DIU Faculty Publication: Recent submissions

  • Artificial Intelligence of Things (AIoT) Technologies and Applications 
    Sung, Tien-Wen; Tsai, Pei-Wei; Gaber, Tarek; Lee, Chao-Yang (Scopus, 2021-08-15)
    AIoT (Artificial Intelligence of Things) is a relatively new term that has recently become a hot topic that combines two of the hottest acronyms, AI (Artificial Intelligence) and IoT (Internet of Things). IoT consists of ...
  • Architectural design and affecting factors of MXene-based textronics for real-world application 
    Repon, Md. Reazuddin; Mikučionienė, Daiva; Paul, Tamal Krishna; Humaidi, Jehan Y. Al-; Rahman, Mohammed M.; Islam, Tarekul; Shukhratov, Sharof (Scopus, 2024)
    Today, textile-based wearable electronic devices (textronics) have been developed by taking advantage of nanotechnology and textile substrates. Textile substrates offer flexibility, air permeability, breathability, and ...
  • A Proposed Model for Embracing Digital Horizons: Exploring Patient-Centric Wearable Healthcare Technology 
    Yeo, Sook Fern; Tan, Cheng Ling; Lim, Kah Boon; Khan, Mohammad Tariqul Islam; Chelvarayan, Anushia; Ali, Mohd Helmi; Hendayani, Ratih (Scopus, 2024-04-10)
    The aims of this study were to examine the influential factors on the intention to accept healthcare wearables among Malaysians. This study situates itself within the realm of technology acceptance, particularly focusing ...
  • A Novel Extendable MLI Topology on Minimizing Number of Switches 
    Rahman, Ubaidur; Haque, Iftekhar; Roychoudhury, Srimanti (Scopus, 2024-04-04)
    An essential factor in modern power electronics applications involves the use of a power converter that combines efficiency with affordability. The advancement of mature medium-power self-converting switching devices has ...
  • A Novel Approach to Select an Optimal Text Compression Method Based on Application 
    Rahman, Md. Atiqur; Nirob, Md. Asraful Sharker; Akter, Mashreka; Ayan, Mariyam Bin; Payel, Israt Jahan (Scopus, 2024)
    Substantial amounts of text data are now produced on many platforms, especially via social media and in various industries. These data are challenging to store on a local computer or to send over the internet. Compression ...
  • Predicting Pancreatic Cancer Survival and Staging: A Machine Learning Approach 
    Hasan, Md Umaid; Khan, Faria Nishat; Jahan, Hasnur; Zaman, Zahura; Mizanur Rahman, Md (2024-12-19)
    Pancreatic cancer, it is known as one of the most aggressive one among cancers due to its sudden progression and hard to treat manner. The insidious characteristic of pancreatic cancer is known to be the main reason behind ...
  • 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, ...

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