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    Predicting depression in Bangladeshi undergraduates using machine learning 

    Choudhury, Ahnaf Atef; Khan, Md Rezwan Hassan; Nahim, Nabuat Zaman; Tulon, Sadid Rafsun (BRAC University, 2018-12)
    Depression is a major disorder and a growing problem that impacts a person’s way of living, disrupting natural functioning and impeding thought processes while they might remain oblivious to the fact that they are suffering ...
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    Modelling and forecasting energy demand of Bangladesh using AI based algorithms 

    Mahmud, Booshra Nazifa; Ferdoush, Zannatul; Mim, Lamia Tasnim (Brac University, 2019-04)
    Bangladesh being one of the ve fastest growing economies in the world with its enormous 164.7 million population is facing a huge challenge of adapting to the surging demand of electricity rising throughout the country ...
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    Chronic kidney disease detection using ensemble classi ers and feature set reduction 

    Shawan, Naveed Rahman; Mehrab, Syed Samiul Alam; Ahmed, Fardeen; Hasmi, Mohammad Sharatul (BRAC University, 2019)
    Chronic kidney disease (CKD) is the gradual loss of kidney function over a duration of months or years. One in ten people are affected by it at some stage. Some ethnicities such as African Americans and South Asians are ...
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    Exploring cognitive load and emotional states for the visually impaired 

    Afroz, Sharmin; Shimanto, Zubaed Hassan; Jahan, Ra qua Sifat (Brac University, 2019-04)
    Cognitive load and emotional states may impact for designing an assistive navigation aid for the Visually Impaired Peoples (VIPs). In this study, electroencephalogram (EEG) signals were captured from participants with ...
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    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 ...
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    Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path 

    Saquib, Muhammad Sadman; Ali, Mili Mohammad; Tazmim, Marisha; Ahmad, Faiyaaz (Brac University, 2019-04)
    Bangladesh being one of the most heavily populated country in the world, the traffic condition is worsening every year due to the increase of vehicle activities through- out the entire nation. Research claims that an average ...
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    A counseling system to predict the study path for freshmen 

    Usha, Rowshni Tasneem; Parvez, Shiny Raisa; Sejuti, Fariha Sazid; Hossain, Maisha (BRAC University, 2019-04)
    Now a days, dilemma related to one's career has been considered as a serious issue, specially among fresh graduates. Starting at the age of 18, the students usually fail to grasp the idea of which career path to pursue ...
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    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, ...
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    Detection of fake identities on twitter using supervised machine learning 

    Rahman, MD. Takiur; Likhon, Ataul Mim; Rahman, A. S. M Mus qur; Choudhury, Mihadul H. (BRAC University, 2019-05)
    Social media has changed the way people get their news. Once people used to buy newspapers to get their news but now everything is online. It has changed the dimension of how we receive news altogether. With a growing e ...
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    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 ...
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    AuthorChoudhury, Ahnaf Atef (2)Khan, Md Rezwan Hassan (2)Nahim, Nabuat Zaman (2)Tulon, Sadid Rafsun (2)Abdullah, Saqueeb (1)Abdullah, Tahmid (1)Abdus Shukur, Samiha Sabrin Md (1)Abida, Fauzia (1)Abir, Tawhidur Rahman (1)Abrar, Tahmid (1)... View MoreSubject
    Machine learning (82)
    Machine learning. (14)Data mining (8)Image processing (6)Neural network (6)Prediction (6)Random forest (6)Artificial intelligence. (5)Decision tree (5)Logistic regression (5)... View MoreDate Issued2018 (40)2019 (34)2017 (5)2015 (2)2016 (1)Has File(s)Yes (82)

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