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Edge computing for industry 5.0: Fundamental, applications and research challenges
Industry 5.0 is the next stage in industrial evolution, collaborating between human ingenuity
and intelligent technologies to provide manufacturing solutions. Integrating modern …
and intelligent technologies to provide manufacturing solutions. Integrating modern …
Mobile robot localization: Current challenges and future prospective
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 …
requiring a diversity of autonomous or self-directed robots to fulfill numerous objectives and …
Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm
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 …
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
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 …
medical and healthcare fields are utilizing machine learning (ML) methodologies in …
Optimizing renewable energy systems through artificial intelligence: Review and future prospects
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 …
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 …
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 …
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
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 …
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
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 …
within the Industries and Academics. Primarily, IoT devices are characterized by small and …
Resource allocation in fog–cloud environments: state of the art
The rapid expansion of omnipresent phenomena, exemplified by the Internet of Things (IoT),
necessitates significant consideration of data volume and processing requirements. Cloud …
necessitates significant consideration of data volume and processing requirements. Cloud …