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Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator.

, , , , и . ISDA (1), том 940 из Advances in Intelligent Systems and Computing, стр. 509-517. Springer, (2018)

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Nina Al-Shamma-Gerber

Heyder Omran

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Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator., , , , и . ISDA (1), том 940 из Advances in Intelligent Systems and Computing, стр. 509-517. Springer, (2018)Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood., , , и . ISDA (1), том 940 из Advances in Intelligent Systems and Computing, стр. 560-570. Springer, (2018)Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture., , , , , и . DeSE, стр. 268-273. IEEE, (2019)Real-Time PCG Diagnosis Using FPGA., , , , и . ISDA (1), том 940 из Advances in Intelligent Systems and Computing, стр. 518-529. Springer, (2018)Hardware Accelerator for Real-Time Holographic Projector., , и . ISDA, том 1181 из Advances in Intelligent Systems and Computing, стр. 132-139. Springer, (2019)A Deep Convolutional Neural Network Model for Multi-class Fruits Classification., , , , и . ISDA, том 1181 из Advances in Intelligent Systems and Computing, стр. 90-99. Springer, (2019)Diagnosing Coronavirus (COVID-19) Using Various Deep Learning Models: A Comparative Study., , , , и . ISDA, том 1351 из Advances in Intelligent Systems and Computing, стр. 1188-1197. Springer, (2020)Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study., , , , , , , , и . PeerJ Comput. Sci., (2021)Employment of Multi-classifier and Multi-domain Features for PCG Recognition., , , , , и . DeSE, стр. 321-325. IEEE, (2019)Solving Lorenz ODE System Based Hardware Booster., , , и . ISDA, том 1181 из Advances in Intelligent Systems and Computing, стр. 245-254. Springer, (2019)