A. H. M. Kamal
Orcid: 0000-0001-8031-666X
  According to our database1,
  A. H. M. Kamal
  authored at least 18 papers
  between 2015 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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    on orcid.org
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Bibliography
  2025
  2024
A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals.
    
  
    IEEE Trans. Artif. Intell., October, 2024
    
  
Increasing embedding capacity of stego images by exploiting edge pixels in prediction error space.
    
  
    Cyber Secur. Appl., 2024
    
  
  2023
Explainable indoor localization of BLE devices through RSSI using recursive continuous wavelet transformation and XGBoost classifier.
    
  
    Future Gener. Comput. Syst., April, 2023
    
  
    Future Internet, March, 2023
    
  
Protecting health data in the cloud through steganography: A table-driven, blind method using neural networks and bit-shuffling algorithm.
    
  
    J. Netw. Comput. Appl., 2023
    
  
  2022
Novel Algorithm for Multi-Time Data Implantation in a Special Cyber-Manufacturing Architecture.
    
  
    Algorithms, 2022
    
  
  2021
  2020
    Iran J. Comput. Sci., 2020
    
  
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data.
    
  
    CoRR, 2020
    
  
Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19.
    
  
    CoRR, 2020
    
  
  2019
A prediction error based histogram association and mapping technique for data embedment.
    
  
    J. Inf. Secur. Appl., 2019
    
  
  2018
  2017
    J. Inf. Secur. Appl., 2017
    
  
  2016
    J. Vis. Commun. Image Represent., 2016
    
  
    J. Comput. Sci., 2016
    
  
Enhancing the embedding payload by handling the affair of association and mapping of block pixels through prediction errors histogram.
    
  
    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.
    
  
    Proceedings of the 2015 IEEE International Conference on Advanced Networks and Telecommuncations Systems, 2015