An interpretable Bayesian deep learning-based approach for sustainable clean energy.
Neural Comput. Appl., September, 2024
Reliable Artificial Intelligence Approach for Sustainable Flood Susceptibility Forecasting.
Proceedings of the 10th International Conference on Advanced Intelligent Systems and Informatics 2024, 2024
Optimized Bayesian convolutional neural networks for invasive breast cancer diagnosis system.
Appl. Soft Comput., November, 2023
Virtual Control System for Presentations by Real-Time Hand Gesture Recognition Based on Machine Learning.
Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics, 2023
Data Fusion for Improved Stock Closing Price Prediction: Ensemble Regression Approach.
Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics, 2023
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization.
Appl. Soft Comput., 2021
Multi-Objective Hybrid Artificial Intelligence Approach for Fault Diagnosis of Aerospace Systems.
IEEE Access, 2021
An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis.
Swarm Evol. Comput., 2020
GSA-DenseNet121-COVID-19: a Hybrid Deep Learning Architecture for the Diagnosis of COVID-19 Disease based on Gravitational Search Optimization Algorithm.
CoRR, 2020
Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep Learning Approach.
IEEE Access, 2020
An Optimized Deep Convolutional Neural Network to Identify Nanoscience Scanning Electron Microscope Images Using Social Ski Driver Algorithm.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, 2019