Md. Shazzad Hossain Shaon

Orcid: 0009-0008-2491-1622

According to our database1, Md. Shazzad Hossain Shaon authored at least 16 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CodeGraphNet: embedding-driven enhanced vulnerability detection with line-level error identification.
Softw. Qual. J., June, 2026

A Comparative Study of Machine Learning Models for Identification of Antiviral Peptides Using Various Encoded Features.
IEEE Trans. Comput. Biol. Bioinform., 2026

2025
Routing Dynamics in Distributed Quantum Networks.
CoRR, March, 2025

Advancing Image Security with Quantum Key Distribution and Multi-Layer Chaotic Encryption for Quantum Resilient Transmission.
CoRR, January, 2025

BitterEN: A novel ensemble model for the identification of bitter peptide.
Comput. Biol. Medicine, 2025

NULLDect: A Dynamic Adaptive Learning Framework for Robust NULL Pointer Dereference Detection.
Proceedings of the 22nd International Conference on Security and Cryptography, 2025

Quantum Entanglement and Distance: A Performance Study of Long-Distance Networks.
Proceedings of the 9th International Conference on Cloud and Big Data Computing, 2025

Routing Dynamics in Distributed Quantum Networks: Trading-Off Computational Efficiency and Quantum Coherence.
Proceedings of the 9th International Conference on Cloud and Big Data Computing, 2025

ResVul-LLM: A Neurosymbolic Framework Combining Large Language Models and Symbolic Reasoning for C/C++ Vulnerability Analysis.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
StackAMP: Stacking-Based Ensemble Classifier for Antimicrobial Peptide Identification.
IEEE Trans. Artif. Intell., November, 2024

ANNprob-ACPs: A novel anticancer peptide identifier based on probabilistic feature fusion approach.
Comput. Biol. Medicine, February, 2024

Enhanced LLM-Based Framework for Predicting Null Pointer Dereference in Source Code.
CoRR, 2024

A Combined Feature Embedding Tools for Multi-Class Software Defect and Identification.
CoRR, 2024

An Advanced Liver Disease Detection Tool with a Stacking-Ensemble-based Machine Learning Approach.
Proceedings of the IEEE International Conference on Big Data, 2024

NeuroBooster: A Robust Classifier for the Discovery of Neuropeptide Sequences based on Meta-learning Approach.
Proceedings of the IEEE International Conference on Big Data, 2024

EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code.
Proceedings of the IEEE International Conference on Big Data, 2024


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