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N-AquaRAM: A Cost-Efficient Deep Learning Accelerator for Real-Time Aquaponic Monitoring Journal article
Siddique, Ali, Iqbal, Muhammad Azhar, Sun, Jingqi, Zhang, Xu, Vai, Mang I., Siddique, Sunbal. N-AquaRAM: A Cost-Efficient Deep Learning Accelerator for Real-Time Aquaponic Monitoring[J]. Agricultural Research, 2024.
Authors:  Siddique, Ali;  Iqbal, Muhammad Azhar;  Sun, Jingqi;  Zhang, Xu;  Vai, Mang I.; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.4/1.5 | Submit date：2024/10/10
Aquaculture  Deep Learning Accelerator  Field Programmable Gate Arrays (Fpgas)  Fish Size Estimation  Giga OPerations Per Second (Gops)  Smart Aquaponics  
A 218 GOPS neural network accelerator based on a novel cost-efficient surrogate gradient scheme for pattern classification Journal article
Siddique, Ali, Iqbal, Muhammad Azhar, Aleem, Muhammad, Islam, Muhammad Arshad. A 218 GOPS neural network accelerator based on a novel cost-efficient surrogate gradient scheme for pattern classification[J]. Microprocessors and Microsystems, 2023, 99, 104831.
Authors:  Siddique, Ali;  Iqbal, Muhammad Azhar;  Aleem, Muhammad;  Islam, Muhammad Arshad
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:1.9/2.0 | Submit date：2023/07/20
Activation Function  Artificial Neural Networks (Anns)  Deep Learning (Dl)  Dying Relu  Field Programmable Gate Arrays (Fpgas)  Giga OPerations Per Second (Gops)  Surrogate Gradient