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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  
SpikoPoniC: A Low-Cost Spiking Neuromorphic Computer for Smart Aquaponics Journal article
Siddique, Ali, Sun, Jingqi, Hou, Kung Jui, Vai, Mang I., Pun, Sio Hang, Iqbal, Muhammad Azhar. SpikoPoniC: A Low-Cost Spiking Neuromorphic Computer for Smart Aquaponics[J]. Agriculture (Switzerland), 2023, 13(11).
Authors:  Siddique, Ali;  Sun, Jingqi;  Hou, Kung Jui;  Vai, Mang I.;  Pun, Sio Hang; et al.
Favorite | TC[WOS]:3 TC[Scopus]:5 | Submit date：2024/01/10
Artificial Intelligence  Deep Learning  Digital Agriculture  Internet Of Things (Iot)  Neuromorphic Chips  On-chip Learning  Precision Agriculture  Smart Aquaponics  Smart Farming  Spiking Neural Networks  
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  
A high-performance, hardware-based deep learning system for disease diagnosis Journal article
Siddique, Ali, Iqbal, Muhammad Azhar, Aleem, Muhammad, Lin, Jerry Chun Wei. A high-performance, hardware-based deep learning system for disease diagnosis[J]. PeerJ Computer Science, 2022, 8, 17.
Authors:  Siddique, Ali;  Iqbal, Muhammad Azhar;  Aleem, Muhammad;  Lin, Jerry Chun Wei
Favorite | TC[Scopus]:2  IF:3.5/3.4 | Submit date：2023/01/30
Activation Function  Cancer Diagnosis  Deep Learning  Field Programmable Gate Array  Hardware Friendly  Neural Networks  Swish