A. H. M. Kamal

According to our database, A. H. M. Kamal authored at least 17 papers between 2015 and 2024.

Collaborative distances:

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

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., October, 2024

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

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., April, 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, March, 2023

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

2022

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

2021

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

2020

An embedding technique for smartcard-supported e-healthcare services.

A. H. M. Kamal, Mohammad Mahfuzul Islam, Zehadul Islam

Iran J. Comput. Sci., 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

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

2019

A prediction error based histogram association and mapping technique for data embedment.

A. H. M. Kamal, Mohammad Mahfuzul Islam

J. Inf. Secur. Appl., 2019

2018

An image distortion-based enhanced embedding scheme.

A. H. M. Kamal, Mohammad Mahfuzul Islam

Iran J. Comput. Sci., 2018

2017

Enhancing embedding capacity and stego image quality by employing multi predictors.

A. H. M. Kamal, Mohammad Mahfuzul Islam

J. Inf. Secur. Appl., 2017

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 the Robustness of Visual Degradation Based HAM Reversible Data Hiding.

Habiba Sultana, A. H. M. Kamal, Mohammad Mahfuzul Islam

J. Comput. Sci., 2016

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

Proceedings of the International Conference on Networking Systems and Security, 2016

2015

Capacity improvement of reversible data hiding scheme through better prediction and double cycle embedding process.

A. H. M. Kamal, Mohammad Mahfuzul Islam

Proceedings of the 2015 IEEE International Conference on Advanced Networks and Telecommuncations Systems, 2015