African vultures optimization algorithm based Choquet fuzzy integral for global optimization and engineering design problems DOI
Maha Nssibi, Ghaith Manita, Francis Faux

et al.

Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(S3), P. 3205 - 3271

Published: Oct. 3, 2023

Language: Английский

MeVs-deep CNN: optimized deep learning model for efficient lung cancer classification DOI

Ranjana M. Sewatkar,

Asnath Victy Phamila Y

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 19, 2024

Language: Английский

Citations

1
Optimal design and energy management in isolated renewable sources based microgrid considering excess energy and reliability aspects DOI
Subhash Yadav,

Pradeep Kumar,

Ashwani Kumar

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 103, P. 114320 - 114320

Published: Oct. 30, 2024

Language: Английский

Citations

1
Prediction and Elimination of Physiological Tremor During Control of Teleoperated Robot Based on Deep Learning DOI Creative Commons
Juntao Chen, Zhiqing Zhang, Wei Guan

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(22), P. 7359 - 7359

Published: Nov. 18, 2024

Currently, teleoperated robots, with the operator's input, can fully perceive unknown factors in a complex environment and have strong environmental interaction perception abilities. However, physiological tremors human hand seriously affect accuracy of processes that require high-precision control. Therefore, this paper proposes an EEMD-IWOA-LSTM model, which decompose tremor into several intrinsic modal components (IMF) by using EEMD decomposition strategy convert nonlinear non-stationary curve multiple simple sequences. An LSTM neural network is used to build prediction model for each component, IWOA proposed optimize thereby improving eliminating it. At same time, results are compared those different models, presented study show obvious superior performance. In two examples, MSE 0.1148 0.00623, respectively. The defibrillation effectively eliminate during teleoperation improve control robot teleoperation.

Language: Английский

Citations

1
A Quasi-Oppositional Based Flamingo Search Algorithm Integrated with Generalized Ring Crossover for Effective Feature Selection DOI

Revathi Durgam,

Nagaraju Devarakonda

IETE Journal of Research, Journal Year: 2023, Volume and Issue: 69(12), P. 8623 - 8639

Published: March 8, 2023

The goal of this article is to present a new hybrid technique for solving the feature selection problem. Conventionally, process determining most relevant subset based on given criteria known as selection. Specifically, real world issue that can be tackled by an optimization technique. In proposed method, novel Quasi oppositional Flamingo search algorithm with Generalized Ring Crossover (QOFSA-GRC) model introduced pick features from dataset. (QOFSA) generates two populations one learning and other resolve curse dimensionality. Then, utilizing generalized ring crossover, multiple are selected UCI repository Finally, Kernel Extreme Learning Machine (KELM) classifier validates features. performance tested 20 benchmark datasets outcomes compared models. Through experimental outcomes, it has been revealed suggested produces best accuracy also selects fewer numbers more terms measures, attains better majority datasets.

Language: Английский

Citations

3
African vultures optimization algorithm based Choquet fuzzy integral for global optimization and engineering design problems DOI
Maha Nssibi, Ghaith Manita, Francis Faux

et al.

Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(S3), P. 3205 - 3271

Published: Oct. 3, 2023

Language: Английский

Citations

3