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A. H. M. Kamal
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2020 – today
- 2024
- [j13]Habiba Sultana, A. H. M. Kamal, Tasnim Sakib Apon, Md. Golam Rabiul Alam:
Increasing embedding capacity of stego images by exploiting edge pixels in prediction error space. Cyber Secur. Appl. 2: 100028 (2024) - [j12]Israq Ahmed Anik, A. H. M. Kamal, Muhammad Ashad Kabir, Shahadat Uddin, Mohammad Ali Moni:
A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals. IEEE Trans. Artif. Intell. 5(10): 4938-4947 (2024) - 2023
- [j11]A. H. M. Kamal, Md. Golam Rabiul Alam, Md. Rafiul Hassan, Tasnim Sakib Apon, Mohammad Mehedi Hassan:
Explainable indoor localization of BLE devices through RSSI using recursive continuous wavelet transformation and XGBoost classifier. Future Gener. Comput. Syst. 141: 230-242 (2023) - [j10]Habiba Sultana, A. H. M. Kamal, Gahangir Hossain, Muhammad Ashad Kabir:
A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method. Future Internet 15(3): 108 (2023) - [j9]Mahbubun Nahar, A. H. M. Kamal, Gahangir Hossain:
Protecting health data in the cloud through steganography: A table-driven, blind method using neural networks and bit-shuffling algorithm. J. Netw. Comput. Appl. 217: 103689 (2023) - 2022
- [j8]Mahbubun Nahar, A. H. M. Kamal, Md. Rafiul Hassan, Mohammad Ali Moni:
Novel Algorithm for Multi-Time Data Implantation in a Special Cyber-Manufacturing Architecture. Algorithms 15(10): 335 (2022) - 2021
- [j7]Onika Akter, Mohammad Ali Moni, Mohammad Mahfuzul Islam, Julian M. W. Quinn, A. H. M. Kamal:
Lung cancer detection using enhanced segmentation accuracy. Appl. Intell. 51(6): 3391-3404 (2021) - 2020
- [j6]A. H. M. Kamal, Mohammad Mahfuzul Islam, Zehadul Islam:
An embedding technique for smartcard-supported e-healthcare services. Iran J. Comput. Sci. 3(4): 195-205 (2020) - [i2]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:
Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19. CoRR abs/2008.12683 (2020) - [i1]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:
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. CoRR abs/2011.10657 (2020)
2010 – 2019
- 2019
- [j5]A. H. M. Kamal, Mohammad Mahfuzul Islam:
A prediction error based histogram association and mapping technique for data embedment. J. Inf. Secur. Appl. 48 (2019) - 2018
- [j4]A. H. M. Kamal, Mohammad Mahfuzul Islam:
An image distortion-based enhanced embedding scheme. Iran J. Comput. Sci. 1(3): 175-186 (2018) - 2017
- [j3]A. H. M. Kamal, Mohammad Mahfuzul Islam:
Enhancing embedding capacity and stego image quality by employing multi predictors. J. Inf. Secur. Appl. 32: 59-74 (2017) - 2016
- [j2]Habiba Sultana, A. H. M. Kamal, Mohammad Mahfuzul Islam:
Enhancing the Robustness of Visual Degradation Based HAM Reversible Data Hiding. J. Comput. Sci. 12(2): 88-97 (2016) - [j1]A. H. M. Kamal, Mohammad Mahfuzul Islam:
Boosting up the data hiding rate through multi cycle embedment process. J. Vis. Commun. Image Represent. 40: 574-588 (2016) - [c2]A. H. M. Kamal, Mohammad Mahfuzul Islam:
Enhancing the embedding payload by handling the affair of association and mapping of block pixels through prediction errors histogram. NSysS 2016: 1-8 - 2015
- [c1]A. H. M. Kamal, Mohammad Mahfuzul Islam:
Capacity improvement of reversible data hiding scheme through better prediction and double cycle embedding process. IEEE ANTS 2015: 1-6
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last updated on 2024-10-30 21:31 CET by the dblp team
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