[HTML][HTML] AI-based decision support systems in Industry 4.0, A review
The development of modern technologies such as the Internet of Things (IoT), cloud
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
Research on hybrid strategy Particle Swarm Optimization algorithm and its applications
J Yao, X Luo, F Li, J Li, J Dou, H Luo - Scientific Reports, 2024 - nature.com
The increasing complexity and high-dimensional nature of real-world optimization problems
necessitate the development of advanced optimization algorithms. Traditional Particle …
necessitate the development of advanced optimization algorithms. Traditional Particle …
Systematic Review: Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms.
Cloud Computing has the ability to provide on-demand access to a shared resource pool. It
has completely changed the way businesses are managed, implement applications, and …
has completely changed the way businesses are managed, implement applications, and …
[HTML][HTML] Edge-cloud synergy for AI-enhanced sensor network data: A real-time predictive maintenance framework
K Sathupadi, S Achar, SV Bhaskaran, N Faruqui… - Sensors, 2024 - mdpi.com
Sensor networks generate vast amounts of data in real-time, which challenges existing
predictive maintenance frameworks due to high latency, energy consumption, and …
predictive maintenance frameworks due to high latency, energy consumption, and …
Towards load frequency management in thermal power systems using an improved open-source development model algorithm
E Khezri, A Rezaeipanah, H Hassanzadeh… - Evolutionary …, 2025 - Springer
Maintaining a balance between generated and consumed power is crucial for the efficient
operation of interconnected power grids. This paper focuses on the issue of load frequency …
operation of interconnected power grids. This paper focuses on the issue of load frequency …
[HTML][HTML] Task scheduling and load balancing in SDN-based cloud computing: A review of relevant research
M Mahdizadeh, A Montazerolghaem… - Journal of Engineering …, 2024 - Elsevier
This article presents a comprehensive exploration of the architecture and various
approaches in the domain of cloud computing and software-defined networks. The salient …
approaches in the domain of cloud computing and software-defined networks. The salient …
Rock Layer Classification and Identification in Ground-Penetrating Radar via Machine Learning
H Xu, J Yan, G Feng, Z Jia, P **g - Remote Sensing, 2024 - mdpi.com
Ground-penetrating radar (GPR) faces complex challenges in identifying underground rock
formations and lithological structures. The diversity, intricate shapes, and electromagnetic …
formations and lithological structures. The diversity, intricate shapes, and electromagnetic …
Cloud-edge hybrid deep learning framework for scalable IoT resource optimization
In the dynamic environment of the Internet of Things (IoT), edge and cloud computing play
critical roles in analysing and storing data from numerous connected devices to produce …
critical roles in analysing and storing data from numerous connected devices to produce …
Promoting sustainable usage behavior in the sharing economy business model: A study based on bike-sharing
L Gao, J Wang, X Wu - Research in Transportation Business & …, 2024 - Elsevier
Exiting research has noted the significance of sharing economy business model, while
insufficient attention has been paid to understand the user's sustainable usage behavior in …
insufficient attention has been paid to understand the user's sustainable usage behavior in …
Optimising Cloud Computing Performance with an Enhanced Dynamic Load Balancing Algorithm for Superior Task Allocation
Cloud computing, particularly within the Infrastructure as a Service (IaaS) model, faces
significant challenges in workload distribution due to limited resource availability and virtual …
significant challenges in workload distribution due to limited resource availability and virtual …