Now showing items 1-13 of 13

    • Assessing Early Stage Design of a mHealth App for Gestational Diabetes Mellitus Management in Bangladeshi Women 

      Islam, Ashraful; AHMED, ESHTIAK; Zaman, Marzia; Rangon, Fairy Hasan; Amin, M Ashraful; Islam, Rakibul (The International Diabetes Federation (IDF), 2023, 2023-10)
      There is significant concern over the rising incidence of Gestational Diabetes Mellitus (GDM) among expectant mothers in Bangladesh [1]. Limited healthcare facilities in rural areas hinder prompt diagnosis and efficient ...
    • A Comparative Overview of Local Mobile Financial Services Smartphone Apps Available in Bangladesh 

      Smaron, J,M, Sadik-Ul Islam; Tabassum, Yousra; Simoon, M.M.; Rahman, Zara; Rafid, Lishan; Islam, Ashraful (International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), 2023, IEEE, 2023-10)
      The rapid growth of mobile financial services (MFS) contributes toward the revolution of the financial landscape in developing economies, particularly Bangladesh. As a key player in promoting financial inclusion and the ...
    • Designing Healthcare Relational Agents: A Conceptual Framework with User-Centered Design Guidelines 

      Islam, Ashraful; Chaudhry, Beenish M.; Islam, Aminul (Independent University, Bangladesh, 2023-06)
      This paper presents a conceptual framework for designing relational agents (RAs) in healthcare contexts, developed through the findings from multiple user studies on RAs about their acceptance, efficacy, and usability. The ...
    • A Federated Learning Approach for Type-2 Diabetes Detection Using a Naive Bayes Classifier 

      Rahman, M. M.; Islam, Ashraful; Pasha, Syed Tangim; Islam, M. Usama; Alam, Md Zahangir (, The International Diabetes Federation (IDF), 2023, 2023-10)
      Federated learning (FL) is a new way of training machine learning models across decentralized devices without exchanging the raw data. This approach preserves privacy and promotes the development of more personalized models ...
    • Genre Classification of Bangla Poem Using Machine Learning and Deep Learning Techniques 

      Pasha, Syed Tangim; Islam, Ashraful; Rahman, Mohammed Masudur; Ahmed, Eshtiak; Foysal, Md. Ferdouse Ahmed; Alam, Md Zahangir (Independent University, Bangladesh, 2023-05)
      The computational analysis of the Bangla poems is a challenging task due to the diverse linguistic, stylistic, and semantic features of the Bangla language. In this work, we prepared a dataset of 1311 Bangla poems of two ...
    • Initial Development and Performance Evaluation of a Bengali Voice-Operated Virtual Assistant for Personal Computer Control 

      Mark Quiah, Raven; Akter, Soma; Ahmed, Shad; Masudur Rahman, Mohammad; Alam, Sanzar Adnan; Islam, Ashraful (International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), 2023, IEEE, 2023-10)
      This paper presents the preliminary development and performance evaluation of a personal computer assistant designed for voice-operated interaction in Bengali. A bespoke phonetic grammar has been devised to map Bengali ...
    • Late and Early Blight Diseases Identification of Potatoes with a Light Weight Hybrid Transfer Learning Model 

      Siddique, Abu Zobayer Bin; Das, Shoibal; Tabassum, Poonam; Tasir, All Moon; Roy, Shovon; Rahman, Md. Saifur; Mridha, M. F.; Islam, Ashraful (Independent University, Bangladesh, 2023-05)
      Potatoes are one of the world’s most important commodities, and leaf maladies such as early and late blight can substantially reduce their yield and quality. Hence, both farmers and researchers must prioritize quick and ...
    • Low-cost relay selection in multihop cooperative networks 

      Rahman, Suryaia; Alam, Md Zahangir; Islam, Ashraful; Habib, Md. Tarek; AHMED, ESHTIAK; Hasan, Mahady; Ahmed, Tarem (Journal of King Saud University - Computer and Information Sciences, Q1, 2023-09)
      A best relay selection algorithm for a cooperative multi-hop cross-layer single-input single-output (SISO) amplify-and-forward (AF) wireless relay network is analyzed in this work, with the application where exact channel ...
    • Relational Agents for Type-2 Diabetes Management 

      Islam, Ashraful; Chaudhry, Beenish; Islam, Aminul (The International Diabetes Federation (IDF), 2023, 2023-10)
      Relational agents (RAs), often in the form of virtual humans, are designed to establish a long-term, social-emotional relationship with the user [1]. The technology has shown promise in areas like mental health, wellness, ...
    • SMOTE Oversampling and Near Miss Undersampling Based Diabetes Diagnosis from Imbalanced Dataset with XAI Visualization 

      Nayan, Nasim Mahmud; Islam, Ashraful; Islam, Muhammad Usama; Ahmed, Eshtiak; Hossain, Mohammad Mobarak; Alam, Md Zahangir (Independent University, Bangladesh, 2023-05)
      This study investigated the predictive ability of ten different machine learning (ML) models for diabetes using a dataset that was not evenly distributed. Additionally, the study evaluated the effectiveness of two oversampling ...
    • Time Series Analysis and Forecasting of Air Quality Index of Dhaka City of Bangladesh 

      Sakib, Sheikh Rahmatulla; Sara, Kamarun Nahar; Rasel, Md. Tahmid Hossain; Asif, Md. Masudul Islam; Nahid, Md. Aynul Hasan; Rahman, Md. Saifur; Mridha, M. F.; Islam, Ashraful (Independent University, Bangladesh, 2023-05)
      In Dhaka, the capital city of Bangladesh, various sources including vehicle emissions, industrial activities, brick kilns, building sites, and open rubbish burning contribute to the air pollution problem. To assess the air ...
    • University Student's Mental Stress Detection Using Machine Learning 

      Firoz, Mehedi; Islam, Mohammad Monirul; Shidujaman, Mohammad; Islam, Ashraful; Habib, Md. Tarek (Independent University, Bangladesh, 2023-06)
      University students are especially susceptible to the negative effects of mental stress in today's environment, which is a serious issue overall. A great deal of pressure is now being placed on a period of life that was ...
    • Using an Ensemble Machine Learning Model with Explainable AI (XAI) to Diagnose Gestational Diabetes Mellitus 

      Pasha, Syed Tangim; Islam, Ashraful; Sikder, Sanker; Habib, Md Tarek; Alam, Md Zahangir; Amin, M Ashraful (The International Diabetes Federation (IDF), 2023, 2023-10)
      The emergence of gestational diabetes mellitus (GDM) in pregnant women is a serious health concern and an alarming issue. According to the most recent data from the International Diabetes Federation (IDF), in 2021, 16.7 ...

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