• Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches 

  Karim, Rezwanul; Nitol, Subah; Rahman, Md.Mushfiqur (BRAC University, 2018-12)

  In recent years, detecting epileptic seizure has gained a high demand in the field of research. It is such a common and high talked brain disorder, since more than 65 million individuals worldwide are affected by this ...
• An experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students 

  Rubaiyat, Nadia; Islam, Anika; Israt, Lamiah; Kabir, Lamiya (BRAC University, 2018-12)

  The tormenting hurdle that is slowly isolating the youth of this generation from being leaders of tomorrow, is depression. In recent times, students have been observed to indulge in compulsive use of Internet which has ...
• Extractive text summarization using Fuzzy-c-means clustering 

  Gani, Shafiul (BRAC University, 2018-12)

  Keeping track of the precise information from a large volume of text is an arduous task for human. Test summarization process has become one of the significant research areas for years owing to cope up with the astounding ...
• coinBD: an enhanced version of proof of work with less computational power 

  Hossain, Mohammad Badrul; Akash, Sadman Sakib; Haque, Md. Asraful (BRAC University, 2018-12)

  Cryptocurrencies are digital currency system where transactions happen in a decentralized peer to peer network without and security provided by cryptography. Blockchain is the backbone technology behind cryptocurrencies ...
• Implementation of an IoT based home automation system using real time sensors 

  Mandal, Dipta; Hassan, Md. Sowad; Joydhar, Janet Santa (BRAC University, 2018-12)

  The research aims towards a full implementation of an IoT based home automation system through data processing so that the system can take suitable action based on the circumstances without human supervision. The goal ...
• Machine learning as an indicator for breast cancer prediction 

  Shadman, Tahsin Mohammed; Akash, Fahim Shahriar; Ahmed, Mayaz (BRAC University, 2018-12)

  Affecting roughly around 10 percent of the women across the globe in some stage of their lives,Breast Cancer has stood out to be one of the most feared and frequently occurring cancers at present among women[1]. While ...
• Iris communicator 

  Ali, Shahriar; Arnob, Nafis Hasrat (BRAC University, 2018-12)

  This research purposes an eye pupil tracking experimental software to enable communication abilities for individuals with severe motor impairment. Since the ability of moving eye pupil is often preserved, even in severe ...
• Crop prediction based on geographical and climatic data using machine learning and deep learning 

  Alif, Al Amin; Shukanya, Israt Farhana; Afee, Tasnia Nobi (BRAC University, 2018-12)

  Agriculture is the basic source of food supply in all the countries of the world—whether underdeveloped, developing or developed. Besides providing food, this sector has contributions to almost every other sector of a ...
• Medical consultation system for community clinics in remote area 

  Talukder, Md. Fuad Hassan; Yeasmin, Farzana (BRAC University, 2018-12)

  In our country many people in the rural areas su er from various diseases but they do not get proper treatment because of the scarce of good doctors. Most of the people in our country come to the capital city Dhaka as ...
• Stock market prediction using time series analysis 

  Hira, Farhan Islam; Maruf, Mazharul Ferdous; Hossain, Afzal (BRAC University, 2018-12)

  Stock market, a very unpredictable sector of finance, involves a large number of investors, buyers and sellers. Stock prediction has been a phenomenon since machine learning was introduced. But very few techniques became ...
• Deep learning based medical X-ray image recognition and classification 

  Khan, Md. Rakib Hossain (BRAC University, 2018-12)

  Analysis of radiology images are mostly being done by medical specialists, as it is a critical sector and people expect highest level of care and service regardless of cost. Though, it is quite limited due to its complexity ...
• Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques 

  Rahman, Alvee; Rafiq, Fahim Md; Saha, Ramkrishna; Rafian, Ruhit (BRAC University, 2018-12)

  In this world, it is very difficult and time consuming for humans to summarize large documents, reports, news and research articles. Multiple text summarization techniques play vital roles in picking the important points ...
• 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 ...
• Text mining of news articles to detect violation of human rights 

  Mahmud, A M Saif; Ahmed, Talha; Hakim, Azrin; Sultana, Tanjida (BRAC University, 2018-12)

  Violation of people’s basic rights is a crime in almost every country in the world. However, many incidents in the real world gets passed unnoticed of legal attention. In this paper, we attempted to propose a model to ...
• 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 threat warning via speech and emotion recognition from voice calls 

  Ishtiak, Ifaz; Rahman, Mohammad Mazedur; Usmani, Md.Razaul Haque (BRAC University, 2018-12)

  The aim of this system is to identify potential cases of threats, and provide an early warning or alert to such cases. This will be based on voice such as voice chat over telecommunication networks or social media. The ...
• 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. ...
• 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 ...
• 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 ...

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