Md. Zahid Hasan

According to our database, Md. Zahid Hasan authored at least 28 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A systematic first-principles investigation of the structural, electronic, mechanical, optical, and thermodynamic properties of Half-Heusler ANiX (ASc, Ti, Y, Zr, Hf; XBi, Sn) for spintronics and optoelectronics applications.

Md. Tarekuzzaman, Mohammad Hasin Ishraq, Md. Atikur Rahman, Ahmad Irfan, Md. Zillur Rahman, Mist. Shamima Akter, Sumaya Abedin, M. A. Rayhan, Md. Rasheduzzaman, M. Moazzam Hossen, Md. Zahid Hasan

J. Comput. Chem., November, 2024

SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time.

Abdullah Al Mahmud, Sami Azam, Inam Ullah Khan, Sidratul Montaha, Asif Karim, Aminul Haque, Md. Zahid Hasan, Mark Brady, Ritu Biswas, Mirjam Jonkman

Neural Comput. Appl., October, 2024

Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos.

Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar

IEEE Trans. Intell. Transp. Syst., September, 2024

DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features.

Shakil Rana, Md Jabed Hosen, Tasnim Jahan Tonni, Md. Awlad Hossen Rony, Kaniz Fatema, Md. Zahid Hasan, Md. Tanvir Rahman, Risala Tasin Khan, Tony Jan, Md Whaiduzzaman

Sensors, May, 2024

ANNprob-ACPs: A novel anticancer peptide identifier based on probabilistic feature fusion approach.

Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Fahim Sultan, Md. Zahid Hasan, Abdulla-Al Kafy

Comput. Biol. Medicine, February, 2024

Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity.

Chih-Hsuan Yang, Benjamin Feuer, Zaki Jubery, Zi K. Deng, Andre Nakkab, Md. Zahid Hasan, Shivani Chiranjeevi, Kelly O. Marshall, Nirmal Baishnab, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Nirav C. Merchant, Chinmay Hegde, Baskar Ganapathysubramanian

CoRR, 2024

GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning.

Hsin-Jung Yang, Joe Beck, Md. Zahid Hasan, Ekin Beyazit, Subhadeep Chakraborty, Tichakorn Wongpiromsarn, Soumik Sarkar

CoRR, 2024

SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction.

Radiful Islam, Rashik Shahriar Akash, Md. Awlad Hossen Rony, Md. Zahid Hasan

Array, 2024

A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions.

Showmick Guha Paul, Arpa Saha, Md. Zahid Hasan, Sheak Rashed Haider Noori, Ahmed Moustafa

IEEE Access, 2024

KOA-CCTNet: An Enhanced Knee Osteoarthritis Grade Assessment Framework Using Modified Compact Convolutional Transformer Model.

Mushrat Jahan, Md. Zahid Hasan, Ismot Jahan Samia, Kaniz Fatema, Md. Awlad Hossen Rony, Mohammad Shamsul Arefin, Ahmed Moustafa

IEEE Access, 2024

Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images.

Md. Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md. Mehedi Hassan, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Sami Azam, Asif Karim, Spyridon Prountzos, Efthymia Alexopoulou, Umama Binta Ashraf, Sheikh Mohammed Shariful Islam

IEEE Access, 2024

EAH-Net: A Novel Ensemble Attention-Based Hybrid Architecture for Breast Cancer Diagnosis Utilizing Ultrasound Images.

Md. Zahid Hasan, Shahed Hossain, Risul Islam Jim, Abdullah Al-Mamun Bulbul, Md. Tanvir Rahman, Mohammad Ali Moni

Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, 2024

2023

Brain Tumor Segmentation from 3D MRI Scans Using U-Net.

Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim

SN Comput. Sci., July, 2023

2022

An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification.

Inam Ullah Khan, Sami Azam, Sidratul Montaha, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Mirjam Jonkman

Intell. Syst. Appl., 2022

TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study.

Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim, Ashraful Islam

IEEE Access, 2022

2021

Use of Efficient Machine Learning Techniques in the Identification of Patients with Heart Diseases.

Pronab Ghosh, Sami Azam, Asif Karim, Mirjam Jonkman, Md. Zahid Hasan

Proceedings of the ICISDM 2021: 2021 the 5th International Conference on Information System and Data Mining, Silicon Valley, CA, USA, May 27, 2021

Breast Cancer Prediction with Gaussian Process Using Anthropometric Parameters.

Sheikh Tonmoy, Habiba Khan Hiya, Md. Zahid Hasan, K. M. Zubair Hasan, Nusrat Zahan

Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Automated Foot and Mouth Disease Classification Using Transfer Learning-Based Deep Convolutional Neural Network.

Md. Rony, Dola Barai, Riad, Md. Zahid Hasan

Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

A Multi-attribute Decision Making Approach for Trauma Center Site Selection.

Kaniz Fatema, Md. Awlad Hossen Rony, Nusrat Zahan, Md. Zahid Hasan

Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2020

Weather Forecasting for the North-Western region of Bangladesh: A Machine Learning Approach.

Md. Arif Rizvee, Md. Ashfakur Rahman Arju, Md. Al-Hasan, Saifuddin Mohammad Tareque, Md. Zahid Hasan

Proceedings of the 11th International Conference on Computing, 2020

2019

An Optimized Pruning Technique for Handling Uncertainty in Decision-Making Process.

Md. Zahid Hasan, Shakhawat Hossain, Mohammad Shorif Uddin, Mohammad Shahidul Islam

Proceedings of International Joint Conference on Computational Intelligence, 2019

Sources and Impact of Uncertainty on Rule-Based Decision-Making Approaches.

Md. Zahid Hasan, Shakhawat Hossain, Mohammad Shorif Uddin, Mohammad Shahidul Islam

Proceedings of International Joint Conference on Computational Intelligence, 2019

Recognition of Jute Diseases by Leaf Image Classification using Convolutional Neural Network.

Md. Zahid Hasan, Md. Sazzadur Ahamed, Aniruddha Rakshit, K. M. Zubair Hasan

Proceedings of the 10th International Conference on Computing, 2019

A Variable Length Key Based Cryptographic Approach on Cloud Data.

Pronab Ghosh, Md. Zahid Hasan, Syeda Tanjila Atik, Md. Ismail Jabiullah

Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019

2018

A CNN-Based Classification Model for Recognizing Visual Bengali Font.

Md. Zahid Hasan, Kh. Tanzila Rahman, Rokeya Islam Riya, K. M. Zubair Hasan, Nusrat Zahan

Proceedings of International Joint Conference on Computational Intelligence, 2018

A Framework for Detecting Driver Drowsiness Based on Eye Blinking Rate and Hand Gripping Pressure.

Md. Ashfakur Rahman Arju, Naib Hossain Khan, Kazi Ekramul Hoque, Arif Rizvi Jisan, Saifuddin M. Tareque, Md. Zahid Hasan

Proceedings of International Joint Conference on Computational Intelligence, 2018

2009

Comparative Study of Different Guard Time Intervals to Improve the BER Performance of Wimax Systems to Minimize the Effects of ISI and ICI under Adaptive Modulation Techniques over SUI1 and AWGN Communication Channels

Md. Zahid Hasan, Mohammad Reaz Hossain, Md. Ashraful Islam, Riaz Hossain

CoRR, 2009

Performance Evaluation of Wimax Physical Layer under Adaptive Modulation Techniques and Communication Channels

Md. Ashraful Islam, Riaz Uddin Mondal, Md. Zahid Hasan

CoRR, 2009