DIU Faculty Publication: Recent submissions

  • Predicting Pre-Owned Bike Values with Machine Learning Techniques in Bangladesh 
    Ferdous, Kazi Hassanul; Arman, Md.Shohel; Ahmed, Kazi Rifat; Tasnim, Nusrat; Mahmud, Imran; Revathi, P. (Scopus, 2024)
    As the importance of sustainable practices in the automobile sector grows, it's critical to anticipate motorcycle prices and offerings. With so many variables to consider when buying a secondhand motorcycle-condition, ...
  • Indicators, Challenges and Strategies in Implementing Net-Zero Carbon Construction Projects 
    Abdullah, Azliza; Yusof, Liyana Mohamed; Rahman, Rahimi A. (2024-08-29)
    The global construction industry, responsible for over 10% of worldwide greenhouse gas emissions, particularly in carbon dioxide (CO2) from energy use, contributes a substantial 38% to global emissions. Unchecked emissions ...
  • AttNet: An Attention-Based BiGRU Network for Remaining Useful Life Prediction 
    Shakil, Ahsanul Haque; Orin, Mst. Afsana; Rahman, Mostafijur; Kabir, Md Alamgir (Scopus, 2024)
    Remaining Useful Life (RUL) prediction is crucial for prognostics and health management (PHM) in industrial applications, as it helps to reduce unexpected maintenance and downtime costs. This study introduces AttNet, an ...
  • A Systematic Review on Removal Efficiency of Heavy Metals from Yamuna Water 
    Sharma, Parul; Agarwal, Chhaya; Mishra, Rashmi; Mazumder, Avijit; Singh, Saurabh; Sharma, Ashwani; Azad, A. K. (Scopus, 2024)
    Yamuna River fulfils the water needs of various regions of North India. With the increasing level of pollution, the Yamuna River is declared as one of the polluted rivers in India. Numerous researches have reported the ...
  • A systematic review of the nexus between climate change and social media: present status, trends, and future challenges 
    Sultana, Bebe Chand; Prodhan, Md. Tabiur Rahman; Alam, Edris; Sohel, Md. Salman; Bari, A. B. M. Mainul; Pal, Subodh Chandra; Islam, Abu Reza Md. Towfiqul; Islam, Md. Kamrul (Scopus, 2024-10-14)
    : Social media and climate change are some of the most controversial issues of the 21st century. Despite numerous studies, our understanding of current social media trends, popular hot topics, and future challenges related ...
  • A Systematic Review and Meta-Analysis of the Prevalence of Dental Caries in the Permanent Teeth of Arab Children 
    Abutayyem, Huda; Alam, Mohammad Khursheed; Shayeb, Maher Al; Hashim, Raghad (Scopus, 2024-05-25)
    Despite the global prevalence of dental caries, there is a paucity of comprehensive data on the extent of this issue among children in the Arab region. This systematic review and meta-analysis aimed to evaluate the prevalence ...
  • A Study on Drug Addiction Prediction in Bangladeshi Universities Using Advanced Machine Learning Algorithms 
    Ray, Binota; Ayman, Umme; Akash, Md Atik Asif Khan; Khan, Nusrat; Chakraborty, Narayan Ranjan; Bijoy, Md. Hasan Imam (Scopus, 2024-12-19)
    Infection by alcohol and drugs has become one of the bigger dangers posed to the youth of Bangladesh, and responsible action on the part of society is called for in order to save these tender minds. In a bid to solve this ...
  • A Study of Machine Learning Techniques for Predictive Analysis of Suicidal Tendency Across Different Age Groups 
    Zumma, Md. Thoufiq; Rahaman, Md. Anikur; Muneem, Mohammad Abdul; Khan, Obyed Ullah; Prova, Nuzhat Noor Islam (Scopus, 2024-12-03)
    Suicide is a serious public health concern, and life-saving early identification and prevention are essential. When it comes to forecasting suicide, risk based on a variety of criteria and signs, machine learning algorithms ...
  • 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 ...

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