This review aims to assess the most prevalent disruptive technologies of the past decade
and evaluate them from a dual perspective. This study utilises the technology life cycle …

Biomedical applications often require classifiers that are both accurate and cheap to
implement. Today, deep neural networks achieve the state-of-the-art accuracy in most …

Embedded devices are generally small, battery-powered computers with limited hardware
resources. It is difficult to run deep neural networks (DNNs) on these devices, because …

Cost-efficient machine learning is essential for on-chip processing of data in resource-
limited applications such as brain implants, wearable sensors, and IoT devices. In this …

Medical devices play a critical role in improving the quality of life for patients and assisting
physicians by monitoring, detecting, and helping manage chronic conditions such as …

Hardware-efficient classification is essential for applications such as medical implants,
wearables, and IoT devices, with severe energy and resources constraints. Here, we …

Chronic stress makes a person vulnerable to diseases leading to the evolution of various
physical and mental health conditions including chronic fatigue, diabetes, obesity …

A Complete Bibliography of ACM Transactions on Design Automation of Electronic Systems
Page 1 A Complete Bibliography of ACM Transactions on Design Automation of Electronic …