DIU Institutional Repository: Recent submissions

  • Prediction of Typhoid Using Machine Learning and ANN Prior to Clinical Test 
    Bhuiyan, Md. Atik; Rad, Sharaf Shahariare; Johora, Fatema Tuj; Islam, Abdullah; Hossain, Md Ismail; Khan, Aliza Ahmed (IEEE, 2023-05-24)
    One of the most prevalent illnesses, typhoid causes a large number of fatalities each year, primarily in Africa. A quick and accurate diagnosis is essential in the medical sector. Self-medication, delayed diagnosis, a lack ...
  • Prediction of COVID-19 Using Machine Learning and Deep Learning Approaches: A Data Driven Study 
    Akhter, Thanzina; Barua, Labannya; Sultana, Mahmuda; Masum, Abdul Kadar Muhammad (IEEE, 2023-10-27)
    COVID-19 is generated by the SARS-CoV2 virus, which has caused an outbreak around the world. Since 2020, it has been labeled a pandemic. Due to the daily growth in the number of cases, this takes time for demonstrating the ...
  • Prediction of Breast Cancer using Traditional and Ensemble Technique: A Machine Learning Approach 
    Islam, Tamanna; Akhi, Amatul Bushra; Akter, Farzana; Hasan, Md. Najmul; Lata, Munira Akter (Science and Information Ogranization, 2023-01-15)
    Breast cancer is a prevalent and potentially life-threatening disease that affects millions of individuals worldwide. Early detection plays a crucial role in improving patient outcomes and increasing the chances of survival. ...
  • Predicting the Level of Safety Feeling of Bangladeshi Internet users using Data Mining and Machine Learning 
    Alam, Md. Safiul; Roy, Anirban; Majumder, Partha Protim; Khushbu, Sharun Akter (Science and Information Ogranization, 2023-01-15)
    An amazing combination of cutting-edge data mining and machine learning methodologies to predict the level of safety feeling among Bangladeshi internet users, which is a significant departure in this subject. By leveraging ...
  • Predicting User Perception Regarding Usefulness of Google Classroom Through Machine Learning Algorithms 
    Khan, Emran; Akter, Afroza; Prity, Sabrina Sultana; Rahman, Fahim Ur (IEEE, 2023-11-23)
    To investigate the attitudes of the students at the tertiary level of different institutes towards using google classroom as a convenient online platform for learning the English Language, especially contemplating reading ...
  • Predicting Sugarcane Yields using Supervised Learning: A Comparative Study 
    Papon, Parvez Ahmed; Rahman, Md Mahfuzur; Ahamed, Shafin; Mamun, Shahriar; Mehadi, Md Zahirul Islam; Polin, Johora Akter (IEEE, 2023-12-23)
    Bangladesh's sole source of white sugar is sugarcane, an agricultural commodity used to produce biofuels and other products. In recent years, ML techniques have been used to forecast yield, with encouraging outcomes. In ...
  • Predicting Saving Intention and Behavior Among University Students Using Partial Least Square Structural Equation Modelling 
    Rhu, Ng Xin; Yian, Chong Tiang; Zainol, Noor Raihani; Abi, Tanvir; Mamun, Abdullah Al; Salameh, Anas A. (Springer Nature, 2022-07-08)
    In Malaysia, many university students have different views on saving management based on different factors. Therefore, this study aims to examine the intention and behaviours towards saving among Malaysian students. A ...
  • Predicting Public Willingness to Use Autonomous Shuttles: Evidence from an Emerging Economy 
    Liew, Ying Wei; Vafaei-Zadeh, Ali; Ramayah, Thurasamy (SAGE Publications, 2023-08-28)
    The purpose of this paper is to investigate the public’s willingness to adopt autonomous shuttles for public transport. This study proposes a research framework to explain people’s adoption intentions. Therefore, this study ...
  • Predicting Bangladesh Life Expectancy Using Multiple Depend Features and Regression Models 
    Jannat, Fatema Tuj; Biplob, Khalid Been Md. Badruzzaman; Bitto, Abu Kowshir (Springer Nature, 2023-05-16)
    The average longevity of a person is measured by life expectancy. The length of one's life is determined by several factors. In this study, we utilized GDP, rural population growth, urban population growth, services value, ...
  • PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors 
    Mia, Md. Rajib; Rahman, Md. Ashikur; Ali, Md. Mamun; Ahmed, Kawsar; Bui, Francis M.; Mahmud, S M Hasan (Springer Nature, 2023-06-11)
    Chronic Kidney Disease (CKD) is major concern of death in recent years that can be cured by early treatment and proper supervision. But early detection of CKD and exact risk factors should be known to ensure proper treatment. ...
  • Potential Candidates From Marine and Terrestrial Resources Targeting Mitochondrial Inhibition 
    Mitra, Saikat; Rauf, Abdur; Sutradhar, Hriday; Sadaf, Samia; Hossain, Md. Jamal; Soma, Mahfuza Afroz; Emran, Talha Bin; Ahmad, Bashir; Aljohani, Abdullah S.M.; Abdulmonem, Waleed Al; Thiruvengadam, Muthu (Elsevier, 2023-02-15)
    Mitochondria are the target sites for multiple disease manifestations, for which it is appealing to researchers' attention for advanced pharmacological interventions. Mitochondrial inhibitors from natural sources are of ...
  • Predicting Participants’ Performance in Programming Contests Using Deep Learning Techniques 
    Rahman, Md. Mahbubur; Das, Badhan Chandra; Biswas, Al Amin; Anwar, Md. Musfique (Tech Science Press, 2023-02-11)
    " In recent days, the number of technology enthusiasts is increasing day by day with the prevalence of technological products and easy access to the internet. Similarly, the amount of people working behind this rapid ...
  • Face Recognition Based Attendance System Using Deep Learning Algorithm 
    Ferdous, Razayonoor Rahman (Daffodil International University, 2024-01-24)
    The Face Recognition Based Attendance System is an innovative advancement in attendance tracking, combining cutting-edge facial recognition technology with previously established methods. This system provides an effortless, ...
  • Classification of bird species using deep learning" 
    Apu, Md Sharifuzzaman (Daffodil International University, 2024-01-24)
    Many bird species are rare to find these days, and even when they are, it might be difficult to classify them. For example, birds have different sizes, shapes, and colors depending on the situation, and they also have ...
  • Iot based fish farming and monitoring system 
    Summum, Reafat (Daffodil International University, 2024-01-01)
    Current human population is 7.8 million and the growth rate is around 1.05% per year hence food demand is also increasing accordingly. Globally 155 million tons of fish production is consumed by humans. Fish for human ...
  • Predicting BPL Match Winners: An Empirical Study Using Machine Learning Approach 
    Adhikari, Bornita; Ahamed, Md. Sazzadur (IEEE, 2023-11-23)
    With the evolution of computer science, every company is implementing the newest technologies to survive in market with better decision-making capabilities, better communication and customer satisfaction. The only means ...
  • Pre and Present COVID-19 Situation: A Framework of Educational Transformation in South Asia RegionPre and Present COVID-19 Situation 
    Khan, Sunjida; Zayed, Nurul Mohammad; Darwish, Saad; Nitsenko, Vitalii; Islam, K. M. Anwarul; Hassan, Md. Arif; Dubrova, Oksana (Wolters Kluwer Health, Inc, 2023-02-15)
    "This study is designed to support the development of strategies to recover from the disrupted impact of COVID-19 on HE institutes of the South Asian Region (SAR), as the nations in this region are severely cursed by poverty ...
  • Potential of Nanoemulsions for Accelerated Wound Healing: Innovative Strategies 
    Chhabra, Jatin; Chopra, Hitesh; Pahwa, Rakesh; Raina, Neha; Wadhwa, Karan; Saini, Swati; Negi, Poonam; Gupta, Madhu; Singh, Inderbir; Dureja, Harish; Emran, Talha Bin (Wolters Kluwer Health, Inc, 2023-05-09)
    Wounds represent various significant health concerns for patients and also contribute major costs to healthcare systems. Wound healing comprises of overlapped and various coordinated steps such as homeostasis, inflammation, ...
  • Potential Benefits and Therapeutic Applications of "Panchgavya" Therapy (Cowpathy) for Human and Animal Health 
    Arun, Varada; Anil, Adita; Shajini, Baby; Krishnan, Deepika; Dev, Bhadra S.; R, Akhil P.; Anil, Krishnapriya N; Ganesh, Sravan; S., Prithvi; K., Ravikumar; Chakraborty, Sandip; Chopra, Hitesh; Akash, Shopnil; Amin, Ruhul; Dey, Abhijit; Sharma, Anil K.; Alagawany, Mahmoud; Dhama, Kuldeep; Chandran, Deepak (Experimental Biology and Agricultural Sciences, 2023-06-30)
    Positive results have been seen when bioactive components from herbal plants are added to poultry diets. Efficacy in feeding, digestion of nutrients, antioxidant health, immunological indices, and other factors can all be ...
  • Smart e-commerce shop 
    Panday, Bijeyendra Prosad (Daffodil International University, 2023-12-22)
    Revolutionizing the landscape of online retail, this e-commerce venture sets itself apart by redefining the very essence of digital product selling. Offering a sophisticated platform, it seamlessly integrates cutting-edge ...

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