Fahmid Al Farid

According to our database, Fahmid Al Farid authored at least 21 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., September, 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

SkinPalNet: An Advanced Ensemble Model for Skin Cancer Diagnosis with Computer Vision Approach.

Osim Kumar Pal, Fahmid Al Farid, M. F. Mridha, Raihan Kabir, Md. Rashedul Islam, Hezerul Abdul Karim

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2025

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

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2025

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, August, 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

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

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

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

2023

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, December, 2023

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

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

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

Video analytics using deep learning for crowd analysis: a review.

Roman Bhuiyan, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid

Multim. Tools Appl., 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

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

Crowd Monitoring of Hajj Pilgrimage using Video Analytics and Deep Learning.

Roman Bhuiyan, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid

Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2022

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 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

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

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

Proceedings of the Advances in Visual Informatics, 2021