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    Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms 

    Tasnim, Nishat; Khwaja, Atiya; Rashid, Humayra (BRAC University, 2018-12)
    Emotion recognition from facial expression is one of the most popular research sectors in Computer Science for last several years. As face recognition of different people is already established and become very common in ...
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    Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning 

    Abir, Tawhidur Rahman; Ahmed, Touseef Saleh Bin; Rahman, Md. Tausif; Jafreen, Sumaiya (BRAC University, 2018-12)
    There has been significant development in the recent Education System with the rapid development of technology however there are very few facilities that can help those people with disabilities such people without sight. ...
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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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    Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment 

    Shihab, Ibne Farabi; Oishi, Maliha Moonwara (BRAC University, 2018)
    A restaurant business is a very prospective and profitable business nowadays. However, ensuring quality food, good stuff, inner-environment etc. is a big concern and most importantly before facing all these, the trickiest ...
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    Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning 

    Hussain, Nadib; Islam, Tanvir; Apu, Rafik Un Nabi (BRAC University, 2018-07)
    Adverse Drug Reaction (ADR) is one of the many uncertainties which are considered as a fatal threat in the field of pharmacy and medical diagnosis. Utmost care is taken to test a new drug thoroughly before it is introduced ...

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    AuthorAbir, Tawhidur Rahman (1)Ahmed, Touseef Saleh Bin (1)Apu, Rafik Un Nabi (1)Choudhury, Ahnaf Atef (1)Hussain, Nadib (1)Islam, Tanvir (1)Jafreen, Sumaiya (1)Khan, Md Rezwan Hassan (1)Khwaja, Atiya (1)Nahim, Nabuat Zaman (1)... View MoreSubject
    Data mining (5)
    Machine learning (5)
    Image processing (2)Adverse Drug Reaction (1)Artificial intelligence. (1)Autism Spectrum Disorder (1)Braille pattern (1)Character recognition (1)Convolutional Neural Network (1)Decision Tree (1)... View MoreDate Issued
    2018 (5)
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