Fahmid Al Farid

According to our database, Fahmid Al Farid authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

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

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