SGBBA: An Efficient Method for Prediction System in Machine Learning using Imbalance Dataset
Saiful Islam(King Khalid University), Mahedi Hasan(National Institute of Textile Engineering and Research), Dipanjali Kundu(University of Dhaka), Anichur Rahman(Georgia Southern University), Umme Sara(University of Dhaka), Diganta Bhusan Das(Chittagong University of Engineering & Technology), A.N.M. Rezaul(Chittagong University of Engineering & Technology), Abu Kawsar(Chittagong University of Engineering & Technology)
International Journal of Advanced Computer Science and Applications
January 1, 2021
Cited by 37
Related Papers
Accurate brain tumor detection using deep convolutional neural network
|Computational and Structural Biotechnology Journal|2022|382
Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
|Cluster Computing|2022|357
SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT
|IEEE Access|2021|181
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
|AIMS Public Health|2024|180
Towards a blockchain-SDN-based secure architecture for cloud computing in smart industrial IoT
|Digital Communications and Networks|2022|132