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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Machine Learning"

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Machine Learning"

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  • 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 ...
  • 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, ...
  • 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 ...
  • 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 ...
  • Deep Dive into Speech Privacy: Convolutional Neural Networks in Sensitive Content Detection 
    Zaman, Nafisa (Daffodil International University, 2024-01-01)
    Sensitive speech, encompassing hate speech, offensive language, and discriminatory remarks, has become a pressing issue in today's digital landscape. This research focuses on exploring the efficacy of Convolutional Neural ...
  • Dengue Fever Prediction Using Machine Learning Approaches 
    Suchita, Ishrat (Daffodil International University, 2024-01-29)
    Dengue fever, also a viral infection spread by mosquitoes, is still a major global health concern, impacting millions of people each year. By applying a carefully controlled dataset of 521 entries and 23 variables, this ...
  • Depression prediction among student based on their daily activities 
    Pranty, Miskatun Ahmed (Daffodil International University, 2024-01-01)
    Depression affects most people in modern life. Inadequate treatment even leads to many people taking their own lives. Early detection and treatment of depression in patients are very easy to achieve. We are unable to ...
  • 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 ...
  • An Efficient Early Prediction of Hypothyroid Disease with Ensemble Machine Learning Technique 
    Nandi, Kartick (Daffodil International University, 23-02-12)
    Physical illnesses, such as hypothyroidism, have recently become more prevalent. The topic is well-known in today's society. Hypothyroidism is a problem for the majority of people. The differences between the ratios of the ...

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