Md. Alamin Talukder

Orcid: 0000-0002-3192-1000

According to our database1, Md. Alamin Talukder authored at least 17 papers between 2022 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction.
J. Big Data, December, 2024

Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture.
Comput. Biol. Medicine, January, 2024

Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis.
CoRR, 2024

A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats.
CoRR, 2024

usfAD Based Effective Unknown Attack Detection Focused IDS Framework.
CoRR, 2024

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans.
CoRR, 2024

Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma.
CoRR, 2024

Securing Transactions: A Hybrid Dependable Ensemble Machine Learning Model using IHT-LR and Grid Search.
CoRR, 2024

MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs.
CoRR, 2024

2023
A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture.
Intell. Syst. Appl., November, 2023

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning.
Expert Syst. Appl., November, 2023

Smart Contract-Based Access Control Framework for Internet of Things Devices.
Comput., October, 2023

A dependable hybrid machine learning model for network intrusion detection.
J. Inf. Secur. Appl., 2023

A robust and clinically applicable deep learning model for early detection of Alzheimer's.
IET Image Process., 2023

A Hybrid Dependable Deep Feature Extraction and Ensemble-Based Machine Learning Approach for Breast Cancer Detection.
IEEE Access, 2023

2022
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning.
Expert Syst. Appl., 2022

A Dependable Hybrid Machine Learning Model for Network Intrusion Detection.
CoRR, 2022


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