The situation awareness, especially for collaborative robots, plays a crucial role when
humans and machines work together in a human-centered, dynamic environment. Only …

This research addresses the rapid aging phenomenon prevalent in Asian societies, which
has led to a significant increase in elderly individuals relocating to nursing homes due to …

Predator–prey interactions are a cornerstone of many ecological and evolutionary
processes that influence various levels of biological organization, from individuals to …

This research paper presents a validated emotion enabled cognitive driver assistance
model (EECDAM) as an accident prevention scheme while kee** in mind different types of …

This paper proposes a new inverter control strategy whose main purpose is to reduce the
current harmonic distortion resulting from unnecessary control actions without sacrificing the …

Brain emotional learning-based intelligent controller (BELBIC) is a developed class of model-
free learning controllers (MFC), which has been inspired from the MFC mechanism of …

Brain emotional learning (BEL) methods are a recently developed class of emotional brain-
inspired algorithms, that enjoy feed-forward computational complexity on the order of O (n) …

The present study describes the process employed to identify a suitable intelligent virtual
agent (IVA) for the AMPER App supporting reminiscence therapy for those living with …

Recent breakthroughs on deep learning and computer vision have encouraged the use of
multimodal human activity recognition aiming at applications in human-robot-interaction …

Amongst collisions, rear-end collisions are the deadliest. Several rear-end collision
avoidance solutions have been proposed recently in the literature. A key problem with …