2 papers
cs.LG2021
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators
Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque
Systolic array-based deep neural network (DNN) accelerators have recently gained prominence for their low computational cost. However, their high energy consumption poses a bottlen…
eess.SP2018
ApproxCS: Near-Sensor Approximate Compressed Sensing for IoT-Healthcare Systems
Ayesha Siddique, Osman Hasan, Faiq Khalid +1
Internet of Things (IoTs) is an emerging trend that has enabled an upgrade in the design of wearable healthcare monitoring systems through the (integrated) edge, fog, and cloud com…