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Browsing Faculty of Science and Information Technology by Subject "Machine Learning"

Browsing Faculty of Science and Information Technology 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 ...
  • 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, ...
  • 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 ...
  • 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 ...
  • 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 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 ...
  • 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 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 News Classification Using Machine Learning 
    Ahmad, Mostak; Mishu, Fayjun Nahar; Limon, S. M. Shakib (Daffodil International University, 2018-05)
    What is the distance between countries to countries from south to north, east to west in the earth? If you find the answer of this question according to the perspective of the present time, you will see that, actually, ...
  • 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, ...
  • 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 ...
  • Breaking Language Barriers: A Multimodal Approach to Bangla and English Sign Language Detection 
    AHMED, ISTIAK (Daffodil International University, 2024-01-21)
    Hearing loss is a barrier to living a normal life for the deaf. Approximately 2.6 million people in Bangladesh are suffering from hearing loss. For these people, sign language plays a very important role in communicating ...
  • Breast tumor detection using deep learning 
    Atikuzzaman, Md. (Daffodil International University, 2024-01-22)
    Finding tumor areas on breast ultrasonography pictures has long been a fascinating subject. The complex architecture of breast and the presence of noise in ultrasound images sometimes make it impossible for traditional ...
  • A Comparative Analysis of Machine Learning Algorithms for Breast Cancer 
    Arnab Saha (Daffodil International University, 2024-01-01)
    With the rapid expansion of medical research in recent years, early diagnosis is now more critical than ever. A growing global population increases the risk of death from breast cancer, making it the second most severe ...
  • A Comparative Study on Different Machine Learning Algorithms for Achieving Accurate Prediction for Heart Diseases 
    Ghosh, Pronab; Ahmed, Khobayeb; Karmaker, Madhob (Daffodil International University, 2018-11-27)
    Over the years, heart diseases have become one of the most common causes related to death. Most of the time heart diseases are detected at the very last stage; therefore, an accurate prediction may reduce the catastrophe ...
  • A Comparative Study on Prediction of Dengue Fever Using Machine Learning Algorithm 
    Dourjoy, Saif Mahmud Khan; Rafi, Abu Mohammed Golam Rabbani (Daffodil International University, 2019-12-07)
    Dengue is one of the most common viral fever to the people. This is also known as life threatening disease. Dengue has become more and more evident this year in Bangladesh. It has taken the lives of many in our country. ...
  • A comprehensive deep neural network approach for multi-class Classification of Bangladeshi local Bananas with ripeness assessment 
    Sowrna, Nourin Jahan (Daffodil International University, 2024-01-01)
    This research employs the NasNetMobile model to address the critical task of banana disease classification, achieving an impressive accuracy rate of 97.12%. Leveraging deep learning techniques, the study focuses on ...
  • Computational Intelligence Techniques for Diabetes Prediction 
    Rahman, A. K. M. Sazzadur (Daffodil International University, 2018-12)
    This study is on “Computational Intelligence Techniques for Diabetes Prediction”. The main objective is to examine the performance of various Machine Learning algorithms in order to reduce the high cost of chronic disease ...

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