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Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • 3D Reconstruction of Colonic Polyps: A Methodology for Improved Visualization and Analysis 
    Ahmed, Ishtiaque; Hamim, Md. Saimim Islam Khan (Daffodil International University, 2025-05-14)
    Colorectal cancer is one of the most common and life-threatening diseases worldwide, and colonoscopy remains the most effective method for early detection and removal of precancerous polyps from the human colon. However, ...
  • Accidental prone area detection in Dhaka Metropolitan City using machine learning models 
    Jerin, Foyjunnesa (Daffodil International University, 2024-01-01)
    Dhaka, known for its status as one of the world's most densely populated areas, grapples with numerous challenges associated with urbanization and safety. This study focuses on identifying accident-prone zones within the ...
  • Accidental prone area detection in Dhaka metropolitan city using machine learning models 
    Jerin, Foyjunnesa (Daffodil International University, 2024-01-25)
    Dhaka, known for its status as one of the world's most densely populated areas, grapples with numerous challenges associated with urbanization and safety. This study focuses on identifying accident-prone zones within the ...
  • Ad Click Prediction Using Machine Learning 
    Redoy, Abdullah All Mamun (2025-09-17)
    The rapid growth of programmatic advertising has made click-through rate (CTR) prediction a cornerstone for optimizing digital marketing spend and enhancing user experience. Accurately forecasting which ad impressions will ...
  • Adaptive Machine Learning Techniques for Real-Time DDoS Attack Identification and Mitigation 
    Chowdhury, Md Nahid Hasan; Khan, Sadman (Daffodil International University, 2025-05-14)
    DDoS or Distributed Denial of Service attacks are primary concern for network security, inundating victims with botnet-generated traffic to render them largely inoperable. This work explores how to utilize machine learning ...
  • Addressing Behavioural Patterns of LateNight Sleepers Using a Supervised Learning Approach 
    Supto, Neloy Pramanik; Chowdhury, Rajat (Daffodil International University, 2025-09-16)
    Issues related to Sleep have become a big problem among all age Groups, As It leads to long-term physical and mental health problems. This research aims to classify medical conditions according to sleep patterns and ...
  • Adhd prediction using machine learning algorithms 
    Saniat, Sadnam (Daffodil International University, 2024-07-13)
    This study analyzes the use of machine learning algorithms to predict Attention Deficit Hyperactivity Disorder (ADHD) based on a number of feature sets. A dataset from online containing demographic information, personality ...
  • Advancing sentiment analysis in Bengali: 
    Al Masud, Abdullah (Daffodil International University, 2024-01-22)
    This paper presents a comprehensive study on sentiment analysis in the Bengali language, focusing on user-generated comments from online shopping websites. Despite the significant number of Bengali speakers worldwide, ...
  • Advancing sentiment analysis in Bengali: bridging linguistic gaps in NPL with machine and deep learning models 
    Al Masud, Abdullah (Daffodil International University, 2024-01-01)
    This paper presents a comprehensive study on sentiment analysis in the Bengali language, focusing on user-generated comments from online shopping websites. Despite the significant number of Bengali speakers worldwide, ...
  • Ai studio 
    Pritom, Sondipon Paul (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-01-21)
    AI Studio is an integrated work-environment, Learning Management System, as well as a Creative Cloud that has been developed to change the way people work, learn, and create with the help of AI. It showcases and combines ...
  • AI-Based Medical Diagnosis System for Disease Prediction Using Symtomps 
    Mahtab, Tahmid (Daffodil International University, 2025-09-17)
    Artificial Intelligence (AI) and Machine Learning (ML) have become a prominent part of changing the healthcare sector in the modern world. Machine learning algorithms assist in early detection of diseases by providing an ...
  • AI-Driven Bone Fracture Detection: Leveraging Image Processing and Machine Learning on X-ray Images 
    Emon, Mir Md. Asif Jahan; Tisha, Esrat Jahan (Daffodil International University, 2024-07-14)
    This study, titled "AI-Driven Bone Fracture Detection: Leveraging Image Processing and Machine Learning on X-ray Images," embarks on enhancing the accuracy and efficiency of diagnosing bone fractures using advanced AI ...
  • AI-Driven Job Recommendation System for Underprivileged Communities in Bangladesh 
    Sakib, Mottakin Ahmed (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-06-24)
    The entire findings of my proposal, "AI-Driven Job Recommendation System for Underprivileged Communities in Bangladesh," may be read here. This article covers all of the procedures involved in turning the concept into a ...
  • AI-Driven Prediction of Seedling Growth in Different Soil Media Using Machine Learning 
    Sen, Akash; Jerin, Rokeya Ahsan (Daffodil International University, 2025-09-17)
    This work offers a data intensive framework for assessing seedling growth in various soil media by predicting plant performance from key environmental conditions. The farming yields are hampered by poor utilization of data ...
  • Alzheimer Disease Detection from MRI Images using Deep Learning Techniques 
    Ali, Mohammad Yusuf; Ryan, Md Abu (Daffodil International University, 2024-07-14)
    The early detection of Alzheimer’s disease (AD) is crucial for effective interventionand management. This study explores the application of deep learning techniques toclassify MRI images into three categories: mild demented, ...
  • An Analysis of Parkinson Disease Prediction Using Machine Learning Approaches 
    Biplab, Ekramul Kabir; Trishna, Surovi Akter (Daffodil International University, 2019-05-11)
    Objective: The main goal of the study isto inspect the performance of three Supervised algorithms for improving the Parkinson disease diagnosis by detection. Methods: We used three machine learning techniques for the ...
  • Analysis of Reusability of Used Clothes Using Machine Learning Algorithms 
    Rubel, Md. Salauddin (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-01-28)
    With $45 billion in apparel exports in 2022, Bangladesh is the second-ranked country in the world for apparel exports also the second largest producer of textile waste. The Bangladeshi apparel sector is expected to generate ...
  • An Analysis on Breast Disease Prediction Using Machine Learning Approaches 
    Shamrat, F. M. Javed Mehedi; Raihan, Md. Abu; Rahman, A.K.M. Sazzadur; Mahmud, Imran; Akter, Rozina (International Journal of Scientific and Technology Research, 2020)
    The central aspect of this study is to evaluate the different Machine learning classifier's performance for the prediction of breast cancer disease. In this work, we have used six supervised classification techniques for ...
  • Analyzing Social Media Impact on Gen Z and Gen Alpha Well-being Using Machine Learning and NLP Techniques 
    Islam, Mahmuda (Daffodil International University, 2025-09-16)
    The rapid advancement of the digital world has greatly changed how younger generation communicate, learn, and see their place in society. As Generation Z grows up and Generation Alpha enters school, it is important to ...
  • Android Malware Detection Using Machine Learning: 
    Araf, Ahnaf Tahmeed (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-29)
    The problem of Android malware detection in imperatively demanding conditions (i.e., an increasing number of applications are being developed at a fast pace as well as ever-growing threats) is investigated. In this article, ...

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