Now showing items 1-20 of 20

    • Alumni opportunities using machine learning 

      Siaum, Arshif Sharlimin; Amin, Md. Jawad; Islam, Kamrul (BRAC University, 2018-12)
    • Application of machine learning in credit risk assessment: a prelude to smart banking 

      Dhruba, Mir Ishrak Maheer; Ghani, Nawab Haider; Hossain, Sazzad; Shoumo, Syed Zamil Hasan (BRAC University, 2018-12)
      A precise credit risk assessment system is vital to a financial institution for its proper and impeccable functioning. Accurate estimations of credit risk will allow them to continue their operation in a gainful and ...
    • Application of machine learning techniques on the context of livestock analysis 

      Islam, Md. Shajedul; Masud, Syed Tahmid; Tawheed, Bhuiyan Mustafa (BRAC University, 2018-08)
      Livestock industry has been one of the fastest growing sectors of business and research in Bangladesh over the past decade. This rising, lucrative and profitable industry seems to be attracting a good number of enthusiastic ...
    • Comparison of machine learning techniques to predict cardiovascular disease 

      Jaber, Mir Mohammad; Raad, Tahmid Imam; Tasneem, Tasfia (BRAC University, 2018-12)
      The purpose of this thesis is to examine and compare the accuracy of different data mining classication systems through different machine learning techniques to predict cardiovascular disease. This comparison shows the ...
    • Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning 

      Chowdhury, Himadri; Banik, Shounak; Hossain, Arafat; Khaled, Md. Imran (BRAC University, 2018-12)
      Cancer starts when cells of body begin to grow rapidly. Cells in nearly any part of the body can become cancer and can spread to other areas of the body. The origin of Chronic Lymphocytic Leukemia (CLL) in the bone marrow ...
    • Early detection of breast cancer using machine learning 

      Fuad, Wasi Mohammad (Brac University, 2018-12)
      Breast cancer is the most common cancer among women but in can occur in both the genders. It is accountable for an appalling number of deaths worldwide. In a particularly low-resource developing country like Bangladesh, ...
    • Feature based mobile phone rating using sentiment analysis and machine learning approaches 

      Kafi, Abdullahil; Alam, Md. Shaikh Ashikul; Hossain, Sayeed Bin; Awal, Siam Bin (2018)
      This project proposes a model of sentiment analysis of different features of different company’s mobile sets and rating them overall. Customers before buying a phone check reviews to get a better understanding of the device ...
    • Forecasting stock market prices using advanced tools of machine learning 

      Anwar, Md. Tawhid; Rahman, Saidur (BRAC University, 2019-04)
      Stock market, a very unpredictable sector of nance, involves a large number of investors,buyers and sellers. Stock market prediction is the act of attempting to see the long run price of an organization stock or di erent ...
    • Heart disease prediction using machine learning algorithms 

      Ali, Musfiq; Khan, MD. Iftiyar; Imran, Masud Al; Siddiki, Musnath (BRAC University, 2019-04)
      According to recent survey by WHO (World health organization) 17.9 million people die each year because of heart related diseases and it is increasing rapidly. With the increasing population and disease, it is become a ...
    • Implementing a recommender system for CS undergraduate students using machine learning 

      Tasnuva, Umama Sumlin; Aumi, Azmanul Abedin; Shishir, Shariful Islam (Brac University, 2019-04)
      E-learning is a learning process that accesses educational curriculum using electronic technologies and can be operated anywhere in the world where there is facility to connect to the internet. Traditional teaching ...
    • Learning a deep neural network for predicting phishing website 

      Das, Robat; Hossain, Md. Mukhter; Islam, Shariful; Siddiki, Abujarr (Brac University, 2019-05)
      In recent years, we have seen a huge paradigm shift in business because of the fast development of the Web. For this reason, consumers change their tendency from customary shopping to the electronic business. In the time ...
    • Machine learning approach for ECG analysis and predicting different heart diseases 

      Tithi, Sushmita Roy; Aktar, Afifa; Aleem, Fahimul (BRAC University, 2018-12)
      In the modern world, there have been some revolutionary advancement in the field of medical science and research and this is no different for electrocardiogram. Electrocardiogram (also abbreviated as ECG) illustrates the ...
    • A machine learning approach to detect depression and anxiety using supervised learning 

      Ullas, Md Tahmidur Rahman; Begom, Mariyam; Ahmed, Anamika; Sultana, Raihan (BRAC University, 2019-04)
      Depression, a major depressive disorder and anxiety are common medical illness which cause several symptoms that a ect the way a person feels, thinks, and the way he/she acts. These disorders are not only hard to endure, ...
    • Machine learning based data processing and latency reduction in the internet of things for agriculture 

      Rahman, Sajeed Ur; Dip, Leonard Michael Gomes; Shuddho, Manan Moin; Maheen, Kishwar (BRAC University, 2018-12)
      The Internet of Things is best stated as a network of “things” that have the ability to generate and share information between themselves and interact with the environment according to the percepts from this environment. ...
    • Monitoring of endangered fish using image processing and AI tools 

      Hossain, Naheen; Habib, Ahsan; Plabon, Tasharif Mehedi (Brac University, 2018-12)
      Marine life constitutes half of earth’s total biodiversity. But preservation and monitoring of them efficiently face setbacks largely due to technological limitations and economic reasons. Technological challenges include ...
    • Performance analysis of different machine learning approaches for single modal facial expression detection 

      Zinia, Surovi; Azmol, Aliza Ibn; Islam, Saiful (BRAC University, 2018-08-13)
      Facial expression detection plays a pivotal role in the studies of emotion, cognitive processes, and social interaction. This has potential applications in different aspects of everyday life .For Example, real time face ...
    • Prediction of UTR5’, CDS AND UTR3’ Splice sites in an unknown DNA sequence 

      Chaki, Dipankar; Roushan, Tanvir; Chowdhury, Md. Syeed (BRAC UniversityBRAC University, 2014-01)
      The recent flood of data from genome sequences and functional genomics has given rise to a new field, bioinformatics, which combines elements of biology and computer science. In experimental molecular biology, bioinformatics ...
    • Text classification using machine learning algorithms 

      Hasnat, Fahim; Hasan, Md. Mazidul; Khan, Nayeem Hasan; Ali, Asif (BRAC University, 2018-08-02)
      Financial, educational and communal activities produce enormous amount of data. Automatic text classification has significant application in content organization, point of view extraction, evaluation analysis, spam filtering ...
    • Understanding university students’ fast food consumption behavior and associated health concern 

      Chowdhury, Md. Ridowan; Rahman, Md. Maruf (BRAC University, 2018)
      The aim of this research is to investigate the potential measurement of fast food consumption behaviour and the health hazard factor associated with it. Fast food consumption is getting more popular in Bangladesh, and we ...
    • Using deep learning algorithms to detect violent activities 

      Ammar, S.M. Rojin; Anjum, Md. Tanvir Rounak; Islam, Md. Touhidul Islam (BRAC University, 2019-05)
      It is of extensive importance to develop a technique for automatic surveillance video analysis to recognize the presence of violence. In this work, to identify violent videos, we put forward a deep neural network. For ...