Digitalization of supply chain management with industry 4.0 enabling technologies: a sustainable perspective

S Chauhan, R Singh, A Gehlot, SV Akram, B Twala… - Processes, 2022 - mdpi.com
Supply chain management is one of the most prominent areas that needs to incorporate
sustainability to achieve responsible consumption and production (SDG 11). It has been …

SwinWave-SR: Multi-scale lightweight underwater image super-resolution

FA Dharejo, II Ganapathi, M Zawish, B Alawode… - Information …, 2024 - Elsevier
The resource-limited nature of underwater vision equipment leads to poor, otherwise low-
resolution information affecting the downstream underwater robotics and ocean engineering …

Energy efficiency maximization in uav-assisted intelligent autonomous transport system for 6g networks with energy harvesting

J Huang, T Yu, X Zhu, F Yang, X Lai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The unmanned aerial vehicle-assisted 6G supported intelligent transportation systems (UAV-
assisted 6G-ITS) have great potential to make transportation systems efficient, smart, and …

[HTML][HTML] Reinforcement learning-based computation offloading in edge computing: Principles, methods, challenges

Z Luo, X Dai - Alexandria Engineering Journal, 2024 - Elsevier
With the rapid development of mobile communication technologies and Internet of Things
(IoT) devices, Multi-Access Edge Computing (MEC) has become one of the most potential …

Edgesl: Edge-computing architecture on smart lighting control with distilled knn for optimum processing time

AG Putrada, M Abdurohman, D Perdana… - IEEE Access, 2023 - ieeexplore.ieee.org
Our previous research applied a novel classification-integrated moving average (CIMA)
method, an intelligence method that improves the performance of passive infrared (PIR) …

Deep reinforcement learning-based resource scheduling for energy optimization and load balancing in SDN-driven edge computing

X Zhou, J Yang, Y Li, S Li, Z Su - Computer Communications, 2024 - Elsevier
Traditional techniques for edge computing resource scheduling may result in large amounts
of wasted server resources and energy consumption; thus, exploring new approaches to …

Review of Predator Emitted Volatile Organic Compounds and Their Potential for Predator Detection in New Zealand Forests

Z Lu, R Whitton, T Strand, Y Chen - Forests, 2024 - mdpi.com
This review covers the volatile organic compounds (VOCs) emitted by the bodies and
secretions of introduced mammalian predators in New Zealand forests, with a specific focus …

A Survey on AI-driven Energy Optimisation in Terrestrial Next Generation Radio Access Networks

K Sthankiya, N Saeed, G McSorley, M Jaber… - IEEE …, 2024 - ieeexplore.ieee.org
This survey uncovers the tension between AI techniques designed for energy saving in
mobile networks and the energy demands those same techniques create. We compare …

[PDF][PDF] The role of AI in sha** Europe's higher education landscape: policy implications and guidelines with a focus on Ireland

M Irfan, L Murray - 2023 - researchrepository.ul.ie
This research investigates the policy considerations for integrating Artificial Intelligence (AI)
across various academic departments at the University of Limerick, encapsulating a …

An intelligent Hybrid‐Q Learning clustering approach and resource management within heterogeneous cluster networks based on reinforcement learning

FR Mughal, J He, N Zhu, M Almutiq… - Transactions on …, 2024 - Wiley Online Library
Recently, heterogeneous cluster networks (HCNs) have been the subject of significant
research. The nature of the next‐generation HCN environment is decentralized and highly …