Md. Foysal

20212022202320242 11 28 17

A. B. M. Aowlad HossainProfessor, Department of ECE, Khulna University of Engineering & TechnologyVerified email at ece.kuet.ac.bd
Md. Ebtidaul KarimAssistant Professor of Department of Electronics and Communication Engineering, Khulna University ofVerified email at ece.kuet.ac.bd
Abdulsalam YassineLakehead UniversityVerified email at lakeheadu.ca
Md Taef Uddin NadimGraduate Research Assistant, University of ArkansasVerified email at uark.edu
Manisha Das ChaityGraduate Research Assistant, Rochester Institute of TechnologyVerified email at sdstate.edu
Sunanda Das BDFaculty, dept. of CSE, KUETVerified email at cse.kuet.ac.bd

Md. Foysal

Assistant Professor, Dept. of ECE, Khulna University of Engineering & Technology, Bangladesh

Verified email at ece.kuet.ac.bd


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Stock Price Prediction Using Bi-LSTM and GRU-Based Hybrid Deep Learning Approach ME Karim, M Foysal, S Das Proceedings of Third Doctoral Symposium on Computational Intelligence: DoSCI …, 2022	24	2022
COVID-19 Detection from Chest CT Images using Ensemble Deep Convolutional Neural Network M Foysal, ABMA Hossain 2021 2nd International Conference for Emerging Technology (INCET), 1-6, 2021	22	2021
Detection of COVID-19 Case from Chest CT Images Using Deformable Deep Convolutional Neural Network M Foysal, ABMA Hossain, A Yassine, MS Hossain Journal of Healthcare Engineering 2023 (Article ID 4301745), pp. 1-12, 2023	7	2023
Towards Autonomic Entropy Based Approach for DDoS Attack Detection and Mitigation Using Software Defined Networking MTU Nadim, M Foysal 2021 International Conference on Automation, Control and Mechatronics for …, 2021	3	2021
DeepRoadNet: A deep residual based segmentation network for road map detection from remote aerial image MI Ahmed, M Foysal, MD Chaity, ABMA Hossain IET Image Processing, pp. 1-15, 2023	2	2023
Lung Cancer Detection and Classification from Chest CT Images Using an Ensemble Deep Learning Approach Z Sultana, M Foysal, S Islam, A Al Foysal 2024 6th International Conference on Electrical Engineering and Information …, 2024		2024

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