Author of the publication

Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator.

, , , , and . ISDA (1), volume 940 of Advances in Intelligent Systems and Computing, page 509-517. Springer, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Hardware Accelerator for Real-Time Holographic Projector., , and . ISDA, volume 1181 of Advances in Intelligent Systems and Computing, page 132-139. Springer, (2019)Diagnosing Coronavirus (COVID-19) Using Various Deep Learning Models: A Comparative Study., , , , and . ISDA, volume 1351 of Advances in Intelligent Systems and Computing, page 1188-1197. Springer, (2020)A Deep Convolutional Neural Network Model for Multi-class Fruits Classification., , , , and . ISDA, volume 1181 of Advances in Intelligent Systems and Computing, page 90-99. Springer, (2019)Review of deep learning: concepts, CNN architectures, challenges, applications, future directions., , , , , , , , , and . J. Big Data, 8 (1): 53 (2021)Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture., , , , , and . DeSE, page 268-273. IEEE, (2019)Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator., , , , and . ISDA (1), volume 940 of Advances in Intelligent Systems and Computing, page 509-517. Springer, (2018)Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood., , , and . ISDA (1), volume 940 of Advances in Intelligent Systems and Computing, page 560-570. Springer, (2018)Real-Time PCG Diagnosis Using FPGA., , , , and . ISDA (1), volume 940 of Advances in Intelligent Systems and Computing, page 518-529. Springer, (2018)Robust application of new deep learning tools: an experimental study in medical imaging., , , , , and . Multim. Tools Appl., 81 (10): 13289-13317 (2022)Classification of Red Blood Cells in Sickle Cell Anemia Using Deep Convolutional Neural Network., , , , and . ISDA (1), volume 940 of Advances in Intelligent Systems and Computing, page 550-559. Springer, (2018)