Výsledky vyhledávání - "Hasan Mahamudul"

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ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System

Autor: Hasan, Mahamudul

Recommender systems are designed to suggest items based on user preferences, helping users navigate the vast amount of information available on the internet. Given the overwhelming content, outlier detection has emerged as a key research area in reco

Externí odkaz: http://arxiv.org/abs/2410.00408

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FireLite: Leveraging Transfer Learning for Efficient Fire Detection in Resource-Constrained Environments

Autor: Hasan, Mahamudul, Prince, Md Maruf Al Hossain, Ansari, Mohammad Samar, Jahan, Sabrina, Miah, Abu Saleh Musa, Shin, Jungpil

Fire hazards are extremely dangerous, particularly in sectors such as the transportation industry, where political unrest increases the likelihood of their occurrence. By employing IP cameras to facilitate the setup of fire detection systems on trans

Externí odkaz: http://arxiv.org/abs/2409.20384

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Utilizing Collaborative Filtering in a Personalized Research-Paper Recommendation System

Autor: Hasan, Mahamudul, Islam, Anika Tasnim, Islam, Nabila

Recommendation system is such a platform that helps people to easily find out the things they need within a few seconds. It is implemented based on the preferences of similar users or items. In this digital era, the internet has provided us with huge

Externí odkaz: http://arxiv.org/abs/2409.19267

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An Efficient Multi-threaded Collaborative Filtering Approach in Recommendation System

Autor: Hasan, Mahamudul

Recommender systems are a subset of information filtering systems designed to predict and suggest items that users may find interesting or relevant based on their preferences, behaviors, or interactions. By analyzing user data such as past activities

Externí odkaz: http://arxiv.org/abs/2409.19262

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Advancing Cucumber Disease Detection in Agriculture through Machine Vision and Drone Technology

Autor: Rahman, Syada Tasfia, Vasker, Nishat, Ahammed, Amir Khabbab, Hasan, Mahamudul

This study uses machine vision and drone technologies to propose a unique method for the diagnosis of cucumber disease in agriculture. The backbone of this research is a painstakingly curated dataset of hyperspectral photographs acquired under genuin

Externí odkaz: http://arxiv.org/abs/2409.12350

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Akademický článek

Temperature Regulation of Photovoltaic Module Using Phase Change Material: A Numerical Analysis and Experimental Investigation

Autor: Hasan Mahamudul, Md. Momtazur Rahman, H. S. C. Metselaar, Saad Mekhilef, S. A. Shezan, Rana Sohel, Sayuti Bin Abu Karim, Wan Nur Izzati Badiuzaman

Publikováno v: International Journal of Photoenergy, Vol 2016 (2016)

This work represents an effective design of a temperature regulated PV module by integrating phase change materials for Malaysian weather condition. Through the numerical analysis and experimental investigation it has been shown that if a PCM layer o

Externí odkaz: https://doaj.org/article/49385be5770d4ef3a433e71294d48e81

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