Improvement of intrusion detection system in industrial Internet of Things based on deep learning with fog computing capability DOI
W. Li,

Nazila Mohammadnezhad

Electronic Commerce Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 3, 2024

Language: Английский

A new approach to reduce energy consumption in priority live migration of services based on green cloud computing DOI
Gang Wang, Bin Wen, Jianhua He

et al.

Cluster Computing, Journal Year: 2025, Volume and Issue: 28(3)

Published: Jan. 22, 2025

Language: Английский

Citations

1
The use of machine learning algorithms to determine the rate of material deformation: a new approach DOI
Feng Li, Ying Chen, Ruobing Li

et al.

International Journal on Interactive Design and Manufacturing (IJIDeM), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

Language: Английский

Citations

0
Golden jackal optimization algorithm with a population quality improvement framework for real-world engineering optimization problems DOI
Rui Xue, Kefeng Deng

Evolutionary Intelligence, Journal Year: 2025, Volume and Issue: 18(3)

Published: April 6, 2025

Language: Английский

Citations

0
CGJO: a novel complex-valued encoding golden jackal optimization DOI Creative Commons
Jinzhong Zhang, Gang Zhang,

Min Kong

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 23, 2024

Golden jackal optimization (GJO) is inspired by mundane characteristics and collaborative hunting behaviour, which mimics foraging, trespassing encompassing, capturing prey to refresh a jackal's position. However, the GJO has several limitations, such as slow convergence rate, low computational accuracy, premature convergence, poor solution efficiency, weak exploration exploitation. To enhance global detection ability this paper proposes novel complex-valued encoding golden (CGJO) achieve function engineering design. The strategy deploys dual-diploid organization encode real imaginary portions of converts dual-dimensional region single-dimensional manifestation region, increases population diversity, restricts search stagnation, expands area, promotes information exchange, fosters collaboration efficiency improves accuracy. CGJO not only exhibits strong adaptability robustness supplementary advantages but also balances local exploitation promote precision determine best solution. CEC 2022 test suite six real-world designs are utilized evaluate effectiveness feasibility CGJO. compared with three categories existing algorithms: (1) WO, HO, NRBO BKA recently published algorithms; (2) SCSO, GJO, RGJO SGJO highly cited (3) L-SHADE, LSHADE-EpsSin CMA-ES performing algorithms. experimental results reveal that superior those other superiority reliability quicker greater computation precision, stability robustness.

Language: Английский

Citations

1
QSAR modelling of enzyme inhibition toxicity of ionic liquid based on chaotic spotted hyena optimization algorithm DOI
Aiedh Mrisi Alharthi, Niam Abdulmunim Al-Thanoon, Abdo Mohammed Al‐Fakih

et al.

SAR and QSAR in environmental research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Sept. 30, 2024

Ionic liquids (ILs) have attracted considerable interest due to their unique properties and prospective uses in various industries. However, potential toxicity, particularly regarding enzyme inhibition, has become a growing concern. In this study, QSAR model was proposed predict the inhibition toxicity of ILs. A dataset diverse ILs with corresponding data against three enzymes compiled. Molecular descriptors that capture physicochemical, structural, topological were calculated. To optimize selection develop robust model, chaotic spotted hyena optimization algorithm, novel nature-inspired metaheuristic, employed. The algorithm efficiently searches for an optimal subset parameters, enhancing predictive performance interpretability model. developed exhibits excellent capability, high classification accuracy low computation time. Sensitivity analysis molecular interpretation selected provide insights into critical structural features influencing This study showcases successful application modelling contributes better understanding mechanisms ILs, aiding design safer alternatives industrial applications.

Language: Английский

Citations

1
Location-aware job scheduling for IoT systems using cloud and fog DOI Creative Commons
Xiaomo Yu,

Mingjun Zhu,

Ming Zhu

et al.

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 110, P. 346 - 362

Published: Oct. 11, 2024

Language: Английский

Citations

1
Resource optimization in smart electronic health systems using IoT for heart disease prediction via feedforward neural networks DOI
Huan Li, Yong Dou

Cluster Computing, Journal Year: 2024, Volume and Issue: 28(1)

Published: Oct. 21, 2024

Language: Английский

Citations

1
Presenting a hybrid method for fault tolerance based on neural fuzzy logic in distribution networks using phasor measurement units DOI
Pengwei Zhang,

Yiying Tu,

Yonggang Zeng

et al.

Journal of Ambient Intelligence and Humanized Computing, Journal Year: 2024, Volume and Issue: 15(12), P. 4009 - 4021

Published: Oct. 8, 2024

Language: Английский

Citations

0
Improvement of intrusion detection system in industrial Internet of Things based on deep learning with fog computing capability DOI
W. Li,

Nazila Mohammadnezhad

Electronic Commerce Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 3, 2024

Language: Английский

Citations

0