Explainable AI model for PDFMal detection based on gradient boosting model.
Neural Comput. Appl., December, 2024
COVID-19 drug repurposing model based on pigeon-inspired optimizer and rough sets theory.
Neural Comput. Appl., May, 2024
Advanced machine learning techniques for cardiovascular disease early detection and diagnosis.
J. Big Data, December, 2023
Securing Financial Transactions with a Robust Algorithm: Preventing Double-Spending Attacks.
Comput., August, 2023
One-D Convolution Neural Network Models for Human Activity Recognition using mHealth Datasets.
Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023
Users opinion and emotion understanding in social media regarding COVID-19 vaccine.
Computing, 2022
Spatial Impressions Monitoring during COVID-19 Pandemic Using Machine Learning Techniques.
Comput., 2022
Hybrid Deep Learning Model-Based Prediction of Images Related to Cyberbullying.
Int. J. Appl. Math. Comput. Sci., 2022
ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound.
Neural Comput. Appl., 2021
A robust deep learning model for missing value imputation in big NCDC dataset.
Iran J. Comput. Sci., 2021
Feature selection approach using ensemble learning for network anomaly detection.
CAAI Trans. Intell. Technol., 2020
A Generic Approach of Filling Missing Values in NCDC Weather Stations Data.
Proceedings of the 2018 International Conference on Advances in Computing, 2018
Performance evaluation of predictive models for missing data imputation in weather data.
Proceedings of the 2017 International Conference on Advances in Computing, 2017