With the rise in electricity, gas and oil prices and the persistently high levels of carbon
emissions, there is an increasing demand for effective energy management in energy …

The efficient control of HVAC devices in building structures is mandatory for achieving
energy savings and comfort. To balance these objectives efficiently, it is essential to …

Metarobotics aims to combine next generation wireless communication, multisense
immersion, and collective intelligence to provide a pervasive, itinerant, and noninvasive …

Taiwan has a rapidly increasing aging population with a considerably high life expectancy
rate, which poses challenges for healthcare and medical systems. This study examines …

Timely detection of dynamic and static obstacles and accurate identification of signal lights
using image processing techniques is one of the key technologies for guidance robots and …

Distributed Machine learning has delivered considerable advances in training neural
networks by leveraging parallel processing, scalability, and fault tolerance to accelerate the …

The challenge of maintaining optimal comfort in residents while minimizing energy
consumption has long been a focal point for researchers and practitioners. As technology …

This study presents a novel solution for ambient assisted living (AAL) applications that
utilizes spiking neural networks (SNNs) and reconfigurable neuromorphic processors. As …

The current paper proposes a hierarchical reinforcement learning (HRL) method to
decompose a complex task into simpler sub-tasks and leverage those to improve the …

Autonomous and accurate navigation is a prerequisite for any intelligent system assigned to
various missions. Yet, this task presents a higher complexity when a mobile robot navigates …