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Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • 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 ...
  • 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-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 ...
  • 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 ...
  • 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, ...
  • Anticipating Dengue: Advanced Machine Learning for Timely Epidemic Prediction 
    Ferdous, Jannatul; Rahman, Md. Arafat (Daffodil International University, 2024-07-24)
    This research is about finding better ways to predict and manage dengue outbreaks, a serious illness spread by mosquitoes. To enhance predictions, we are utilizing sophisticated machine learning methods and intelligent ...
  • Anxiety Disorder Detection Using Machine Learning Approach 
    Mim, Sharmin Sultana (Daffodil International University, 2024-01-01)
    The objective of this research is to tackle urgent problems in the early identification of Anxiety Disorder, specifically in Bangladesh. The country is renowned for its high prevalence of this mental disorder, which is ...
  • Anxiety disorder detection using machine learning approach 
    Mim, Sharmin Sultana (Daffodil International University, 2024-01-22)
    The objective of this research is to tackle urgent problems in the early identification of Anxiety Disorder, specifically in Bangladesh. The country is renowned for its high prevalence of this mental disorder, which is ...
  • Apartment Price Prediction of Bangladesh Using Machine Learning and Deep Learning Algorithms 
    Ahmed, Md. Mustak; Hossain, Mahjabeen (Daffodil International University, 2024-07-13)
    The overall aim of this study is to analyze the effectiveness of different machine learning and deep learning models for apartment price prediction in terms of their accuracy and error measures, so as to determine how ...
  • Arabic Alphabet and Surah Pronunciation Corrections Using Deep Learning 
    nahar, Faijun (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    The development of automatic speech recognition systems for Arabic presents unique challenges, particularly due to the complexities of Classical Arabic, which has been underrepresented in research. Proper pronunciation of ...
  • Automated Attendance System Based on Facial Recognition 
    Yasmin, Barira; Ahmed, Tanvir; Rabbi, Fazle (Daffodil International University, 2020-06-07)
    “AUTOMATED ATTENDANCE SYSTEM BASED ON FACIAL RECOGNITION”, is a Machine Learning project. This project basically without human assistance system that helps take attendance by recognizing trained students' real-time frontal ...
  • Automated grading of grapes fruits based on internal and external quality 
    Jony, Juwel Rana (Daffodil International University, 2024-01-24)
    The harvesting time of fruits significantly affects their quality, flavor, and market value. Traditionally, this process relies on subjective human evaluation, which is both timeconsuming and subjective. However, a solution ...
  • Automated lung cancer cell detection through advanced machine learning algorithm based on analytical prediction method 
    Mita, Sumayarof (Daffodil International University, 2024-01-22)
    Lung cancer is the leading cause of cancer-related deaths worldwide. According to the World Health Organization (WHO) 1.80 million people died in 2020 because of lung cancer [1]. Lung cancer remains a leading cause of ...

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