[HTML][HTML] DLJSF: Data-Locality Aware Job Scheduling IoT tasks in fog-cloud computing environments

E Khezri, RO Yahya, H Hassanzadeh, M Mohaidat… - Results in …, 2024 - Elsevier
Problem statement Nowadays, devices generate copious quantities of high-speed data
streams due to Internet of Things (IoT) applications. For the most part, cloud computing …

Artificial neural networks coupled with numerical approach for the stability prediction of non-uniform functionally graded microscale cylindrical structures

Z Liang, Y Zhao, H Yu, M Habibi, T Mahmoudi - Structures, 2024 - Elsevier
Functionally graded materials (FGMs) have garnered significant attention in research due to
their potential for creating innovative materials with diverse applications. This study focuses …

Estimation of soil salinity using satellite-based variables and machine learning methods

W Wang, J Sun - Earth Science Informatics, 2024 - Springer
Soil salinity is one of the significant environmental issues that can reduce crop growth and
productivity, ultimately leading to land degradation. Therefore, accurate monitoring and …

Design and simulation of a new current mirror circuit with low power consumption and high performance and output impedance

Y Li, H Wang, M Trik - Analog Integrated Circuits and Signal Processing, 2024 - Springer
Analog and digital integrated circuit performance has greatly benefited by the shrinking of
semiconductor fabrication technology components. In order to reduce the size of the …

Modified banana peel biochar-based green nanocatalyst for biodiesel production and its utilization to improve diesel engine performance and emission

Y Mao, Y Jiang, X Shao, X Lv, J Ma, S Cen - Process Safety and …, 2024 - Elsevier
This study introduces the integration of catalyst green, waste oil, and ultrasonication
procedure for biodiesel synthesis, thereby addressing existing gaps in the present paper. In …

Link prediction in social networks using hyper-motif representation on hypergraph

CY Meng, H Motevalli - Multimedia Systems, 2024 - Springer
Link prediction, a critical pursuit in complex networks research, revolves around the
predictive understanding of connections between nodes. Our novel approach introduces a …

[HTML][HTML] WSLC: Weighted semi-local centrality to identify influential nodes in complex networks

X Wang, M Othman, DA Dewi, Y Wang - Journal of King Saud University …, 2024 - Elsevier
Identifying and ranking influential nodes in complex networks is a critical aspect to study the
survival and robustness of networks. Many ongoing researches have proposed centrality …

A decision-making mechanism for task offloading using learning automata and deep learning in mobile edge networks

X Tan, DY Zhao, MW Wang, X Wang, XH Wang, WY Liu… - Heliyon, 2024 - cell.com
The development of mobile networks has led to the emergence of challenges such as high
delays in storage, computing and traffic management. To deal with these challenges, fifth …

Investigating the role of nano in preserving the environment with new energy and preventing oil pollution

Y Huang, L Zhang - Advances in nano research, 2023 - koreascience.kr
The escalating growth of industrial sectors has led to a pervasive global problem—oil
pollution, particularly in industrial areas. The release of substantial volumes of oil and its by …

DFRDRL: a dynamic fuzzy routing algorithm based on deep reinforcement learning with guaranteed latency and bandwidth for software-defined networks

Y Wang, M Othman, WO Choo, R Liu, X Wang - Journal of Big Data, 2024 - Springer
Traditional routing algorithms have several limitations that become increasingly significant in
the context of Software-Defined Networking (SDN). Firstly, these algorithms often have …