإتاحة: https://discovery.ucl.ac.uk/id/eprint/10155966/1/Small%20Methods%20-%202022%20-%20Daemi%20-%20Computer%25E2%2580%2590Vision%25E2%2580%2590Based%20Approach%20to%20Classify%20and%20Quantify%20Flaws%20in%20Li%25E2%2580%2590Ion%20Electrodes.pdfTest
https://discovery.ucl.ac.uk/id/eprint/10155966Test/ -
4دورية أكاديمية
المؤلفون: Qingtian Wu, Yimin Zhou, Xinyu Wu, Guoyuan Liang, Yongsheng Ou, Tianfu Sun
المصدر: IET Intelligent Transport Systems, Vol 14, Iss 5, Pp 278-287 (2020)
مصطلحات موضوعية: optical flow, deep convolutional networks, human detection system, unmanned aerial vehicle, deep convolution networks, 81.1% detection accuracy, Transportation engineering, TA1001-1280, Electronic computers. Computer science, QA75.5-76.95
وصف الملف: electronic resource
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5دورية أكاديمية
المؤلفون: Stefan Schneider, Saul Greenberg, Graham W. Taylor, Stefan C. Kremer
المصدر: Ecology and Evolution, Vol 10, Iss 7, Pp 3503-3517 (2020)
مصطلحات موضوعية: camera traps, computer vision, convolutional networks, deep learning, density estimation, monitoring, Ecology, QH540-549.5
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2045-7758Test
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6دورية أكاديمية
المؤلفون: Qishuo Lu, Zhuqing Jiang, Aidong Men, Pengliang Tang
المصدر: IET Computer Vision, Vol 13, Iss 6, Pp 562-568 (2019)
مصطلحات موضوعية: receptive field size, convolutional filter, named adaptive convolution, convolutional neural networks, adaptive convolutional networks, deep convolutional network, Computer applications to medicine. Medical informatics, R858-859.7, Computer software, QA76.75-76.765
وصف الملف: electronic resource
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7دورية أكاديمية
المؤلفون: Zenghui Zhang, Weiwei Guo, Wenhao Yu, Wenxian Yu
المصدر: The Journal of Engineering (2019)
مصطلحات موضوعية: radar imaging, image classification, image segmentation, synthetic aperture radar, branched sub-task, entire networks, main network, related sub-task, particular buildings targets, multitask fully convolutional networks, building segmentation, sar image, optical image semantic segmentation, similar performance gain, synthetic aperture radar image, missing alarm rate, building targets, multitask fcn, original fcn, Engineering (General). Civil engineering (General), TA1-2040
وصف الملف: electronic resource
العلاقة: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0569Test; https://doaj.org/toc/2051-3305Test
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8دورية أكاديمية
المؤلفون: Sheng Yu, Yun Cheng, Li Xie, Shao‐Zi Li
المصدر: IET Computer Vision, Vol 11, Iss 8, Pp 744-749 (2017)
مصطلحات موضوعية: human action recognition, computer vision, convolutional neural networks, CNN, image recognition tasks, two-stream fully convolutional networks architecture, Computer applications to medicine. Medical informatics, R858-859.7, Computer software, QA76.75-76.765
وصف الملف: electronic resource
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9دورية أكاديمية
المؤلفون: Beier Zhu, Haozong Wang, Shenxing Shi, Xinzhou Dong
المصدر: The Journal of Engineering (2019)
مصطلحات موضوعية: fault diagnosis, feature extraction, learning (artificial intelligence), HVDC power convertors, fault location, HVDC power transmission, power transmission faults, power transmission lines, convolution, feedforward neural nets, power engineering computing, regression analysis, AC transmission lines, ConvNets, power transmission capacity, fault location network, fault-type information, MMC-HVDC transmission system, fault conditions, convolutional networks, modular multilevel converter–high-voltage DC system, linear regression, automatic learning, Engineering (General). Civil engineering (General), TA1-2040
وصف الملف: electronic resource
العلاقة: https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8706Test; https://doaj.org/toc/2051-3305Test
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10دورية أكاديمية
المؤلفون: Runwei Ding, Linhui Dai, Guangpeng Li, Hong Liu
المصدر: CAAI Transactions on Intelligence Technology (2019)
مصطلحات موضوعية: neural nets, quality control, production engineering computing, data mining, printed circuits, learning (artificial intelligence), computer vision, pattern clustering, feature extraction, TDD-Net strengthens, PCB defect dataset show, tiny defect detection network, printed circuit boards, PCB defect detection, complex PCBs, diverse PCBs, deep convolutional networks, Computational linguistics. Natural language processing, P98-98.5, Computer software, QA76.75-76.765
وصف الملف: electronic resource
العلاقة: https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0019Test; https://doaj.org/toc/2468-2322Test