A hybrid machine learning approach using particle swarm optimization for cardiac arrhythmia classification DOI
Sanjay Dhanka,

S. Maini

International Journal of Cardiology, Journal Year: 2025, Volume and Issue: unknown, P. 133266 - 133266

Published: April 1, 2025

Language: Английский

Arctic puffin optimization: A bio-inspired metaheuristic algorithm for solving engineering design optimization DOI
Wenchuan Wang,

Wei-can Tian,

Dong-mei Xu

et al.

Advances in Engineering Software, Journal Year: 2024, Volume and Issue: 195, P. 103694 - 103694

Published: June 15, 2024

Language: Английский

Citations

43
Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018–2023) DOI Creative Commons

Eghbal Hosseini,

Abbas M. Al-Ghaili, Dler Hussein Kadir

et al.

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 53, P. 101409 - 101409

Published: May 1, 2024

The synergy between deep learning and meta-heuristic algorithms presents a promising avenue for tackling the complexities of energy-related modeling forecasting tasks. While excels in capturing intricate patterns data, it may falter achieving optimality due to nonlinear nature energy data. Conversely, offer optimization capabilities but suffer from computational burdens, especially with high-dimensional This paper provides comprehensive review spanning 2018 2023, examining integration within frameworks applications. We analyze state-of-the-art techniques, innovations, recent advancements, identifying open research challenges. Additionally, we propose novel framework that seamlessly merges into paradigms, aiming enhance performance efficiency addressing problems. contributions include: 1. Overview advancements MHs, DL, integration. 2. Coverage trends 2023. 3. Introduction Alpha metric evaluation. 4. Innovative harmonizing MHs DL

Language: Английский

Citations

17
Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook DOI Creative Commons
Niyi B. Ishola, Emmanuel I. Epelle, Eriola Betiku

et al.

Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: 23, P. 100669 - 100669

Published: July 1, 2024

One of the main limitations to economic sustainability biodiesel production remains high feedstock cost. Modeling and optimization are crucial steps determine if processes (esterification transesterification) involved in economically viable. Phenomenological or mechanistic models can simulate processes. These methods have been used manage processes, but their broad use has constrained by computational complexity numerical difficulties. Therefore, it is necessary quick, effective, accurate, resilient modeling methodologies regulate such complex systems. Data-driven machine-learning (ML) techniques offer a potential replacement for conventional deal with nonlinear, unpredictable, complex, multivariate nature Artificial neural networks (ANN) adaptive neuro-fuzzy inference systems (ANFIS) most often utilized ML tools research. To effectively attain maximum yield, suitable based on nature-inspired algorithms need be integrated these obtain best possible combination various operating variables. Future research should focus utilizing approaches monitoring managing increase effectiveness promote commercial feasibility. Thus, review discusses optimizing

Language: Английский

Citations

17
A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities DOI Creative Commons
Arezou Naghib,

Farhad Soleimanian Gharehchopogh,

Azadeh Zamanifar

et al.

Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(4)

Published: Jan. 30, 2025

Language: Английский

Citations

3
Optimize brain tumor multiclass classification with manta ray foraging and improved residual block techniques DOI
Saif Ur Rehman Khan, Sohaib Asif, Ming Zhao

et al.

Multimedia Systems, Journal Year: 2025, Volume and Issue: 31(1)

Published: Feb. 1, 2025

Language: Английский

Citations

2
A novel offloading strategy for multi-user optimization in blockchain-enabled Mobile Edge Computing networks for improved Internet of Things performance DOI
Amir Masoud Rahmani, Jawad Tanveer, Farhad Soleimanian Gharehchopogh

et al.

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 119, P. 109514 - 109514

Published: Aug. 8, 2024

Language: Английский

Citations

12
Competitive swarm optimizer with dynamic multi-competitions and convergence accelerator for large-scale optimization problems DOI
Chen Huang, Daqing Wu, Xiangbing Zhou

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: unknown, P. 112252 - 112252

Published: Sept. 1, 2024

Language: Английский

Citations

12
Advancing Network Security in Industrial IoT: A Deep Dive into AI-Enabled Intrusion Detection Systems DOI
Mohammad Shahin,

Mazdak Maghanaki,

Ali Hosseinzadeh

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102685 - 102685

Published: July 12, 2024

Language: Английский

Citations

10
Multi-view clustering via high-order bipartite graph fusion DOI
Zihua Zhao, Ting Wang, Haonan Xin

et al.

Information Fusion, Journal Year: 2024, Volume and Issue: 113, P. 102630 - 102630

Published: Aug. 10, 2024

Language: Английский

Citations

8
Modified random-oppositional chaotic artificial rabbit optimization algorithm for solving structural problems and optimal sizing of hybrid renewable energy system DOI

Sarada Mohapatra,

Himadri Lala, Prabhujit Mohapatra

et al.

Evolutionary Intelligence, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 9, 2025

Language: Английский

Citations

1