Aritra Das, Fahad Pathan, Jamin Rahman Jim, Md. Mohsin Kabir et al.
The early identification and treatment of tomato leaf diseases are crucial for optimizing plant productivity, efficiency and quality. Misdiagnosis by the farmers poses the risk of inadequate treatments, harming both tomato plants and agroecosystems. Precision of disease diagnosis is essential, neces...
Aritra Das, Anthony Harries, S. G. Hinderaker, Rony Zachariah et al.
SETTING: Two subdistricts in Bangladesh, Fulbaria and Trishal, which are hyperendemic for leishmaniasis. OBJECTIVE: To determine 1) the numbers of patients diagnosed with visceral leishmaniasis (VL) and post-kala azar dermal leishmaniasis (PKDL) using an active case detection (ACD) strategy in Fulba...
Mohammad Rifat Ahmmad Rashid, Kazi Ferdous Hasan, Rakibul Hasan, Aritra Das et al.
In the rapidly evolving domain of e-commerce, analyzing customer feedback through reviews is crucial, particularly for understanding and enhancing consumer experience in the Bangladeshi market. Our comprehensive dataset, derived from two Bangladeshi e-commerce platforms, Daraz and Pickaboo, features...
Aritra Das, Fahad Pathan, Jamin Rahman Jim, Momotaz Rahman Ouishy et al.
Agricultural productivity is essential for global economic development by ensuring food security, boosting incomes and supporting employment. It enhances stability, reduces poverty and promotes sustainable growth, creating a robust foundation for overall economic progress and improved quality of lif...
Hadiur Rahman Nabil, Istyak Ahmed, Aritra Das, M. F. Mridha et al.
This study introduces MSFE-GallNet-X, a domain-adaptive deep learning model utilizing multi-scale feature extraction (MSFE) to improve the classification accuracy of gallbladder diseases from grayscale ultrasound images, while integrating explainable artificial intelligence (XAI) methods to enhance ...
Mohammad Manzurul Islam, M. Ahmed, Muhammad Danial Shafi, Aritra Das et al.
In the field of agriculture, particularly within the context of machine learning applications, quality datasets are essential for advancing research and development. To address the challenges of identifying different mango leaf types and recognizing the diverse and unique characteristics of mango va...
Istyak Ahmed, Hadiur Rahman Nabil, Golam Rabbani Abir, Tazdik Hossain et al.
This paper introduces NeuroNet architecture, a lightweight deep-learning framework designed for brain tumor identification, integrating a spatial attention-driven convolutional neural network (CNN) architecture. NeuroNet aims to enhance the classification accuracy of brain tumors, specifically targe...
Md Jawadul Hasan, Aritra Das, Joy Matubber, Shadril Hassan Shifat et al.
With mental health concerns increasingly prevalent, particularly among student populations, understanding and addressing these issues are of paramount significance.This study investigates the impact of mental health conditions on individuals within an academic setting, utilizing machine learning mod...
Mohammad Rifat Ahmmad Rashid, Aritra Das, Kazi Ferdous Hasan, Md. Rakibul Hasan et al.
Sentiment analysis of code-mixed reviews poses unique challenges due to linguistic variability and contex- tual ambiguity, particularly in multilingual e-commerce environments. In this paper, we introduce BERT- KAN, a novel hybrid architecture that enhances bilingual sentiment analysis in Bangladesh...
Ruksana, Jamin Rahman Jim, M. Anwar Hossain, Aritra Das et al.
Karib Shams, Aritra Das, Md. Rakibul Hasan, Mithila Sultana et al.
Mohammad Manzurul Islam, Aritra Das, Karib Shams, Md. Rakibul Hasan et al.
In Bangladesh, people sadly are not very much concerned about traffic rules. This study focuses on traffic flow patterns at four locations in Dhaka: Shapla Chattar, Arambag, Bashabo and Abul Hotel. Foot over bridges were used to collect video data, which captured single-lane and double-lane traffic ...
Jawad Mohmmad, Aritra Das, Maruf Shahriar, Sujan Howlader et al.
A digital voting system can be the beginning of an effective, transparent, and secure voting process with the integration of technology into every aspect of our society. This study proposed a reliable and user-friendly voting system that would count votes securely using an Arduino microcontroller bo...
Rebecca Racheal Apolot, Simon Ssentamu Kaddu, Egmond Samir Evers, Paul Debashish et al.
Abstract Introduction: Infection Prevention and Control (IPC) is key in the control of COVID-19 pandemic and one of the pillars considered in the WHO COVID-19 Strategic Preparedness and Response Plan 2020. We conducted an Intra-Action Review (IAR) of IPC response efforts to COVID-19 pandemic in Rohi...
Sunanda Mandal, Aritra Mondal, Aishi Acharya, Arshia Dey Roy et al.
ABSTRACT In this study, an amalgamation between multicomponent (MCR) strategy and organocatalysis for the synthesis of pyrroloacridine derivatives starting from 4,4‐dimethylcyclohexane‐1,3‐dione, amines, and isatin has been reported in eco‐friendly solvent EtOH. Since, here the cyclic 1,3‐diketone b...