Alamin

Alamin

Lecturer || Data Science Enthusiast

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Enhancing Bangla Language Next Word Prediction and Sentence Completion through Extended RNN with Bi-LSTM Model On N-gram Language

Published in: 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), 2024

Publisher: IEEE

Abstract: Texting stands out as the most prominent form of communication worldwide. Individual spend significant amount of time writing whole texts to send emails or write something on social media, which is time consuming in this modern era. Word prediction and sentence completion will be suitable and appropriate in the Bangla Read more

Recommended citation: Islam, Md Robiul, Al Amin, and Aniqua Nusrat Zereen. "Enhancing Bangla Language Next Word Prediction and Sentence Completion through Extended RNN with Bi-LSTM Model On N-gram Language." arXiv preprint arXiv:2405.01873 (2024).
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Sentiment Polarity Analysis of Bangla Food Reviews Using Machine and Deep Learning Algorithms

Published in: 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), 2024

Publisher: IEEE

Abstract: The Internet has become an essential tool for people in the modern world. Humans, like all living organisms, have essential requirements for survival. These include access to atmospheric oxygen, potable water, protective shelter, and sustenance. The constant flux of the world is making our existence less complicated. A significant portion Read more

Recommended citation: Amin, Al, et al. "Sentiment Polarity Analysis of Bangla Food Reviews Using Machine and Deep Learning Algorithms." 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE). IEEE, 2024.
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PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis

Published in: 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT), 2024

Publisher: IEEE

Abstract: Cybersecurity is one of the global issues because of the extensive dependence on cyber systems of individuals, industries, and organizations. Among the cyber attacks, phishing is increasing tremendously and affecting the global economy. Therefore, this phenomenon highlights the vital need for enhancing user awareness and robust support at both individual Read more

Recommended citation: Islam, Md Robiul, et al. "PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis." arXiv preprint arXiv:2404.17960 (2024).
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English offensive text detection using CNN based Bi-GRU model

Published in: 2nd International Conference on Information and Communication Technology (ICICT), 2024

Publisher: IEEE

Abstract: Over the years, the number of users of social media has increased drastically. People frequently share their thoughts through social platforms, and this leads to an increase in hate content. In this virtual community, individuals share their views, express their feelings, and post photos, videos, blogs, and more. Social networking Read more

Recommended citation: Roy, Tonmoy, et al. "English offensive text detection using CNN based Bi-GRU model." arXiv preprint arXiv:2409.15652 (2024).
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Enhancing the YOLOv8 model for realtime object detection to ensure online platform safety

Published in: Scientific Reports, 2025

Publisher: Springer Nature

Abstract: In today’s digital environment, effectively detecting and censoring harmful and offensive objects such as weapons, addictive substances, and violent content on online platforms is increasingly important for user safety. This study introduces an Enhanced Object Detection (EOD) model that builds upon the YOLOv8-m architecture to improve the identification of such harmful objects in complex scenarios Read more

Recommended citation: Jahan, M.K., Bhuiyan, F.I., Amin, A. et al. Enhancing the YOLOv8 model for realtime object detection to ensure online platform safety. Sci Rep 15, 21167 (2025).
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