Recent Submissions

  • Multi-agent best routing in high mobility digital-twin-driven internet of vehicles 

    Alam, Md Zahangir; S. Khan, Komal; Jamalipour, Abbas (IEEE IoT Journal, Rank Q1, 2023-10)
    Low-delay high-gain optimal multi-hop routing path is crucial to guarantee both the latency and reliability require- ments for infotainment services in the high mobility internet of vehicles (IoVs) subject to queue stability. ...
  • A Sustainable Approach to Establish Industry-Academia Collaboration by Engaging the Rural Community for the Developing Countries 

    Kabir Peya, Md Mahmudul; Puspita, Afrin Hossain; Alam, Sabrina; Mahbubul Islam, Yousuf; Shahabuddin, A. M.; Hasan, Mahady (Australasian Association for Engineering Education, 2023, Rank B, 2023-09)
    Skill and knowledge both play a vital role in sustainable career development. Universities were built to nurture knowledge thus the focus was on offering a knowledge-based curriculum. On the other hand, the industry's ...
  • 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 ...
  • 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 ...
  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Food Rotting Prediction and Detection System for warehouse 

    Rahman, Mahfuzur; Shafi, Fardin Ahsan; Khatun, Halima; Oshin, Nabilah Tabassum; Sufian, MD Abu Sauri; Kabir, Ashraful; Uddin, Mohammad Rejwan; Shidujaman, Mohammad; Hasan, Mahady (Independent University, Bangladesh, 2023-07)
    this thesis paper presents an elementary approach to food spoilage detection and prediction in a warehouse setting, offering a practical and cost-effective solution to reduce food waste and improve food safety. This project ...
  • Meat freshness classifier with machine and AI 

    Bhuiyan, Zarif Wasif; Haider, Syed Ali Redwanul; Haque, Adiba; Karim, Maidul; Idris, Mumit Ibna; Sikdar, Avishak; Hasan, Mahady; Uddin, Mohammad Rejwan (Independent University, Bangladesh, 2023-06)
    Using machine learning and artificial intelligence techniques, this thesis presents a novel approach to detecting meat freshness. The proposed system consists of an MQ135 gas sensor and an MQ4 methane natural gas sensor ...
  • Smart Floor Cleaning Robot 

    Niloy, Indronil Dey; Hoque, Sayed Mohaiminul; Hoque, Mashfiqul; Arfan, Afif Bin; Jahan, Israt; Mursalin, Islam Bin; Uddin, Mohammad Rejwan; Hasan, Mahady (Independent University, Bangladesh, 2023-07)
    Our life is changing every day. This changing is occurred due to the help of modern science. Science has produced more and more modern technology to make our life simple. “Smart Floor Cleaning Robot” is one of them. A smart ...
  • Understanding the Dynamics of Dengue in Bangladesh: EDA, Climate Correlation, and Predictive Modeling 

    Meem, Sabrina Masum; Hossain, Mohammed Tahmid; Chowdhury, Jannat Khair; Miah, Md Saef Ullah; Monir, Md. Fahad (Independent University, Bangladesh, 2023-07)
    Dengue, a mosquito-borne viral infection, poses a significant threat, especially in warm, tropical climate countries like Bangladesh, India, Thailand, Malaysia, Laos, etc. This study is solely focused on the dengue data ...
  • Bangla Speaker Accent Variation Classification Using Deep Neural Network: A Distinct Approach 

    Alam, Khorshed; Bhuiyan, Mahbubul Haq; Monir, Md. Fahad (Independent University, Bangladesh, 2023-07)
    Accent Variation Classification is the technique of detecting an accent or dialect of a human speech based on speech patterns and features from speech. This is useful in developing speech recognition systems, language ...
  • A Deep Learning Approach to Recognize Bangladeshi Shrimp Species 

    Hasan, Md. Mehedi; Nishi, Jubiria Subrin; Habib, Md. Tarek; Islam, Mohammad Monirul; Ahmed, Farruk (Independent University, Bangladesh, 2023-07)
    Shrimp, the most popular shellfish in Bangladesh, is a good source of protein, minerals, vitamin D, and iodine that promote a healthy body and balanced nutrition. In Bangladesh shrimp is referred to as white gold. It ...
  • A Systematic Analysis for Machine Learning Based Cow Price Prediction 

    Alam, A.K.M. Tasnim; Nirob, Zahid Hasan; Urme, Afrin Jahan; Rahman, Afroza; Hridoy, Rashidul Hasan; Habib, Md. Tarek; Ahmed, Farruk (Independent University, Bangladesh, 2023-07)
    Cow meets a significant number of demands for meats in South Asian countries, and a huge number of cows were sold in Bangladesh on the eve of Eid al-Adha. Cow prices depend on several factors, and determining the price of ...
  • Repercussion of Image Compression on Satellite Image Classification using Deep Learning Models 

    Hossain, Md. Junayed; Barkatullah, Mohammad; Monir, Md. Fahad; Ahmed, Tarem (Independent University, Bangladesh, 2023-08)
    Satellite image classification using Deep Learning (DL) algorithms is crucial for various applications such as Environmental Monitoring, Remote Sensing, and Urban Planning. The high-resolution nature of satellite images ...
  • IoT-based Salinity Detection Using Conductivity and Temperature for Developing Countries 

    Islam, Md Nakibul; Aiman, Umme; Chowdhury, Md Hana Sultan; Peyal, Md Mahmudul Kabir; Monir, Md. Fahad; Hasan, Mahady (Independent University, Bangladesh, 2023-08)
    For soil salinity management, crop selection, irrigation planning, environmental impact assessment, and the advancement of agricultural research and development, saltiness data collection in agriculture is essential. The ...
  • AI based Software Testing 

    Khan, Saquib Ali; Oshin, Nabilah Tabassum; Musfique, Md Masum; Nizam, Mahmuda; Ahmed, Ishtiaque; Hasan, Mahady (Independent University, Bangladesh, 2023-07)
    As the complexity of software applications continues to increase,software testing becomes more challenging and time-consuming.The use of artificialintelligence (AI) in software testing has emerged as a promising approach ...
  • A Study into The Limitations of CNN Recognition on Isolated Bengali Compound Characters 

    Zia, Tasnim; Datta, Ankur; Noor, Mohammad Raghib; Amin, M Ashraful; Ali, Amin Ahsan; Rahman, A K M Mahbubur (Independent University, Bangladesh, 2023-07)
    There are over 265 million Bangla native and non-native speakers, however, the advancements in Bangla Optical Character Recognition is falling behind when compared with other languages because of a broader set of complex ...

View more


Copyright © 2002-2021  IUB Academic Repository.
Maintained by  Library Information Technology (LIT)
LIT