[HTML][HTML] AI-based decision support systems in Industry 4.0, A review

M Soori, FKG Jough, R Dastres, B Arezoo - Journal of Economy and …, 2024 - Elsevier
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 …

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 …

Systematic Review: Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms.

D Syed, G Muhammad, S Rizvi - Intelligent Automation & …, 2024 - search.ebscohost.com
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 …

[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 …

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 …

[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 …

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 …

Cloud-edge hybrid deep learning framework for scalable IoT resource optimization

UK Lilhore, S Simaiya, YK Sharma, AK Rai… - Journal of Cloud …, 2025 - Springer
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 …

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 …

Optimising Cloud Computing Performance with an Enhanced Dynamic Load Balancing Algorithm for Superior Task Allocation

R Zhanuzak, MA Ala'Anzy, M Othman, A Algarni - IEEE Access, 2024 - ieeexplore.ieee.org
Cloud computing, particularly within the Infrastructure as a Service (IaaS) model, faces
significant challenges in workload distribution due to limited resource availability and virtual …