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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Outstanding Academic Result
Published:
Student of Dept. of Information and Communication Engineering (ICE) at Pabna University of Science and Technology (PUST)
Certifications
Certified in Advanced Learning Algorithms and Supervised Machine Learning from Stanford University’s DeepLearning.AI, along with a Problem Solving (Basic and Intermadiate) Certificate from HackerRank.
Convener; Unlocking Research: From Concept to Publication
The first research-based course was launched at Pabna University of Science and Technology
Disaster Hackathon 2.0 Finalist
Top 5 Teams advancing to the CULTIVATE STAGE (October 27–30, 2024) at CCDB Climate Centre, Gazipur.
General Secretary - NSWA
The General Secretary of the Nilphamari Students Welfare Association
Vice President - ICE Association
The ICE Association is an organization in which all students of the Department of ICE are default members. It supports students by providing mental, financial, and extracurricular assistance
Champion; Innovation Showcasing - 2024
Hosted by ICT Cell, Pabna University of Science and Technology
Student of the Year Award - 2025
Issued by: Dept. of Information and Communication Engineering, Pabna University of Science and Technology
Vice President - Solver Green
Solver Green, a social organization focused on Learning, Volunteering, Education, and Research
Competitive Programming - CodeChef
Published:
I used CodeChef online judge for contests only.
Highest rating: 1822 (4-Star)
Competitive Programming - CodeForces
In codeforces, I have solved 492 programming problem, and participated in several contests.
Highest rating: 1492 (specialist)
Competitive Programming - HackerRank
HackerRank is the platform, where I learnt coding and earned several batches.
publications
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.
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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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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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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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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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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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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talks
Fresher’s Guide to Research
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