Fahmid Al Farid

Orcid: 0000-0003-2625-2348

According to our database1, Fahmid Al Farid authored at least 37 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
An explainable framework for dementia risk prediction based on lifestyle data using machine learning and deep learning.
Discov. Artif. Intell., December, 2026

Modeling household adoption of IoT-based home security in Dhaka: a PLS-machine learning framework.
Frontiers Big Data, 2026

2025
Effect of Activation Function and Model Optimizer on the Performance of Human Activity Recognition System Using Various Deep Learning Models.
CoRR, December, 2025

Optical flow and deep learning-based anomaly detection for hajj pilgrimage crowd monitoring.
Signal Image Video Process., September, 2025

Brain Tumor Classification from MRI Scans via Transfer Learning and Enhanced Feature Representation.
CoRR, September, 2025

Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction.
IEEE Open J. Comput. Soc., 2025

A Hybrid CNN Framework DLI-Net for Acne Detection with XAI.
J. Imaging, 2025

Bangla Speech Emotion Recognition Using Deep Learning-Based Ensemble Learning and Feature Fusion.
J. Imaging, 2025

Bilingual Sign Language Recognition: A YOLOv11-Based Model for Bangla and English Alphabets.
J. Imaging, 2025

A Structured and Methodological Review on Multi-View Human Activity Recognition for Ambient Assisted Living.
J. Imaging, 2025

A Lightweight CNN for Multiclass Retinal Disease Screening with Explainable AI.
J. Imaging, 2025

LeafSightX: an explainable attention-enhanced CNN fusion model for apple leaf disease identification.
Frontiers Artif. Intell., 2025

A novel interpretable and real-time dengue prediction framework using clinical blood parameters with genetic and GAN-based optimization.
Frontiers Artif. Intell., 2025

Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11.
Future Internet, 2025

Examining the influence of deterrent and enhancement factors on QR-code mobile payment continuance intention: insights from PLS-SEM and IPMA analysis.
Frontiers Big Data, 2025

Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis.
Frontiers Big Data, 2025

Real-Time Waste Detection and Classification Using YOLOv12-Based Deep Learning Model.
Digit., 2025

Federated learning meets few-shot learning: A voting ensemble based combined approach to cauliflower leaf disease classification across Non-IID data distributions.
Array, 2025

SkinPalNet: An Advanced Ensemble Model for Skin Cancer Diagnosis with Computer Vision Approach.
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.
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.
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.
PeerJ Comput. Sci., 2024

Development of a Lightweight Model for Handwritten Dataset Recognition: Bangladeshi City Names in Bangla Script.
Comput. Mater. Continua, 2024

Improving Wheat Leaf Disease Classification: Evaluating Augmentation Strategies and CNN-Based Models With Limited Dataset.
IEEE Access, 2024

Eye Disease Detection Enhancement Using a Multi-Stage Deep Learning Approach.
IEEE Access, 2024

Single Shot Detector CNN and Deep Dilated Masks for Vision-Based Hand Gesture Recognition From Video Sequences.
IEEE Access, 2024

2023
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN.
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.
Sensors, 2022

Deep Dilated Convolutional Neural Network for Crowd Density Image Classification with Dataset Augmentation for Hajj Pilgrimage.
Sensors, 2022

A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network.
PeerJ Comput. Sci., 2022

A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System.
J. Imaging, 2022

New Hybrid Deep Learning Approach Using BiGRU-BiLSTM and Multilayered Dilated CNN to Detect Arrhythmia.
IEEE Access, 2022

Crowd Monitoring of Hajj Pilgrimage using Video Analytics and Deep Learning.
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.
PeerJ Comput. Sci., 2021

Crowd density estimation using deep learning for Hajj pilgrimage video analytics.
F1000Research, 2021

Recommending Research Articles: A Multi-Level Chronological Learning-Based Approach Using Unsupervised Keyphrase Extraction and Lexical Similarity Calculation.
IEEE Access, 2021

A Comparison of ML and DL Approaches for Crowd Analysis on the Hajj Pilgrimage.
Proceedings of the Advances in Visual Informatics, 2021


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