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Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 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, ...
  • Bangla Toxic Comment Classification (Machine Learning and Deep Learning Approach) 
    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 ...
  • BornoNet: Bangla Handwritten Characters Recognition Using Convolutional Neural Network 
    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 ...
  • 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. ...
  • 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 ...
  • Computational Intelligence Techniques for Disease Prediction 
    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 ...
  • Conspiracy Detection by Real Time Email Analysis 
    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 ...
  • Coronary Illness Prediction Using Machine Learning 
    Fairooz, Atia (Daffodil International University, 2021-01-15)
    After the advancement of the automated structure, AI expects to be a basic part here. A machine exhibit just likes a person. The system responds subsequently subject to learning. Accurate learning gives the accurate ...
  • Crime Data Mining : A General Framework and Approach to Identify Crime Pattern Using Machine Learning 
    Sharmin, Mahmuda; Kazi, Md. Aslam (Daffodil International University, 2018-11)
    Crime data mining has been a hot topic in the law-enforcement sector as it can solve crime related problems more effectively. In this thesis, we have focused in determining crime patterns using effective data mining ...
  • Crime Rate Prediction and Spot Detection System Using Machine Learning and Data Mining 
    Mahmud, Sakib; Nuha, Musfika (Daffodil International University, 2020-07-26)
    Analysis of crime is a methodological approach to the identification and assessment of criminal patterns and trends. In a number of respects cost our community profoundly. We have to go to many places every day for our ...
  • Customer Segmentation by Using Machine Learning and E-commerce Solution 
    Bepary, Anup Chandra; Ferdous, Zannatul (Daffodil International University, 2020-07-19)
    Customer segmentation is very important for online businesses like e-commerce. To grow a business a person should understand their customers very thoroughly. That’s why customer segmentation is very important. It is also ...
  • Determining Student's Performance Effecting Factors to Predict Their Performances Using Various Classifiers 
    Sarker, Shipankar; Roy, Limi; Akter, Farzina; Tanzeer, Arafat Ahmed (Daffodil International University, 2020-10-18)
    Student performance in university courses is of great concern to higher education where several factors may affect the performance. This paper is an attempt to apply the data mining processes, particularly classification, ...
  • Drug Addiction Prediction Using Machine Learning 
    Arif, Md. Ariful Islam; Sany, Saiful Islam; Nahin, Faiza Islam (Daffodil International University, 2020-07-19)
    Drugs and alcohol are dangerous to health and the body. Nowadays drug addiction has become a threat to Bangladeshi young people. Drugs and alcohol have a negative impact on our life. We have to keep an eye on the young ...
  • Early Brain Stroke Prediction Using Machine Learning Technique 
    Sharmin, Toufika; Sadik, Md. Shibli (Daffodil International University, 2018-11)
    Sometimes, a stroke called a "brain attack" occurs when blood supply to an area in the brain is cut off. Often due to doctor perception, deciding whether an observation diagnostic test is brain stroke or not which causes ...
  • EEG CLASSIFICATION OF HAND MOVEMENT USING MACHINE LEARNING 
    AHMED, MD TANVIR; DAS, SOURAV; NISHA, JARIN TASNIM; GAIN, SRABANI (Daffodil International University, 2018-12-11)
    Brain computer interface can provide a communication pathway and control channel between brain and external devices. In this paper, we used global EEG dataset from UCI Machine Learning Repository (https://archive.ics.u ...

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