Faculty of Science and Information Technology: Recent submissions

  • Bangla News Article Categorization Using Machine Learning 
    Haque, MD Al Shahriar; Shawda, Umme (Daffodil International University, 23-02-12)
    Bangla language got familiar many years ago in the world and Many online Bangla news portals are growing day by day. We can get news within a few seconds with their help of them. Some media are telecasting news by live ...
  • Crime Rate Analysis Using Machine Learning Technique 
    Tasnim, Jerin; Rahman, Nadia (Daffodil International University, 23-02-12)
    A method for methodically detecting crime, analyzing crime patterns, and anticipating crime trends is crime analysis. The information gleaned from machine learning is of great use to police officers and can be applied to ...
  • A Survey on Applications of Cloud Computing in Education Sector Considering COVID-19 Perspective 
    Chowdhury, by Prity Lata (Daffodil International University, 23-02-18)
    The current coronavirus (COVID-19) has had a profound effect on the delivery method of education around the world, affecting the majority of countries in a very aggressive approach. Many educational institutions are ...
  • Evaluating Machine Learning Algorithms for Heart Disease Prediction 
    Islam, MD. Sofiqul; Shiblee, Shah Moazzam Hossen (Daffodil International University, 23-02-18)
    One of the significant motives of death globally is a heart-attack. Heart-attack detection early on can save lives. In this exploration, we mention a predictive machine learning algorithm of heart attack. The algorithm ...
  • An Automated CNN Model Based Approach for Apple Leaf Disease Detection 
    Nazneen, Nafisa; Tahera, Khadija Tut (Daffodil International University, 23-02-08)
    This study presents a deep learning approach for the detection of diseases in apple leaves. The method utilizes convolutional neural networks (CNNs) to classify apple leaf images into diseased and healthy categories. The ...
  • A Transfer Learning Based Approach To Detect Rotten Dragon Fruits 
    Khanom, Jakia; Taher, Abu (Daffodil International University, 23-02-18)
    Transfer learning is a promising approach for improving the accuracy of detection of rotten dragon fruits. In this paper, a transfer learning-based approach is proposed for detecting rotten dragon fruits using images of ...
  • The Impact of Information Technology on Inventory Management in Retail Super Stores in Bangladesh 
    Mithu, MD. Tanvir Ahmed (Daffodil International University, 23-02-12)
    The retail super store in Bangladesh implement the Information Technology to maintain the inventory management play as an important tool for the purpose of enhancing the efficiency of supply chain management practices and ...
  • A Study on the Recruitment & Selection Process of Dutchbangla Bank Limited 
    Hayder, MD Ali (Daffodil International University, 23-02-18)
    Adopting a multi-level research approach, this study aims to investigate the recruitment and selection process of DBBL The study follows a quantitative method. Data we collected through a self-administered questionnaire ...
  • A Study on the Lean Manufacturing Systems Practice in Bangladesh and Kaizen Implementation 
    Rahman, MD Aminur (Daffodil International University, 23-02-12)
    Lean Manufacturing systems have overcome the perception of being another management fantasy. An increasing number of organizations in developing countries are implementing lean production systems in order to generate ...
  • A Study on the Implementation of Marketing Decision Support System 
    Mandal, Pulak (Daffodil International University, 23-02-18)
    Every organization is affected by the unstable economy. Tax, cost, competitive, human, and financial pressures besiege it from all sides. Today's new tendencies of globalization, privatization, and liberalization have ...
  • Weka vs Rapid Miner: A Performance Analysis of Data Mining Classification Techniques on Health Data 
    Islam, Tonima; Sharna, Ilma Akter (Daffodil International University, 23-02-18)
    The term "data mining" is helpful since it simplifies the process of looking through and analyzing a large amount of data to find information that is important and confidential. Academics have recently shown a rising ...
  • A Smart Approach for Detecting Email Spam Text Detection 
    Smritee, Farhana Akter; Sunny, Ahmed Zubayer; Al Mahadi, Sayem (Daffodil International University, 23-02-18)
    In practically every industry today, from business to education, emails are used. Ham and spam are the two subcategories of emails. Email spam, often known as junk email or unwelcome email, is a kind of email that can be ...
  • Complaint Submission System: An Android App 
    Ahad, Abdul (Daffodil International University, 23-02-18)
    This app is mainly for the students of universities and the university authorities to solve the basic problems they face in daily life and to make life easy for everyone. In the universities, the students faces many types ...
  • "Flex Lab" – A Web Application 
    Al Imran, Asadullah; Shovo, Koushik Nag; Roy, Bipro (Daffodil International University, 23-02-12)
    Flex Lab is a web application made to help freelancers find and sell their services and products online. The platform aims to make it easy for freelancers to sell their digital products and skills and for buyers to find ...
  • Machine Learning Techniques for Deleting Human Depression Using Social Media Data 
    Iqbal, Nafis; Jahan, Israt (Daffodil International University, 23-02-12)
    Depression is one of the most serious issue among human civilization in modern time. It is one of the well-known mental health issues in this era. In this paper we worked on this metal health issue known as depression. ...
  • Ghor Chai: A Smart Solution for Renting and Buying Houses 
    Fahim, MD. Jishanul Ahasan; Hasan, Anik; Billah, Kazi Masum (Daffodil International University, 23-02-12)
    In This project, we have built an amazing android app called GHOR CHAI. We have created an app, where people can easily find house when they shift their houses or go to a new place. In this app they can search house, they ...
  • Vision-Based Real Time Bangla Sign Language Recognition System Using MediaPipe Holistic and LSTM 
    Sajal, Sk. Estiaque Ahmed; Foysol, Md. Walid (Daffodil International University, 23-02-13)
    Bangla Sign Language Detection system converts the Bangla sign language into text, so that deaf-mute people can communicate with ordinary people. Deaf-mute people are quite detached from society because there is a ...
  • Detection of Brain Tumor Using Machine Learning Approaches 
    Miah, Md. Nahid; Alam, Fazlul (Daffodil International University, 23-02-12)
    Brain tumor is a very panic issue because many people have died from this problem. Early detection of brain tumors can save many lives. Magnetic resonance imaging (MRI) is more effective than any other technique. In this ...
  • Detection of Monkey pox Disease Using Computer Vision-Based Transfer Learning Models: A Comparative Study 
    Rahman, MD Mizanur; Nahiduzzaman, Md. (Daffodil International University, 23-02-13)
    The world is now concern about monkey pox where the world is still infected by the deadly covid-19 virus. Monkey pox is not as infectious as covid-19 but it is a contagious disease. Monkey pox cases are being reported in ...
  • Customer Churn Prediction with Machine Learning Approaches 
    Borson, Prattoy Paul; Tahsin, Anika (Daffodil International University, 23-02-12)
    Customer churn prediction is a critical task for many industries, such as telecommunications, banking, and e-commerce. This paper presents a comprehensive survey of customer churn prediction methods, which are typically ...

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