Edge computing for industry 5.0: Fundamental, applications and research challenges

M Sharma, A Tomar, A Hazra - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Industry 5.0 is the next stage in industrial evolution, collaborating between human ingenuity
and intelligent technologies to provide manufacturing solutions. Integrating modern …

Mobile robot localization: Current challenges and future prospective

I Ullah, D Adhikari, H Khan, MS Anwar, S Ahmad… - Computer Science …, 2024 - Elsevier
Abstract Mobile Robots (MRs) and their applications are undergoing massive development,
requiring a diversity of autonomous or self-directed robots to fulfill numerous objectives and …

Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm

MH Amiri, N Mehrabi Hash**, M Montazeri… - Scientific Reports, 2024 - nature.com
The novelty of this article lies in introducing a novel stochastic technique named the
Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing inspiration …

[HTML][HTML] The personal health applications of machine learning techniques in the internet of behaviors

Z Amiri, A Heidari, M Darbandi, Y Yazdani… - Sustainability, 2023 - mdpi.com
With the swift pace of the development of artificial intelligence (AI) in diverse spheres, the
medical and healthcare fields are utilizing machine learning (ML) methodologies in …

Optimizing renewable energy systems through artificial intelligence: Review and future prospects

K Ukoba, KO Olatunji, E Adeoye, TC Jen… - Energy & …, 2024 - journals.sagepub.com
The global transition toward sustainable energy sources has prompted a surge in the
integration of renewable energy systems (RES) into existing power grids. To improve the …

AI‐driven adaptive learning for sustainable educational transformation

W Strielkowski, V Grebennikova… - Sustainable …, 2024 - Wiley Online Library
This paper scrutinizes how adaptive learning technologies and artificial intelligence (AI) are
transforming today's education by making it personalized, accessible, and efficient as well …

Optimal energy-efficient resource allocation and fault tolerance scheme for task offloading in IoT-FoG computing networks

B Premalatha, P Prakasam - Computer networks, 2024 - Elsevier
Due to technology development in the recent past, it is observed that an exponential growth
in the usage of high speed intelligent devices which includes smart objects, smart home …

[HTML][HTML] A comprehensive survey of energy-efficient computing to enable sustainable massive IoT networks

MH Alsharif, AH Kelechi, A Jahid… - Alexandria Engineering …, 2024 - Elsevier
Energy efficiency is a key area of research aimed at achieving sustainable and
environmentally friendly networks. With the rise in data traffic and network congestion, IoT …

Meeting the requirements of internet of things: The promise of edge computing

A Hazra, A Kalita, M Gurusamy - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Over the last few decades, Internet of Things (IoT) has become the spotlight area of research
within the Industries and Academics. Primarily, IoT devices are characterized by small and …

Resource allocation in fog–cloud environments: state of the art

M Zolghadri, P Asghari, SE Dashti… - Journal of Network and …, 2024 - Elsevier
The rapid expansion of omnipresent phenomena, exemplified by the Internet of Things (IoT),
necessitates significant consideration of data volume and processing requirements. Cloud …