Note: Plant Leaf Disease Network (PLeaD-Net): Identifying Plant Leaf Diseases through Leveraging Limited-Resource Deep Convolutional Neural Network. - Joyanta Jyoti Mondal; Md. Farhadul Islam; Sarah Zabeen; A. B. M. Alim Al Islam; Jannatun Noor (COMPASS, 2022)

How certain are tansformers in image classification: uncertainty analysis with Monte Carlo dropout. - Md. Farhadul Islam; Sarah Zabeen; Md. Azharul Islam; Fardin Bin Rahman; Anushua Ahmed; Dewan Ziaul Karim; Annajiat Alim Rasel; Meem Arafat Manab (ICMV, 2022)

Monte Carlo Dropout for Uncertainty Analysis and ECG Trace Image Classification. - Md. Farhadul Islam; Sarah Zabeen; Md. Humaion Kabir Mehedi; Shadab Iqbal; Annajiat Alim Rasel (S+SSPR, 2022)

Exploring Node Classification Uncertainty in Graph Neural Networks. - Md. Farhadul Islam; Sarah Zabeen; Fardin Bin Rahman; Md. Azharul Islam; Fahmid Bin Kibria; Meem Arafat Manab; Dewan Ziaul Karim; Annajiat Alim Rasel (ACM Southeast Regional Conference, 2023)

Forecasting Meteorological Solar Irradiation Using Machine Learning and N-BEATS Architecture. - Md. Tawhid Anwar; Md. Farhadul Islam; Md. Golam Rabiul Alam (ICMLT, 2023)

Classifying Corn Leaf Diseases using Ensemble Learning with Dropout and Stochastic Depth Based Convolutional Networks. - Md. Shamsul Rayhan Chy; Mohammad Rakibul Hasan Mahin; Md. Farhadul Islam; Md Sabbir Hossain; Annajiat Alim Rasel (ICMLT, 2023)

Unmasking the Invisible: Finding Location-Specific Aggregated Air Quality Index with Smartphone-Captured Images. - Joyanta Jyoti Mondal; Md. Farhadul Islam; Raima Islam; Nowsin Kabir Rhidi; A. B. M. Alim Al Islam; Meem Arafat Manab; Jannatun Noor (CoRR, 2023)

Knowledge Distillation and Weight Pruning for Two-step Compression of ConvNets in Rice Leaf Disease Classification. - Tashik Ahmed; Sumaitha Jannat; Abdullah Rahat; Jarin Akter Mou; Md. Farhadul Islam; Jannatun Noor (NSysS, 2024)

Fog-Resilient Bangla Car Plate Recognition Using Dark Channel Prior and YOLO. - Hamim Ibne Nasim; Fateha Jannat Printia; Mahamudul Hasan Himel; Rubaba Rashid; Iffat Jahan Chowdhury; Joyanta Jyoti Mondal; Md. Farhadul Islam; Jannatun Noor (WACV (Workshops), 2024)

Involution Fused ConvNet for Classifying Eye-Tracking Patterns of Children with Autism Spectrum Disorder. - Md. Farhadul Islam; Meem Arafat Manab; Joyanta Jyoti Mondal; Sarah Zabeen; Fardin Bin Rahman; Md. Zahidul Hasan; Farig Sadeque; Jannatun Noor (CoRR, 2024)

Spatially Optimized Compact Deep Metric Learning Model for Similarity Search. - Md. Farhadul Islam; Md. Tanzim Reza; Meem Arafat Manab; Mohammad Rakibul Hasan Mahin; Sarah Zabeen; Jannatun Noor (CoRR, 2024)

Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation. - Md. Farhadul Islam; Sarah Zabeen; Meem Arafat Manab; Mohammad Rakibul Hasan Mahin; Joyanta Jyoti Mondal; Md. Tanzim Reza; Md. Zahidul Hasan; Munima Haque; Farig Sadeque; Jannatun Noor (CoRR, 2024)

Involution-based efficient autoencoder for denoising histopathological images with enhanced hybrid feature extraction. - Md. Farhadul Islam; Md. Tanzim Reza; Meem Arafat Manab; Sarah Zabeen; Md. Fahim-Ul Islam; Md. Fahim Shahriar; Mohammad Kaykobad; Md. Golam Zel Asmaul Husna; Jannatun Noor (Comput. Biol. Medicine, 2025)

Involution fused convolution for classifying eye-tracking patterns of children with Autism Spectrum Disorder. - Md. Farhadul Islam; Meem Arafat Manab; Joyanta Jyoti Mondal; Sarah Zabeen; Fardin Bin Rahman; Md. Zahidul Hasan; Farig Sadeque; Jannatun Noor (Eng. Appl. Artif. Intell., 2025)

A Comparative Performance Analysis of Classification and Segmentation Models on Bangladeshi Pothole Dataset. - Antara Firoz Parsa; S. M. Abdullah; Anika Hasan Talukder; Md. Asif Shahidullah Kabbya; Shakib Al Hasan; Md. Farhadul Islam; Jannatun Noor (CoRR, 2025)

Involution-Infused DenseNet with Two-Step Compression for Resource-Efficient Plant Disease Classification. - Tashik Ahmed; Sumaitha Jannat; Md. Farhadul Islam; Jannatun Noor (CoRR, 2025)