Capacity improvement of reversible data hiding scheme through better prediction and double cycle embedding process. - A. H. M. Kamal; Mohammad Mahfuzul Islam (IEEE ANTS, 2015)

Enhancing the embedding payload by handling the affair of association and mapping of block pixels through prediction errors histogram. - A. H. M. Kamal; Mohammad Mahfuzul Islam (NSysS, 2016)

Enhancing the Robustness of Visual Degradation Based HAM Reversible Data Hiding. - Habiba Sultana; A. H. M. Kamal; Mohammad Mahfuzul Islam (J. Comput. Sci., 2016)

Boosting up the data hiding rate through multi cycle embedment process. - A. H. M. Kamal; Mohammad Mahfuzul Islam (J. Vis. Commun. Image Represent., 2016)

Enhancing embedding capacity and stego image quality by employing multi predictors. - A. H. M. Kamal; Mohammad Mahfuzul Islam (J. Inf. Secur. Appl., 2017)

An image distortion-based enhanced embedding scheme. - A. H. M. Kamal; Mohammad Mahfuzul Islam (Iran J. Comput. Sci., 2018)

A prediction error based histogram association and mapping technique for data embedment. - A. H. M. Kamal; Mohammad Mahfuzul Islam (J. Inf. Secur. Appl., 2019)

Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19. - Sakifa Aktar; Ashis Talukder; Md. Martuza Ahamad; A. H. M. Kamal; Jahidur Rahman Khan; Md. Protikuzzaman; Nasif Hossain; Julian M. W. Quinn; Matthew A. Summers; Teng Liaw; Valsamma Eapen; Mohammad Ali Moni (CoRR, 2020)

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. - Sakifa Aktar; Md. Martuza Ahamad; Md Rashed-Al-Mahfuz; A. K. M. Azad; Shahadat Uddin; A. H. M. Kamal; Salem A. Alyami; Ping-I Lin; Sheikh Mohammed Shariful Islam; Julian M. W. Quinn; Valsamma Eapen; Mohammad Ali Moni (CoRR, 2020)

An embedding technique for smartcard-supported e-healthcare services. - A. H. M. Kamal; Mohammad Mahfuzul Islam; Zehadul Islam (Iran J. Comput. Sci., 2020)

Lung cancer detection using enhanced segmentation accuracy. - Onika Akter; Mohammad Ali Moni; Mohammad Mahfuzul Islam; Julian M. W. Quinn; A. H. M. Kamal (Appl. Intell., 2021)

Novel Algorithm for Multi-Time Data Implantation in a Special Cyber-Manufacturing Architecture. - Mahbubun Nahar; A. H. M. Kamal; Md. Rafiul Hassan; Mohammad Ali Moni (Algorithms, 2022)

Protecting health data in the cloud through steganography: A table-driven, blind method using neural networks and bit-shuffling algorithm. - Mahbubun Nahar; A. H. M. Kamal; Gahangir Hossain (J. Netw. Comput. Appl., 2023)

A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method. - Habiba Sultana; A. H. M. Kamal; Gahangir Hossain; Muhammad Ashad Kabir (Future Internet, 2023)

Explainable indoor localization of BLE devices through RSSI using recursive continuous wavelet transformation and XGBoost classifier. - A. H. M. Kamal; Md. Golam Rabiul Alam; Md. Rafiul Hassan; Tasnim Sakib Apon; Mohammad Mehedi Hassan (Future Gener. Comput. Syst., 2023)

Increasing embedding capacity of stego images by exploiting edge pixels in prediction error space. - Habiba Sultana; A. H. M. Kamal; Tasnim Sakib Apon; Md. Golam Rabiul Alam (Cyber Secur. Appl., 2024)

A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals. - Israq Ahmed Anik; A. H. M. Kamal; Muhammad Ashad Kabir; Shahadat Uddin; Mohammad Ali Moni (IEEE Trans. Artif. Intell., 2024)

DNA Steganography to Enhance Security in Banking Sector. - Mahbubun Nahar; A. H. M. Kamal (Secur. Priv., 2025)