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Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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, ...
  • Jubaer, A.N.M.; Sayem, Abu; Rahman, Md. Ashikur (IEEE, 2019-11)
    Toxic comment classification problem is a popular classification problem nowadays. There are many attempts in English but it's rare in Bangla language. We tried to build a classifier for Bangla language. We tried different ...
  • 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 ...
  • Rabby, Akm Shahariar Azad; Haque, Sadeka; (Md.), Sanzidul Islam; Abujar, Sheikh; Hossain, Syed Akhter (Elsevier B.V., 2018-11-19)
    Bangla handwriting recognition is becoming an important issue in several years but it becomes a challenge to get good performance due to the alignment and many of them are similar. A simple, lightweight CNN model has been ...
  • 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 ...
  • Hosen, Md. Ziad; Baidya, Deepanita (Daffodil International University, 23-01-29)
    Physical diseases like breast cancer have been on the rise recently.The majority of women are affected by breast cancer. The ratio of normal to diseased areas and the pace of unchecked tissue growth are used to quantify ...
  • 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 ...
  • Bhuiyan, Mazedul Haque; Arju, Muhammad Ashfakur Rahman (Springer, 2023-11-06)
    Different cervical pap smear cell categorization schemes have recently been presented, the majority of which were binary classifications of normal and abnormal cells. This paper presents the findings of a comprehensive ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • Ahmed, Md. Razu (Daffodil International University, 2018-12-18)
    Objective: The aim of the study is to examine the performance of six Machine Learning algorithms for reducing the complexity and cost of chronic disease diagnosis by prediction. Methods: I used six machine learning ...
  • Hasan, Md. Rabiul; Islam, Md. Tarikul; Ferdous, Most. Jannatul (Daffodil International University, 2018-10)
    In this thesis, we have proposed a method to turn this psychological concept into a machine that can automatically detect the conspiracy among the employee by analyzing their email data in real time. Here we have proposed ...

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