DIU Faculty Publication: Recent submissions

  • Predicting High Volatility Cryptocurrency Prices using Deep Learning 
    Ito, Tsutomu; Ikeda, Satoshi; Takei, Amane; Sakamoto, Makoto; Riajuliislam, Md; Shital, Sabrina Bari; Ito, Takao (2024-02-12)
    Even if you want to make a profit from cryptocurrency, you are worried that you will lose money, and it is difficult to afford it. There are a vast number of papers that study such unpredictable price fluctuations of ...
  • Predicting Diabetes in Women through Machine Learning 
    Hasan, Rakib; Islam, Muksitul; Hosen, Md. Mamun; Abdullah-Al-Kafi, Md; Radhakrishnan, Niranchana (2024-03-01)
    Diabetes, a predominant non-communicable illness, presents a significant worldwide open well-being concern with rising incidence rates and noteworthy mortality around the world. Timely determination is essential in moderating ...
  • Potential smart grid vulnerabilities to cyber attacks: Current threats and existing mitigation strategies 
    Paula, Bishowjit; Sarkera, Auvizit; Abhia, Sarafat Hussain; Dasa, Sajal Kumar; Firoj Alia, Md.; Islama, Md Manirul; Islama, Md. Robiul; Moyeena, Sumaya Ishrat; Badala, Md. Faisal Rahman; Ahameda, Md. Hafiz; Sarkera, Subrata Kumar; Dasa, Prangon; Hasana, Md. Mehedi; Saqib, Nazmus (2024-10-15)
    A novel concept in the realm of conventional electricity grids, known as the “smart grid,” has emerged to explore the most effective methods for integrating green and renewable energy sources. By leveraging existing ...
  • Polyphenols Targeting MAP Kinase Signaling Pathway in Neurological Diseases: Understanding Molecular Mechanisms and Therapeutic Targets 
    Islam, Fahadul; Roy, Sumon; Zehravi, Mehrukh; Paul, Shyamjit; Sutradhar, Hriday; Yaidikar, Lavanya; Kumar, B Raj; Dogiparthi, Lakshman Kumar; Prema, S; Nainu, Firzan; Bin Emran, Talha; Rab, Safia Obaidur; Doukani, Koula (2024-05-24)
    Polyphenols are a class of secondary metabolic products found in plants that have been extensively studied for how well they regulate biological processes, such as the proliferation of cells, autophagy, and apoptosis. The ...
  • Polyphenols as Therapeutics in Respiratory Diseases: Moving from Preclinical Evidence to Potential Clinical Applications 
    Bin Emran, Talha; Eva, Taslima Akter; Zehravi, Mehrukh; Islam, Fahadul; Khan, Jishan; Kareemulla, Shaik; Venkata Arjun, Uppuluri Varuna Naga; Balakrishnan, Anitha; Taru, Poonam Popatrao; Nainu, Firzan; Salim, Emil; Rab, Safia Obaidur; H Nafady, Mohamed; Wilairatana, Polrat; Park, Moon Nyeo; Kim, Bonglee (2024-06-03)
    Respiratory diseases are the most common and severe health complication and a leading cause of death worldwide. Despite breakthroughs in diagnosis and treatment, few safe and effective therapeutics have been reported. ...
  • Pioneering biosensor approaches for oral squamous cell carcinoma diagnosis: A comprehensive review 
    Teow, Jun Yao; Zhang, Qinyi; Zainal Abidin, Syafiq Asnawi; Tan, Chuey Chuan; Nur Syed Abdul Rahman, Syarifah; Karsani, Saiful Anuar; Othman, Iekhsan; Chen, Yeng; Lakshmipriya, Thangavel; C.B. Gopinath, Subash (2024-06-24)
    Oral squamous cell carcinoma (OSCC) remains a significant global challenge in the medical field, accounting for approximately 300,000 incidences and 145,000 mortalities annually. Studies suggest that early cancer detection ...
  • Physics Guided Neural Networks with Knowledge Graph 
    Gupta, Kishor Datta; Siddique, Sunzida; George, Roy; Kamal, Marufa; Rifat, Rakib Hossain; Haque, Mohd Ariful (2024-10-10)
    Over the past few decades, machine learning (ML) has demonstrated significant advancements in all areas of human existence. Machine learning and deep learning models rely heavily on data. Typically, basic machine learning ...
  • Perovskite materials in X-ray detection and imaging: recent progress, challenges, and future prospects 
    Miah, Md. Helal; Khandaker, Mayeen Uddin; Aminul Islam, Mohammad; Nur-E-Alam, Mohammad; Osman, Hamid; Ullah, Md. Habib (2024-06-15)
    Perovskite materials have attracted significant attention as innovative and efficient X-ray detectors owing to their unique properties compared to traditional X-ray detectors. Herein, chronologically, we present an in-depth ...
  • Peripheral Blood Smear Image-Based Blood Cancer Detection Using Transfer Learning 
    Shaha, Sonjoy Prosad; Datta, Sajeeb; Mahmud, Md. Nadim; Ahmad, Md. Hassan; Tuj Johora, Fatema; Rahman, Md. Atiqur (2024-03-30)
    The lymphatic, bone marrow, and blood systems are all affected by hematological malignancy, also known as blood cancer. Early detection is essential for improved blood medical care and better patient outcomes. In the recent ...
  • Performance Evaluation of YOLO Models for Detecting Bangladeshi License Plates 
    Ramit, Shahriar Sultan; Alo, Alaya Parvin; Shaqib, Sm; Khan, Sadman Sadik; Rupak, Afraz Ul Haque; Rahman, Md. Sadekur (2024-10-04)
    This research paper presents a comprehensive investigation into the effectiveness of YOLO (You Only Look Once) models, namely YOLOv5, YOLOv7, and YOLOv8, in the domain of Bangladeshi license plate detection. With the ...
  • Performance Analysis of LSTM and Bi-LSTM Model with Different Optimizers in Bangla Sentiment Analysis 
    Khan, Sadman Sadik; Mondal, Pronoy Kumar; Shaqib, Sm; Ahmed, Nayeem; Prova, Nuzhat Noor Islam; Sattar, Abdus (2024-11-04)
    Sentiment analysis, the computational study of opinions, emotions, and attitudes expressed in text, has become increasingly vital in understanding public perception across various domains. In the context of Bangla, a ...
  • Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis 
    Hasan, Md. Arid; Das, Shudipta; Anjum, Afiyat; Alam, Firoj; Anjum, Anika; Sarker, Avijit; Noori, Sheak Rashed Haider (Scopus, 2024)
    The rapid expansion of the digital world has propelled sentiment analysis into a critical tool across diverse sectors such as marketing, politics, customer service, and healthcare. While there have been significant ...
  • What Is the Most Effective Frictionless Method for Retracting Anterior Teeth When Using Buccal Fixed-Appliance Therapy? A Systematic Review 
    Kheshfeh, Mohammad Naem; Hajeer, Mohammad Younis; Hinnawi, Mhd Firas Al; Awawdeh, Mohammed Adel; Albalawi, Farraj; Alotaib, Ghada Serhan; Alam, Mohammad Khursheed; Zakaria, Ahmad Salim (Scopus, 2024)
    There are various techniques and designs for springs used in orthodontic treatment, including frictionless methods for closing spaces. However, there is limited explicit evidence to support the superiority of one method ...
  • Water, sanitation, and hygiene (WASH) practices in Africa: exploring the effects on public health and sustainable development plans 
    Okesanya, Olalekan John; Eshun, Gilbert; Ukoaka, Bonaventure Michael; Manirambona, Emery; Olabode, Olaleke Noah; Adesola, Adesola Ridwan Olamilekan; Okon, nibehe Ime; Jamil, Safayet; Singh, Amandeep; Prisno, Don Eliseo Lucero-; Ali, Habib Mohammad; Chowdhury, A. B. M. Alauddin (Scopus, 2024)
    Background Suboptimal water, sanitation, and hygiene (WASH) practices constitute a serious public health risk, affecting one-third of the world's population. Remarkable progress has been made to improve WASH; however, ...
  • Waste-to-Energy Integration Strategies in the Tourism Industry: Evidence of Bangladesh 
    Hasan, Md. Mehedi; Lina, Farhana Yeasmin; Talukder, Mohammad Badruddoza; Hossain, Md. Akram (Scopus, 2024)
    The Bangladesh tourism industry faces a growing challenge in waste management, which poses a threat to environmental and public health. Despite economic growth, Bangladesh struggles with managing solid waste, with traditional ...
  • Past, present and future impact of social media on health workers’ mental health: a text mining approach 
    Novera, Chowdhury Noushin; Connolly, Regina; Wanke, Peter; Rahman, Md. Azizur; Azad, Md. Abul Kalam (2023-01-17)
    The COVID-19 epidemic has brought attention to the variables that influence the mental health of health workers who are entrusted with nursing individuals. Despite the fact that many articles have examined the effects of ...
  • PAKE – PoS Tagger Augmented Keyword Extraction 
    Kohinoor, Md Saidur Rahman; Miah, Ayesha Loylus; Ali, Shah Fayez; Hossain, Md Sabir; Bijoy, Md. Hasan Imam; Sakib, Shadman (2024-12-19)
    The state-of-the-art techniques for automatic keyword extraction majorly deal with the collection of long documents. However, for several reasons, these do not provide satisfactory results for shorter lengths of documents. ...
  • Optimizing Vehicle Insurance Processing through Advanced Deep Learning Models 
    Khan, Sadman Sadik; Rupak, Afraz Ul Haque; Sadekur Rahman, Md. (2024-11-04)
    This paper presents a novel method for predicting insurance claims by utilizing artificial intelligence, specifically a deep learning model within the Convolutional Neural Network (CNN) framework. The purpose is to automate ...
  • Optimizing Cervical Cancer Prediction, Harnessing the Power of Machine Learning for Early Diagnosis 
    Hasan, Mahadi; Islam, Jahirul; Al Mamun, Miraz; Mim, Afrin Akter; Sultana, Sharmin; Sabuj, Md Sanowar Hossain (2024-07-10)
    Cervical cancer is one of the most widespread ovarian cancers in the world. It is linked up with multiple risk factors such as Sexually transmitted diseases, human papillomavirus and smoking. Death rate can be reduced if ...
  • Optimising e-Learning: Embracing Webex in Malaysian Universities for smarter campus learning 
    Shen Po, Tan Henna; Ling, Tan Cheng; Fern, Yeo Sook (2024-07-04)
    The recent pandemic has forced Malaysian universities to implement technological e-learning platforms to replace the physical classroom, encouraging a growing spur of online learning users. Webex by Cisco’s market share ...

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