Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning. - Md. Alamin Talukder; Md. Manowarul Islam; Md. Ashraf Uddin 001; Arnisha Akhter; Khondokar Fida Hasan; Mohammad Ali Moni (Expert Syst. Appl., 2022)

A Hybrid Dependable Deep Feature Extraction and Ensemble-Based Machine Learning Approach for Breast Cancer Detection. - Selina Sharmin; Tanvir Ahammad; Md. Alamin Talukder; Partho Ghose (IEEE Access, 2023)

A robust and clinically applicable deep learning model for early detection of Alzheimer's. - Md. Masud Rana; Md. Manowarul Islam; Md. Alamin Talukder; Md. Ashraf Uddin 001; Sunil Aryal; Naif Mohammed Alotaibi; Salem A. Alyami; Khondokar Fida Hasan; Mohammad Ali Moni (IET Image Process., 2023)

A dependable hybrid machine learning model for network intrusion detection. - Md. Alamin Talukder; Khondokar Fida Hasan; Md. Manowarul Islam; Ashraf Uddin 004; Arnisha Akhter; Mohammad Abu Yousuf; Fares Alharbi; Mohammad Ali Moni (J. Inf. Secur. Appl., 2023)

A robust hybrid machine learning model for Bengali cyber bullying detection in social media. - Arnisha Akhter; Uzzal Kumar Acharjee; Md. Alamin Talukder; Md. Manowarul Islam; Md. Ashraf Uddin 001 (Nat. Lang. Process. J., 2023)

Smart Contract-Based Access Control Framework for Internet of Things Devices. - Md. Rahat Hasan; Ammar Alazab; Siddhartha Barman Joy; Mohammed Nasir Uddin; Md. Ashraf Uddin 001; Ansam Khraisat; Iqbal Gondal; Wahida Ferdose Urmi; Md. Alamin Talukder (Comput., 2023)

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. - Md. Alamin Talukder; Md. Manowarul Islam; Md. Ashraf Uddin 001; Arnisha Akhter; Md. Alamgir Jalil Pramanik; Sunil Aryal; Muhammad Ali Abdulllah Almoyad; Khondokar Fida Hasan; Mohammad Ali Moni (Expert Syst. Appl., 2023)

A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture. - Md. Manowarul Islam; Md. Alamin Talukder; Md. Ruhul Amin Sarker; Md. Ashraf Uddin 001; Arnisha Akhter; Selina Sharmin; Md. Selim Al Mamun; Sumon Kumar Debnath (Intell. Syst. Appl., 2023)

Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma. - Abanti Bhattacharjya; Manowarul Islam; Md. Ashraf Uddin 001; Md. Alamin Talukder; A. K. M. Azad; Sunil Aryal; Bikash Kumar Paul; Wahia Tasnim; Muhammad Ali Abdulllah Almoyad; Mohammad Ali Moni (CoRR, 2024)

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans. - Maleka Khatun; Md. Manowarul Islam; Habibur Rahman Rifat; Md. Shamim Bin Shahid; Md. Alamin Talukder; Md. Ashraf Uddin 001 (CoRR, 2024)

usfAD Based Effective Unknown Attack Detection Focused IDS Framework. - Md. Ashraf Uddin 001; Sunil Aryal; Mohamed Reda Bouadjenek; Muna Al-Hawawreh; Md. Alamin Talukder (CoRR, 2024)

An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique. - Maksuda Akter; Rabea Khatun; Md. Alamin Talukder; Md. Manowarul Islam; Md. Ashraf Uddin 001 (CoRR, 2024)

BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture. - Md. Manowarul Islam; Md. Alamin Talukder; Md. Ashraf Uddin 001; Arnisha Akhter; Majdi Khalid (Int. J. Intell. Syst., 2024)

Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture. - Md. Alamin Talukder; Md. Abu Layek; Mohsin Kazi; Md. Ashraf Uddin 001; Sunil Aryal (Comput. Biol. Medicine, 2024)

MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs. - Md. Alamin Talukder; Selina Sharmin; Md. Ashraf Uddin 001; Md. Manowarul Islam; Sunil Aryal (Int. J. Inf. Sec., 2024)

Securing transactions: a hybrid dependable ensemble machine learning model using IHT-LR and grid search. - Md. Alamin Talukder; Rakib Hossen; Md. Ashraf Uddin 001; Mohammed Nasir Uddin; Uzzal Kumar Acharjee (Cybersecur., 2024)

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction. - Md. Alamin Talukder; Md. Manowarul Islam; Md. Ashraf Uddin 001; Khondokar Fida Hasan; Selina Sharmin; Salem A. Alyami; Mohammad Ali Moni (J. Big Data, 2024)

An integrated multistage ensemble machine learning model for fraudulent transaction detection. - Md. Alamin Talukder; Majdi Khalid; Ashraf Uddin 004 (J. Big Data, 2024)

A Hybrid Deep Multistacking Integrated Model for Plant Disease Detection. - Majdi Khalid; Md. Alamin Talukder (IEEE Access, 2025)

Hierarchical classification for intrusion detection system: Effective design and empirical analysis. - Md. Ashraf Uddin 001; Sunil Aryal; Mohamed Reda Bouadjenek; Muna Al-Hawawreh; Md. Alamin Talukder (Ad Hoc Networks, 2025)

A dual-tier adaptive one-class classification IDS for emerging cyberthreats. - Md. Ashraf Uddin 001; Sunil Aryal; Mohamed Reda Bouadjenek; Muna Al-Hawawreh; Md. Alamin Talukder (Comput. Commun., 2025)

Abnormal Driving Behavior Detection: A Machine and Deep Learning Based Hybrid Model. - Md. Ashraf Uddin 001; Nibir Hossain; Asif Ahamed; Md. Manowarul Islam; Ansam Khraisat; Ammar Alazab; Khabir Uddin Ahamed; Md. Alamin Talukder (Int. J. Intell. Transp. Syst. Res., 2025)