Bikram Biswas, Sajib Kumar Roy, Falguni Roy
The aim of this study is to measures the student’s perception of using mobile for learning during COVID-19 in Bangladesh especially at the university student’s perspective. During the COVID-19 pandemic period, mobile learning may help the students to fulfill the study gap. Due to COVID-19 pandemic 2...
Moushumi Akter, Nishat Anjum, Falguni Roy, Sabina Yasmin et al.
Cakes are usually consumed bakery item all over the world; so, their enrichment with nutrients is an effective way to increase nutrition to the people health. This goal can be achieved using the potato peel flour (PPF) on cake formulation. This research was carried out to compare the effect of dryin...
Mahamudul Hasan, Falguni Roy
Item-based collaborative filtering is one of the most popular techniques in the recommender system to retrieve useful items for the users by finding the correlation among the items. Traditional item-based collaborative filtering works well when there exists sufficient rating data but cannot calculat...
Falguni Roy, Sheikh Muhammad Sarwar, Mahamudul Hasan
Surajit Das Barman, Mahamudul Hasan, Falguni Roy
Recommender System is a technique which is used to recommend an item or product to a user based on the user's preference'. Collaborative filtering is an approach that is vastly used in recommender systems. Item-item-based collaborative filtering is a collaborative filtering recommender system techni...
Falguni Roy, Mahamudul Hasan
Item−item collaborative filtering is a sub-type of a recommender system that applies the items’ similarities for recommending a new set of items to the user. Usually, a traditional recommender system utilizes items’ ratings given by the user for deducing their preferences for recommending items. How...
Falguni Roy, Mahamudul Hasan
Information overload is the biggest challenge nowadays for any website, especially e-commerce websites. However, this challenge arises for the fast growth of information on the web (WWW) with easy access to the internet. Collaborative filtering based recommender system is the most useful application...
Bikram Biswas, Mohammad Nur Ullah, Sajib Kumar Roy, Falguni Roy
After a long waited span, the whole world could see the ray of covid-19 vaccine to resist the planet to watch the death procession. But some country people especially the people of Bangladesh keep them aside to take the vaccination. This study aims to understand the perception towards the COVID-19 v...
Mahamudul Hasan, Falguni Roy, Tasdikul Hasan, Lafifa Jamal
Recommender system is an approach where users get suggestions based on their previous preferences. Nowadays, people are overwhelmed by the huge amount of information that is being present in any system. Sometimes, it is difficult for a user to find an appropriate item by searching the desired conten...
Falguni Roy
Information overload is the biggest challenges nowadays for any website, especially the e-commerce website. However, this challenge arises for the fast growth of information on the web (WWW) with easy access to the internet. Collaborative filtering based recommender system is the most useful applica...
Falguni Roy, Na Zhao, Xiaofeng Ding
Bikram Biswas, Mohammad Nur Ullah, Nahida Shaulin, Anas Al Masud et al.
This research examines the predictors of university students’ willingness to accept AI-assisted learning environments in Bangladesh. This study particularly observes the moderating role of AI awareness (AIA) based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Perceived Risk T...
Md. Kawsar Ali, Bristi Rani Roy, Falguni Yesmine Sapna, S.M. Koushik Shahriar
This document presents an in-depth examination of offline signature verification utilizing Siamese neural networks. Our study tackles the issue of advanced forgeries by assessing a Siamese network design with four different backbone architectures: MobileNetV2, VGG16, InceptionV3, and a custom CNN. F...
Md. Sultan Mahomud, Moushumi Akter, Nishat Anjum, Falguni Roy et al.
Bikram Biswas, Sajib Kumar Roy, Falguni Roy
The aim of this study is to measures the student’s perception of using mobile for learning during COVID-19 in Bangladesh especially at the university student’s perspective. During the COVID-19 pandemic period, mobile learning may help the students to fulfill the study gap. Due to COVID-19 pandemic 2...