Md Kamrul Siam

Orcid: 0000-0001-9986-210X

According to our database1, Md Kamrul Siam authored at least 15 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification.
CoRR, February, 2026

Toward a Unified Framework for Secure Coding: A Comprehensive Synthesis of Best Practices.
Comput., 2026

2025
Fusion-Augmented Large Language Models: Boosting Diagnostic Trustworthiness via Model Consensus.
CoRR, October, 2025

Optimized Approaches to Malware Detection: A Study of Machine Learning and Deep Learning Techniques.
CoRR, April, 2025

Multimodal Models in Healthcare: Methods, Challenges, and Future Directions for Enhanced Clinical Decision Support.
Inf., 2025

LeafSightX: an explainable attention-enhanced CNN fusion model for apple leaf disease identification.
Frontiers Artif. Intell., 2025

Securing Decentralized Ecosystems: A Comprehensive Systematic Review of Blockchain Vulnerabilities, Attacks, and Countermeasures and Mitigation Strategies.
Future Internet, 2025

2024
Leveraging Gene Expression Data and Explainable Machine Learning for Enhanced Early Detection of Type 2 Diabetes.
CoRR, 2024

Predicting Breast Cancer Survival: A Survival Analysis Approach Using Log Odds and Clinical Variables.
CoRR, 2024

Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals.
CoRR, 2024

Missile detection and destruction robot using detection algorithm.
CoRR, 2024

Early Adoption of Generative Artificial Intelligence in Computing Education: Emergent Student Use Cases and Perspectives in 2023.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers.
Proceedings of the 3rd International Conference on Computing Advancements, 2024

Leveraging Gene Expression Data and Explainable Machine Learning for Enhanced Early Detection of Type 2 Diabetes.
Proceedings of the 3rd International Conference on Computing Advancements, 2024

A Systematic Literature Review of Decentralized Applications in Web3: Identifying Challenges and Opportunities for Blockchain Developers.
Proceedings of the IEEE International Conference on Big Data, 2024


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