Výsledky vyhledávání - "Islam, Md Robiul"

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English offensive text detection using CNN based Bi-GRU model

Autor: Roy, Tonmoy, Islam, Md Robiul, Miazee, Asif Ahammad, Antara, Anika, Amin, Al, Hossain, Sunjim

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, e

Externí odkaz: http://arxiv.org/abs/2409.15652

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A Critical Analysis on Machine Learning Techniques for Video-based Human Activity Recognition of Surveillance Systems: A Review

Autor: Jahan, Shahriar, Roknuzzaman, Islam, Md Robiul

Upsurging abnormal activities in crowded locations such as airports, train stations, bus stops, shopping malls, etc., urges the necessity for an intelligent surveillance system. An intelligent surveillance system can differentiate between normal and

Externí odkaz: http://arxiv.org/abs/2409.00731

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Sentiment Polarity Analysis of Bangla Food Reviews Using Machine and Deep Learning Algorithms

Autor: Amin, Al, Sarkar, Anik, Islam, Md Mahamodul, Miazee, Asif Ahammad, Islam, Md Robiul, Hoque, Md Mahmudul

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

Externí odkaz: http://arxiv.org/abs/2405.06667

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

Autor: Islam, Md Robiul, Amin, Al, Zereen, Aniqua Nusrat

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 a

Externí odkaz: http://arxiv.org/abs/2405.01873

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PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis

Autor: Islam, Md Robiul, Islam, Md Mahamodul, Afrin, Mst. Suraiya, Antara, Anika, Tabassum, Nujhat, Amin, Al

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, th

Externí odkaz: http://arxiv.org/abs/2404.17960

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