Abstract: This paper introduces a novel approach for enhancing haptic feedback performance in a mobile robot (MR) controller. The system measures the MR's surroundings using a LiDAR sensor. It ...

Pradhan and Basab Chakraborty, has developed a grey wolf optimisation (GWO)-based hybrid regression model that significantly improves state-of-health (SOH) estimation for bipolar lead-acid batteries.

​For much of the past decade, post-quantum cryptography (PQC) lived primarily in academic journals and standards committees.

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to ...

To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

ABSTRACT: Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often ...

Abstract: The growing prevalence of malware poses a significant threat to cybersecurity, necessitating the development of efficient and accurate detection methods. This study proposes a lightweight ...