- Adaptive FEM-BPNN model for predicting underground cable temperature considering varied soil composition, 2024
- Consequential Advancements of Self-Supervised Learning (SSL) in Deep Learning Contexts, 2024
- Automated Classification of Snow-Covered Solar Panel Surfaces Based on Deep Learning Approaches, 2023
- Performance Analysis of Classification and Detection for PV Panel Motion Blur Images Based on Deblurring and Deep Learning Techniques, 2023
- Deep learning-based framework for monitoring of debris-covered glacier from remotely sensed images, 2023
- Enhancing hyperspectral remote sensing image classification using robust learning technique, 2023
- Auxiliary Learning of Non-Monotonic Hyperparameter Scheduling System Via Grid Search, 2022
- A Robust NIfTI Image Authentication Framework Based on DST and Multi-Scale Otsu Thresholding, 2022
- A faster dynamic convergency approach for self-organizing maps, 2022
- Understanding the User-Generated Geographic Information by Utilizing Big Data Analytics for Health Care, 2022
- Monocular vision with deep neural networks for autonomous mobile robots navigation, 2022
- Land Cover Classification using Machine Learning Approaches from High Resolution Images, 2021
- Analysis of convexly combined recursive inverse algorithms, 2021
- A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images, 2021
- COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review, 2021
- Investigating the Effectiveness of Adaptive Step Size LMS Algorithms for the Use with VOIP Applications, 2020
- A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic, 2020
- Robust adaptive learning approach to self-organizing maps, 2019
- Back-propagation algorithm with variable adaptive momentum, 2016