Anichur Rahman, Md. Jahidul Islam, Md. Razaul Karim, Dipanjali Kundu et al.
Currently, vaccine distribution is the most concerning issue of Coronavirus (SARS-CoV-2) diseases in every stage of peoples properly. There are several strategies is proposed by the researchers. Still, the public is facing various difficulties in taking the vaccine. However, the current technologies...
Shahariar Hossain Mahir, Md Tanjum An Tashrif, Md Ahsan Karim, Dipanjali Kundu et al.
Flood prediction is one of the most critical challenges facing today's world. Predicting the probable time of a flood and the area that might get affected is the main goal of it, and more so for a region like Sylhet, Bangladesh where transboundary water flows and climate change have increased the ri...
Anichur Rahman, Dipanjali Kundu, Tanoy Debnath, Muaz Rahman et al.
ABSTRACT Artificial intelligence (AI) and explainable artificial intelligence (XAI) are advancing rapidly, with the potential to deliver significant benefits to modern society. The healthcare sector, in particular, has experienced transformative changes; overall, these technologies are helping to ad...
Anichur Rahman, Md. Zunead Abedin Eidmum, Dipanjali Kundu, Mahir Hossain et al.
In the developing topic of smart cities, Vehicular Ad-Hoc Networks (VANETs) are crucial for providing successful interaction between vehicles and infrastructure. This research proposes a distributed Blockchain-based Vehicular Ad-hoc Network ("DistB-VNET") architecture that includes binary malicious ...
S. M. Nuruzzaman Nobel, Md. Anwar Hussen Wadud, Anichur Rahman, Dipanjali Kundu et al.
The essentiality of categorizing dry foods plays a crucial role in maintaining quality control and ensuring food safety for human consumption. The effectiveness and precision of classification methods are vital for enhanced evaluation of food quality and streamlined logistics. To achieve this, we ga...
Shahariar Hossain Mahir, Md Tanjum An Tashrif, Aysha Siddika Shathe, Md Ahsan Karim et al.
Monkeypox has emerged as a critical global health concern, demanding timely and precise diagnostic measures to control its spread. Despite its similarity to other pox viruses, accurate detection is hindered by the scarcity of privacy-protected medical imaging data, which complicates the application ...
Shahariar Hossain Mahir, Md Tanjum An Tashrif, M Hamza, Tawfiqul Haq Tamim et al.
Bangladesh's low-lying geography and climatic sensitivity are making Sylhet in particular more vulnerable to flooding. The Surma and Kushiara rivers spilling their banks is the primary source of the floods in Sylhet. These rivers flow into Bangladesh with more monsoon water from their source in nort...
Md. Anwar Hussen Wadud, Anichur Rahman, Sadia Sazzad, Dipanjali Kundu et al.
Smart gardening is more than just a laboratory experiment in today's world. The system enables water conservation and energy efficiency. Furthermore, it also improves plant health and increases production rate. Traditional methods involved a constant need to attend to the garden physically to water ...
Anichur Rahman, Md. Saikat Islam Khan, Md. Zunead Abedin Eidmum, Pabon Shaha et al.
The subject of this article is IDS-Intrusion Detection Systems, which are strongly related to a comprehensive cyber attack prevention system. In the present day, an IDS for network infrastructure is a crucial topic. The advancement of SDN-Software Defined Networking has led to a rising need for soft...
Diganta Das, Dipanjali Kundu, Sadia Sazzad, Anichur Rahman
Visually impaired people need technological support to accurately predict and analyze authentic currency notes. There is a requirement to create a software application capable of automatically detecting and recognizing different types of currency notes. In today's advancing world, automated currency...
Md Tanjum An Tashrif, Shahariar Hossain Mahir, Dipanjali Kundu, Anichur Rahman et al.
Preterm birth remains a significant public health challenge, closely associated with infant mortality and long-term morbidity. The complexity of its causes complicates accurate prediction. In this study, we present an AI-driven model designed to predict preterm birth, integrating federated learning ...
Md. Tanjum An Tashrif, Dipanjali Kundu, Mst. Moriom Akter Bithee, Anichur Rahman et al.
Diabetic Retinopathy (DR) is still a major cause of vision loss that can be avoided. This means that we need automated screening systems that can work across institutions without putting sensitive medical data in one place. Although Federated Learning (FL) allows for cooperative model training while...
Md. Kowsar Ahmed, Anichur Rahman, Dipanjali Kundu, Md. Alve Authi Alam et al.
Dementia is a progressive neurodegenerative disease that affects millions worldwide and is a challenge for early detection due to the cost, invasiveness, and limited access of available clinical methods. This study proposes an explainable Artificial Intelligence (AI) system for the prediction of ris...
Dipanjali Kundu, Md. Musfiqur Rahman Milton, Laila Arzuman Ara, Muhammad Nazrul Islam
Nowadays, food delivery applications have gained widespread popularity for providing convenient door-to-door food services. To enhance user acceptance and adoption among diverse users irrespective of age, gender, or IT familiarity, such applications must feature intuitive, usable, and accessible int...
Mohammad Sayduzzaman, Shibly Sadik, Samiul Hasan, Tawhidur Rahman et al.
Strong, scalable, and transparent authentication systems are desperately needed, as seen by the rapid development of digital ecosystems. In order to improve security and user trust, The paper introduces an adaptive risk-based framework for next-generation two-factor authentication (2FA), combining b...