Md. Farhadul Islam

Orcid: 0000-0003-3249-4490

According to our database1, Md. Farhadul Islam authored at least 13 papers between 2022 and 2025.

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

Timeline

2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2025
Involution fused convolution for classifying eye-tracking patterns of children with Autism Spectrum Disorder.
Eng. Appl. Artif. Intell., 2025

2024
Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation.
CoRR, 2024

Spatially Optimized Compact Deep Metric Learning Model for Similarity Search.
CoRR, 2024

Involution Fused ConvNet for Classifying Eye-Tracking Patterns of Children with Autism Spectrum Disorder.
CoRR, 2024

Fog-Resilient Bangla Car Plate Recognition Using Dark Channel Prior and YOLO.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Knowledge Distillation and Weight Pruning for Two-step Compression of ConvNets in Rice Leaf Disease Classification.
Proceedings of the 11th International Conference on Networking, Systems, and Security, 2024

2023
Unmasking the Invisible: Finding Location-Specific Aggregated Air Quality Index with Smartphone-Captured Images.
CoRR, 2023

Classifying Corn Leaf Diseases using Ensemble Learning with Dropout and Stochastic Depth Based Convolutional Networks.
Proceedings of the 8th International Conference on Machine Learning Technologies, 2023

Forecasting Meteorological Solar Irradiation Using Machine Learning and N-BEATS Architecture.
Proceedings of the 8th International Conference on Machine Learning Technologies, 2023

Exploring Node Classification Uncertainty in Graph Neural Networks.
Proceedings of the 2023 ACM Southeast Conference, 2023

2022
Monte Carlo Dropout for Uncertainty Analysis and ECG Trace Image Classification.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

How certain are tansformers in image classification: uncertainty analysis with Monte Carlo dropout.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022

Note: Plant Leaf Disease Network (PLeaD-Net): Identifying Plant Leaf Diseases through Leveraging Limited-Resource Deep Convolutional Neural Network.
Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022


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