DSpace Repository

Browsing by Title

Browsing by Title

Sort by: Order: Results:

  • Predicting Sleep Disturbance During Covid-19 in Bangladesh 
    Quais, Imrul (©Daffodil International University, 2022-01-27)
    The COVID-19 virus is now considered a hot topic among researchers around the world. Globally, the COVID-19 pandemic has had a serious impact on human life since it began. As a result of this virus, sleeping patterns ...
  • Predicting Stress Level in Online Education Due to Coronavirus Pandemic 
    Siddique, Sunzida; Baidya, Sajal (Daffodil International University, 2021-06)
    Education is one of the basic humans needs it is referred to as a country's backbone. Nowadays, Smart education technology has made the entire world smarter by the day. In just a few months, The Novel coronavirus (covid-19) ...
  • Predicting Student Performance to Reduce Dropout Using J48 Decision Tree Algorithm 
    Hasan, Md. Zahidul (Daffodil International University, 2019-12-06)
    Student dropout is a major problem that faces most of the Private University of Bangladesh. In Bangladesh, a huge number of student studies in private universities. But, almost one-third of students are dropped out in ...
  • Predicting Students 
    Zulfiker, Md. Sabab; Kabir, Nasrin; Biswas, Al Amin; Chakraborty, Partha; Rahman, Md. Mahfujur (Scopus, 2020)
    Every year thousands of students get admitted into different universities in Bangladesh. Among them, a large number of students complete their graduation with low scoring results which affect their careers. By predicting ...
  • Predicting Students' Intention To Continue Business Courses on Online Platforms During the COVID-19 
    Unknown author (Scopus, 22-09-22)
    The objective of this study was to analyze the intention of a University's business department students to continue their studies on e-learning platforms during the ongoing COVID-19 pandemic. To this end, a questionnaire ...
  • Predicting Suicidal Behavior Due to COVID-19 
    Rakibuzzaman, MD. (Daffodil International University, 2022-02-20)
    Covid-19 has been a major worry over the world in recent years. At the time of this epidemic, psychological problems as well as suicidal issues are being noticed among the people. The main research of this paper will be ...
  • Predicting the Appropriate Category of Bangla and English Books for Online Book Store Using Deep Learning 
    Islam, Md. Majedul; Khushbu, Sharun Akter; Islam, Md. Sanzidul (Scopus, 2021)
    At the era of this technology, we are seeking every stuff online first. Book was the best friend to us, still, it is. But this changed the way and medium by which we are being engaged with the book. Nowadays bookselling ...
  • Predicting the Appropriate Mode of Childbirth using Machine Learning Algorithm 
    Kowsher, Md.; Tahabilder, Anik; Prottasha, Nusrat Jahan; Rakib, Md. Abdur-; Alam, Md. Shameem; Habib, Kaiser (Scopus, 2021)
    —A woman's satisfaction with childbirth may have immediate and long-term effects on her health as well as on the relationship with her newborn child. The mode of baby delivery is genuinely vital to a delivery patient and ...
  • Predicting the Death of Road Accidents in Bangladesh Using Artificial Neural Network 
    Eti, Mst.Sinhanaznin (©Daffodil International University, 2022-02-05)
    Road accidents are now a common occurrence in our country. Road accidents are increasing by leaps and bounds in Bangladesh every day. Every day countless people are losing their lives in road accidents. The effect of a ...
  • Predicting the Death of Road Accidents in Bangladesh Using Machine Learning Algorithms 
    Siddik, Md. Abu Bakkar; Arman, Md. Shohel; Hasan, Afia; Jahan, Mahmuda Rawnak; Islam, Majharul; Biplob, Khalid Been Badruzzaman (Scopus, 2021)
    Road accidents are now a common occurrence in our country. Every year thousands of people die in these accidents and thousands of people are crippled and cursed. Recently the level of road accidents has increased drastically. ...
  • Predicting the Depression Level of Excessive Use of Mobile Phone 
    Salehin, Imrus; Talha, Iftakhar Mohammad (Daffodil International University, 2021-05-31)
    In this research titled “Predicting the Depression Level of Excessive Use of Mobile Phone: Using Machine Learning Algorithm” which is applied advanced machine learning and regression analysis to find out the depression ...
  • Predicting the Enrollment and Dropout of Students in the Post-graduation Degree Using Machine Learning Classifier 
    Biswas, Al Amin; Majumder, Anup; Mia, Md. Jueal; Nowrin, Itisha; Ritu, Nadia Afrin (International Journal of Innovative Technology and Exploring Engineering, Blue Eyes Intelligence Engineering & Sciences Publication, 2019-09-08)
    Nowadays, In Bangladesh, the dropout rate at post-graduation level or incompletion of the post-graduation degree is considered as a serious problem in the education sector. This work can be used to support for identifying ...
  • Predicting the Intention and Adoption of Near Field Communication Mobile Payment 
    Malarvizhi, Chinnasamy Agamudainambi; Al Mamun, Abdullah; Jayashree, Sreenivasan; Naznen, Farzana; Abir, Tanvir (Daffodil International University, 2022-04-08)
    With the increasing use of mobile devices and new technologies, electronic payments, such as near field communication (NFC) mobile payments, are gaining traction and gradually replacing the currency-based cash payment ...
  • Predicting the Mental Health of Rural Bangladeshi Children in Coronavirus Disease 2019 
    Moon, Nazmun Nessa; Hossain, Refath Ara; Jahan, Israt; Shakil, Shahriar; Uddin, Shihab; Hassan, Mahmudul; Nu, Fernaz Narin (Daffodil International University, 22-06-18)
    The novel coronavirus disease 2019 (COVID-19) current pandemic is a worldwide health emergency like no other. It is not the only COVID-19 infection in infants, children, and adolescents that is causing concern among their ...
  • Predicting the satisfaction level of mobile banking users of Bangladesh from social media sites using machine learning 
    Razzak, Shoaba (Daffodil International University, 2024-01-24)
    The research focuses on the prediction of customer satisfaction in the mobile banking industry in Bangladesh, using social media data collected with Google Forms. The 2608- entry dataset categorizes target attributes as ...
  • Predicting Tourist Spot by Using Machine Learning Approach 
    Roy, Pranta; Yeasmin, Farjana; Binti, Most Afrin Nahar (Daffodil International University, 2022-01-04)
    Tourism plays significant role for enhancing economic potential worldwide. The natural beauty and historical interests of Bangladesh remarked as a major tourist destination for the international tourists. In this study, ...
  • Predicting Water Pollution Caused by Glass Particles Using Machine Learning Techniques 
    Reyad, Md. Monir Hossain; Siddiki, Sabbir; Ahmed, Md. Kawshik (Daffodil International University, 23-01-29)
    Water is polluting with different glass particles in Bangladesh. Most of the glass manufacturing industries through their wastage in the river. Because of the indiscriminate release of some industrial, domestic, and ...
  • Prediction and Analysis of Flat Price in Dhaka Using Advanced Regression Techniques 
    Rafi, Fathe Muhammad (Daffodil International University, 23-01-18)
    Prediction of flat costs could be a crucial space of realty. The literature tries to extract relevant info from historical real estate market data. So as to seek out models that are useful to flat patrons and sellers, ...
  • A Prediction Approach of Being Addicted to Drugs using Machine Learning 
    Fahim, Md. Tasnim Alam (Daffodil International University, 2022-03-30)
    Drug addiction is the incapability to refrain from consuming a legal or illegal chemical, drug, activity, or substance despite harmful consequences. It can lead to a comprehensive range of complications that harm personal ...
  • A Prediction Approach of Being Addicted to Drugs Using Machine Learning 
    Fahim, Md. Tasnim Alam (Daffodil International University, 2022)
    Drug addiction is the incapability to refrain from consuming a legal or illegal chemical, drug, activity, or substance despite harmful consequences. It can lead to a comprehensive range of complications that harm personal ...

Search DSpace

Browse

My Account