Publications

Scopus-Indexed Publication: 6

Journal Article: 2
Conference Article: 4
Under Review: 2+

You can also find my articles on my ResearchGate profile.

Journal Articles

Enhanced Plant Health Monitoring with Dual Head CNN for Leaf Classification and Disease Identification

Published in Journal of Agriculture and Food Research (Elsevier-Q1), 2025

Developed a Dual-Head CNN (DH-CNN) for plant leaf classification and disease detection. Achieved 99.71% accuracy in leaf classification and 99.26% in disease identification using the PlantVillage dataset. Enhanced agricultural automation for improved crop management.

Recommended citation: Sajeeb Kumar Ray, Md. Anwar Hossain, Naima Islam, Mirza A.F.M. Rashidul Hasan, Enhanced plant health monitoring with dual head CNN for leaf classification and disease identification, Journal of Agriculture and Food Research, Volume 21, 2025, 101930
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Enhanced human activity recognition through deep multi-layer perceptron on the UCI-HAR dataset

Published in International Journal of Advances in Applied Sciences (IJAAS), 2024

This paper examines human activity recognition (HAR) using the UCI-HAR dataset, presenting a multi-layer perceptron (MLP) model that achieves 97% accuracy.

Recommended citation: M. A. Hossain, S. K. Ray, N. Islam, A. Alamin, and M. A. F. M. R.Hasan, "Enhanced human activity recognition through deep multi-layer perceptron on the UCI-HAR dataset," International Journal of Advances in Applied Sciences, vol. 13, pp. 429-438, 2024.
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Freshness Detection of Fruits and Vegetables Using Multi-Task CNN and ResNet-50 [Under Review]

Published in Under Review, 2024

In this research, developed a deep multi-task learning CNN model (MTL-CNN) for fruit freshness detection and fruit-type classification, achieving 98.63% accuracy by leveraging shared feature extraction and addressing imbalanced datasets.

Recommended citation: SK Ray, MA Hossain, N Islam and Mirza AFMRH; Freshness Detection of Fruits and Vegetables Using Multi-Task CNN and ResNet-50.

Conference Papers

Deep Learning Based Lung Image Segmentation Using XR-U-Net

Published in 27th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh., 2024

We propose XR-U-Net, an enhanced deep-learning framework based on U-Net, achieving 95.7% segmentation accuracy for lung X-ray images. This model can aid healthcare professionals by improving diagnostic speed and accuracy in detecting lung-associated pathologies.

Recommended citation: S. K. Ray, A. Islam, M.C. Chanda, N. Islam, M. A. Hossain, M. A. R. Hasan and Alamin, "Deep Learning Based Lung Image Segmentation Using XR-U-Net", 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2024, pp. 1-6
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Generating Bangla Image Captions with Deep Learning Techniques

Published in 6th International Conference on Sustainable Technologies for Industry 5.0 (STI), Narayanganj, Bangladesh, 2024

We introduce a Bangla image captioning model using EfficientNetB4 and ResNet-50 for feature extraction, with EfficientNetB4 achieving a BLEU score of 0.54. This study also presents the BanglaView dataset, fostering advancements in accessibility and Bengali digital communication.

Recommended citation: M. A. Hossain, M. A. R. Hasan, S. K. Ray and N. Islam, "Generating Bangla Image Captions with Deep Learning Techniques," 2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI), Narayanganj, Bangladesh, 2024, pp. 1-6, doi: 10.1109/STI64222.2024.10951094
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Embedded Systems-Based AC Device Controller

Published in International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET), Rajshahi, Bangladesh, 2024

The Embedded Systems-based AC Device Controller automates the operation of AC devices using a microcontroller and real-time clock (RTC) for precise, user-defined durations. It enhances energy efficiency, operational safety, and convenience by eliminating manual intervention and preventing unnecessary power usage.

Recommended citation: Alamin, S. K. Ray, M. A. Hossain, M. A. R. Hasan, N. Islam and M. M. A. Hossain, "Embedded Systems-Based AC Device Controller," 2024 International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET), Rajshahi, Bangladesh, 2024, pp. 1-6, doi: 10.1109/ICRPSET64863.2024.10955881
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Vehicle Classification and Detection Using YOLOv8: A Study on Highway Traffic Analysis

Published in International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET), Rajshahi, Bangladesh, 2024

This study introduces a vehicle detection and classification framework for Bangladeshi roadways using the YOLOv8n model, optimizing traffic flow and enhancing road safety. Tested on real-time traffic footage, the model effectively handles urban complexities but requires further accuracy improvements in congested settings.

Recommended citation: N. Islam, S. K. Ray, M. A. Hossain, M. A. Rashidul Hasan, Alamin and M. B. Al Zabir Shammo, "Vehicle Classification and Detection Using YOLOv8: A Study on Highway Traffic Analysis," 2024 International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET), Rajshahi, Bangladesh, 2024, pp. 1-4, doi: 10.1109/ICRPSET64863.2024.10955913
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