61 citations · 95 across the 5 of their papers we have counts for
5 papers
COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions
Mahathir Mohammad Bishal, Md. Rakibul Hassan Chowdory, Anik Das +1
The COVID-19 pandemic has had adverse effects on both physical and mental health. During this pandemic, numerous studies have focused on gaining insights into health-related perspe…
Smartphone Apps for Tracking Food Consumption and Recommendations: Evaluating Artificial Intelligence-based Functionalities, Features and Quality of Current Apps
Sabiha Samad, Fahmida Ahmed, Samsun Naher +4
The advancement of artificial intelligence (AI) and the significant growth in the use of food consumption tracking and recommendation-related apps in the app stores have created a…
A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues
A. R. Sana Ullah, Anupam Das, Anik Das +2
Misinformation during pandemic situations like COVID-19 is growing rapidly on social media and other platforms. This expeditious growth of misinformation creates adverse effects on…
A Systematic Review of Mobile Apps for Child Sexual Abuse Education: Limitations and Design Guidelines
Sadia Tasnuva Pritha, Rahnuma Tasnim, Muhammad Ashad Kabir +2
The objectives of this study are understanding the requirements of a CSA education app, identifying the limitations of existing apps, and providing a guideline for better app desig…
Learning Daily Calorie Intake Standard using a Mobile Game
Anik Das, Sumaiya Amin, Muhammad Ashad Kabir +2
Mobile games can contribute to learning at greater success. In this paper, we have developed and evaluated a novel educational game, named FoodCalorie, to learn the food calorie in…