A Comparison of ML and DL Approaches for Crowd Analysis on the Hajj Pilgrimage. - Muhammad Nur Hakim Bin Zamri; Junaidi Abdullah; Roman Bhuiyan; Noramiza Hashim; Fahmid Al Farid; Jia Uddin; Mohd Nizam Husen; Norra Abdullah (IVIC, 2021)

Recommending Research Articles: A Multi-Level Chronological Learning-Based Approach Using Unsupervised Keyphrase Extraction and Lexical Similarity Calculation. - Talha Bin Sarwar; Noorhuzaimi Karimah Mohd Noor; M. Saef Ullah Miah; Mamunur Rashid; Fahmid Al Farid; Mohd Nizam Husen (IEEE Access, 2021)

Crowd density estimation using deep learning for Hajj pilgrimage video analytics. - Roman Bhuiyan; Junaidi Abdullah; Noramiza Hashim; Fahmid Al Farid; Jia Uddin; Norra Abdullah; Mohd Ali Samsudin (F1000Research, 2021)

Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline. - Md Nahidul Islam; Norizam Sulaiman; Fahmid Al Farid; Jia Uddin; Salem A. Alyami; Mamunur Rashid; Anwar P. P. Abdul Majeed; Mohammad Ali Moni (PeerJ Comput. Sci., 2021)

Crowd Monitoring of Hajj Pilgrimage using Video Analytics and Deep Learning. - Roman Bhuiyan; Junaidi Abdullah; Noramiza Hashim; Fahmid Al Farid (ISPACS, 2022)

New Hybrid Deep Learning Approach Using BiGRU-BiLSTM and Multilayered Dilated CNN to Detect Arrhythmia. - Md. Shofiqul Islam; Md Nahidul Islam; Noramiza Hashim; Mamunur Rashid; Bifta Sama Bari; Fahmid Al Farid (IEEE Access, 2022)

A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System. - Fahmid Al Farid; Noramiza Hashim; Junaidi Abdullah; Roman Bhuiyan; Wan Noorshahida Mohd Isa; Jia Uddin; Mohammad Ahsanul Haque; Mohd Nizam Husen (J. Imaging, 2022)

Video analytics using deep learning for crowd analysis: a review. - Roman Bhuiyan; Junaidi Abdullah; Noramiza Hashim; Fahmid Al Farid (Multim. Tools Appl., 2022)

A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network. - Roman Bhuiyan; Junaidi Abdullah; Noramiza Hashim; Fahmid Al Farid; Mohammad Ahsanul Haque; Jia Uddin; Wan Noorshahida Mohd Isa; Mohd Nizam Husen; Norra Abdullah (PeerJ Comput. Sci., 2022)

Deep Dilated Convolutional Neural Network for Crowd Density Image Classification with Dataset Augmentation for Hajj Pilgrimage. - Roman Bhuiyan; Junaidi Abdullah; Noramiza Hashim; Fahmid Al Farid; Wan Noorshahida Mohd Isa; Jia Uddin; Norra Abdullah (Sensors, 2022)

Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification. - Md. Shofiqul Islam; Sunjida Sultana; Fahmid Al Farid; Md Nahidul Islam; Mamunur Rashid; Bifta Sama Bari; Noramiza Hashim; Mohd Nizam Husen (Sensors, 2022)

Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN. - Roman Bhuiyan; Junaidi Abdullah; Noramiza Hashim; Fahmid Al Farid; Jia Uddin (J. Big Data, 2023)

Single Shot Detector CNN and Deep Dilated Masks for Vision-Based Hand Gesture Recognition From Video Sequences. - Fahmid Al Farid; Noramiza Hashim; Junaidi Abdullah; Roman Bhuiyan; Magzhan Kairanbay; Zulfadzli Yusoff; Hezerul Abdul Karim; Sarina Mansor; Md. Tanjil Sarker; Gobbi Ramasamy (IEEE Access, 2024)

Eye Disease Detection Enhancement Using a Multi-Stage Deep Learning Approach. - Md Zahin Muntaqim; Tangin Amir Smrity; Abu Saleh Musa Miah; Hasan Muhammad Kafi; Taosin Tamanna; Fahmid Al Farid; Md. Abdur Rahim; Hezerul Abdul Karim; Sarina Mansor (IEEE Access, 2024)

Improving Wheat Leaf Disease Classification: Evaluating Augmentation Strategies and CNN-Based Models With Limited Dataset. - Syed Taha Yeasin Ramadan; Tanjim Sakib; Fahmid Al Farid; Md. Shofiqul Islam; Junaidi Abdullah; Roman Bhuiyan; Sarina Mansor; Hezerul Abdul Karim (IEEE Access, 2024)

Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review. - Md. Shofiqul Islam; Fahmid Al Farid; F. M. Javed Mehedi Shamrat; Md Nahidul Islam; Mamunur Rashid; Bifta Sama Bari; Junaidi Abdullah; Muhammad Nazrul Islam; Md. Akhtaruzzaman; Muhammad Nomani Kabir; Sarina Mansor; Hezerul Abdul Karim (PeerJ Comput. Sci., 2024)

Optimized Crop Disease Identification in Bangladesh: A Deep Learning and SVM Hybrid Model for Rice, Potato, and Corn. - Shohag Barman; Fahmid Al Farid; Jaohar Raihan; Niaz Ashraf Khan; Md. Ferdous Bin Hafiz; Aditi Bhattacharya; Zaeed Mahmud; Sadia Afrin Ridita; Md. Tanjil Sarker; Hezerul Abdul Karim; Sarina Mansor (J. Imaging, 2024)

CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection. - Md Abrar Jahin; Shahriar Soudeep; Fahmid Al Farid; Muhammad Firoz Mridha; Raihan Kabir; Md. Rashedul Islam; Hezerul Abdul Karim (IEA/AIE (2), 2025)

SkinPalNet: An Advanced Ensemble Model for Skin Cancer Diagnosis with Computer Vision Approach. - Osim Kumar Pal; Fahmid Al Farid; M. F. Mridha 001; Raihan Kabir; Md. Rashedul Islam; Hezerul Abdul Karim (IEA/AIE (1), 2025)

Real-Time Waste Detection and Classification Using YOLOv12-Based Deep Learning Model. - Mosharof Hossain Dipo; Fahmid Al Farid; Md. Sifti Al Mahmud; Muntasir Momtaz; Shakila Rahman; Jia Uddin; Hezerul Abdul Karim (Digit., 2025)

Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction. - Shahariar Hossain Mahir; Md. Tanjum An Tashrif; Md. Ahsan Karim; Dipanjali Kundu; Anichur Rahman; Md. Amir Hamza; Fahmid Al Farid; Abu Saleh Musa Miah; Sarina Mansor (IEEE Open J. Comput. Soc., 2025)

Optical flow and deep learning-based anomaly detection for hajj pilgrimage crowd monitoring. - Roman Bhuiyan; Junaidi Abdullah; Noramiza Hashim; Fahmid Al Farid; Wan Noorshahida Mohd Isa; Jia Uddin; Hezerul Abdul Karim; Sarina Mansor; Duraisamy Balaganesh; Md. Tanjil Sarker (Signal Image Video Process., 2025)