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Browsing Project Report by Subject "Machine Learning"

Browsing Project Report 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, ...
  • 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 ...
  • 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 ...
  • Automated Trash Detection System Using Image Processing 
    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 ...
  • Automated trash detection system using image processing 
    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 ...
  • Autonomous Virtual Vehicle Using Reinforcement Learning 
    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 ...
  • Bangla Book review analysis with different word embedding and machine learning 
    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 ...
  • Bangla book review analysis with different word embedding and machine learning 
    Abdul Al Motakabbir, Md. (Daffodil International University, 2024-01-26)
    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 ...
  • Bangla fake news identification using deep learning and machine learning 
    Hossain, Md. Shakhawat (Daffodil International University, 2024-01-01)
    Identification of Bangla Fake News is very challenging, mostly when there is so much news from multiple online sources like social media, online news, and other online platforms. Detecting fake news is comparable in ...
  • Bangla fake news identification using deep learning and machine learning 
    Hossain, Md. Shakhawat (Daffodil International University, 2024-01-25)
    Identification Of Bangla Fake News is very challenging, mostly when there is so much news from multiple online sources like social media, online news, and other online platforms. Detecting fake news is comparable in ...
  • Bangladeshi local fish detection using deep learning techniques 
    Samiu, Asrafilil (Daffodil International University, 2024-01-01)
    This study uses deep learning techniques to provide a novel method for local fish understanding in Bangladesh. The following six native fish species are represented in the extensive dataset that was painstakingly gathered: ...
  • Bangladeshi Rice & Tea Leaf Disease Detection Using Machine Learning 
    Rakib, Md. (Daffodil International University, 2024-01-01)
    Bangladesh's economy is based primarily on agriculture, with the production of tea and rice being essential to maintaining livelihoods and food security. The persistent risk of illnesses in rice and tea plants, however, ...
  • Bangladeshi rice & tea leaf disease detection using machine learning 
    Rakib, Md. (Daffodil International University, 2024-01-22)
    Bangladesh's economy is based primarily on agriculture, with the production of tea and rice being essential to maintaining livelihoods and food security. The persistent risk of illnesses in rice and tea plants, however, ...
  • Bengali news clustering using k-means clustering based on LSA 
    Zilani, Rashedul Alam (Daffodil International University, 2024-01-24)
    Effective information retrieval and organization have become increasingly important, especially in contexts involving diverse cultural backgrounds, as the continued growth of digital content has demonstrated. The subject ...

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