Digitalization of supply chain management with industry 4.0 enabling technologies: a sustainable perspective
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 …
sustainability to achieve responsible consumption and production (SDG 11). It has been …
SwinWave-SR: Multi-scale lightweight underwater image super-resolution
The resource-limited nature of underwater vision equipment leads to poor, otherwise low-
resolution information affecting the downstream underwater robotics and ocean engineering …
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 …
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 …
(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
Our previous research applied a novel classification-integrated moving average (CIMA)
method, an intelligence method that improves the performance of passive infrared (PIR) …
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
Traditional techniques for edge computing resource scheduling may result in large amounts
of wasted server resources and energy consumption; thus, exploring new approaches to …
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 …
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
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 …
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
This research investigates the policy considerations for integrating Artificial Intelligence (AI)
across various academic departments at the University of Limerick, encapsulating a …
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
Recently, heterogeneous cluster networks (HCNs) have been the subject of significant
research. The nature of the next‐generation HCN environment is decentralized and highly …
research. The nature of the next‐generation HCN environment is decentralized and highly …