Highlights•Machine learning techniques (MLTs) are progressing the drug discovery
process.•Conventional MLTs require large data, lack transparency and are not …

Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …

Ensuring the confidentiality of private data stored in our technological devices is a
fundamental aspect for protecting our personal and professional information. Authentication …

Nowadays, wearable technology can enhance physical human life-log routines by shifting
goals from merely counting steps to tackling significant healthcare challenges. Such …

Security has always been the main concern for the internet of things (IoT)-based systems.
Blockchain, with its decentralized and distributed design, prevents the risks of the existing …

The unprecedented urban growth of recent years requires improved urban planning and
management to make urban spaces more inclusive, safe, resilient and sustainable …

A bipedal walking robot is a kind of humanoid robot. It mimics human behavior and is
devised to perform human-specific tasks. Currently, humanoid robots are not capable to …

This letter presents a novel framework for continuous user authentication of mobile devices
based on gait analysis, exploiting inertial sensors and Recurrent Neural Network for deep …

Continuous Authentication (CA) approaches are attracting attention due to the explosion of
available sensors from IoT devices such as smartphones. However, a critical privacy …

Throughout the past several decades, mobile devices have evolved in capability and
popularity at growing rates while improvement in security has fallen behind. As smartphones …