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Browsing Project Report by Subject "Machine Learning"

Browsing Project Report by Subject "Machine Learning"

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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, ...
  • 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, ...
  • 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 ...
  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Parvez, Md. Ratul; Rahman, Md. Ashraful (Daffodil International University, 2024-07-13)
    In agricultural field, automation is essential to raising a country's standard of living, economic expansion, and productivity. A large part of a person's diet is made up of fruits, and finding good fruit in the market ...
  • 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 ...
  • 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 ...
  • Yeakub, Md (Daffodil International University, 2024-01-22)
    In this modern world any type of detection is an important task. The reason is that in this 20th century anything can be easily found through detection. Among the several types of identification, trash detection is one ...
  • Yeakub, Md (Daffodil International University, 2024-01-25)
    In this modern world any type of detection is an important task. The reason is that in this 20th century anything can be easily found through detection. Among the several types of identification, trash detection is one ...
  • Islam, Sadman Saumik; Alam, Samia Binta (Daffodil International University, 2019-12-05)
    Artificial intelligence plays a vital role in self driving vehicle. The direction in which the automotive industry is headed it is expected that autonomous vehicles capable of driving without human supervision will be ...
  • Abdul Al Motakabbir, Md. (Daffodil International University, 2024-01-27)
    Different product review analysis recently attracted the attention of natural language processing specialists, thanks to positive customer comments and reviews spread around the web. The increasing number of e-commerce ...

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