Md. Farhadul Islam

According to our database, Md. Farhadul Islam authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

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

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

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

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

Proceedings of the 8th International Conference on Machine Learning Technologies, 2023

Forecasting Meteorological Solar Irradiation Using Machine Learning and N-BEATS Architecture.

Md. Tawhid Anwar, Md. Farhadul Islam, Md. Golam Rabiul Alam

Proceedings of the 8th International Conference on Machine Learning Technologies, 2023

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

Proceedings of the 2023 ACM Southeast Conference, 2023

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

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

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

Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022