Md. Shohel Rana

Orcid: 0000-0001-6626-4189

Affiliations:
  • Florida Gulf Coast University, Fort Myers, FL, USA
  • Daffodil International University, Dhaka, Bangladesh (former)
  • University of Southern Mississippi, Hattiesburg, MS, US (former)


According to our database1, Md. Shohel Rana authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
ML-ASPA: A Contemplation of Machine Learning-based Acoustic Signal Processing Analysis for Sounds, & Strains Emerging Technology.
CoRR, 2024

Enhancing Global Security: A Robust CNN Model for Deepfake Video Detection.
Proceedings of the 7th International Conference on Information and Computer Technologies, 2024

Advanced Deepfake Detection using Machine Learning Algorithms: A Statistical Analysis and Performance Comparison.
Proceedings of the 7th International Conference on Information and Computer Technologies, 2024

A Disambiguation of Security-based Software Testing.
Proceedings of the 7th International Conference on Information and Computer Technologies, 2024

Deepfakes - Reality Under Threat?
Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

Predicting Travel Time in Complex Road Structures using Deep Learning.
Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023
STOW-Net: Spatio-Temporal Operation Based Deep Learning Network for Classifying Wavelet Transformed Motor Imagery EEG Signals.
Proceedings of the IEEE Region 10 Conference, 2023

Deepfake Detection: A Tutorial.
Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics, 2023

2022
Deepfake Detection: A Systematic Literature Review.
IEEE Access, 2022

The Impact of Social and Economic Indicators on Infant Mortality Rate in Bangladesh: A Vector Error Correction Model (VECM) Approach.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022

2020
Evaluation of Advanced Ensemble Learning Techniques for Android Malware Detection.
Vietnam. J. Comput. Sci., 2020

DeepfakeStack: A Deep Ensemble-based Learning Technique for Deepfake Detection.
Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020

2018
Evaluating Machine Learning Models for Android Malware Detection: A Comparison Study.
Proceedings of the VII International Conference on Network, Communication and Computing, 2018

Evaluation of Tree Based Machine Learning Classifiers for Android Malware Detection.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

e-School: Design and Implementation of Web Based Teaching Institution for Enhancing E-Learning Experiences.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

2017
An Enhanced Model for Inpainting on Digital Images Using Dynamic Masking.
J. Commun., 2017

A Proposed PST Model for Enhancing E-Learning Experiences.
Proceedings of the International Conference on Digital Technology in Education, 2017


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