Now showing items 1-17 of 17

    • Amazon product reviews sentiment analysis using supervised learning algorithms 

      Hawladar, Mohibullah; Ghosh, Arjan; Raad, Zaoyad Khan; Chowdhury, Wali Ahad; Shehan, Md Sazzad Hossain (Brac University, 2021)
      E-commerce is gaining traction in today’s digitalized environment by taking products closer to customers without forcing them to leave their homes. A customer must study hundreds of reviews before making a purchase. The ...
    • Analysis on the effects of wallstreetbets on the stock market 

      Hossain, Abir; Sarker, Zahid; Radib, Md Sadman; Taher, Sayed Bin; Samrat, Syed Mohebbullah (Brac University, 2022-01)
      In January of 2021, the stocks of various companies, i.e. Gamestop, AMC etc. had a huge surge in price. The incident was attributed to redditors of the subreddit called r/wallstreetbets making a massively coordinated ...
    • Cassava leaf disease classification using deep learning and convolutional neural network ensemble 

      Shahriar, Hasan; Shuvo, Protick Sarker; Fahim, Md. Saidul Haque; Sordar, Md Sobuj; Haque, Md Esadul (Brac University, 2022-01)
      Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause a variety of illnesses on cassava leaves. This ...
    • 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 ...
    • Credit card fraud detection using machine learning techniques 

      Kabir, Tasmia; Nishat, Tahnin; Tory, Saria Bulbul (Brac University, 2021-09)
      The extensive use of the internet is perpetually drifting businesses to incorporate their administrations in the online environment. As a result of the development of e-commerce websites, people and monetary corporations ...
    • A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning 

      Anjum, Afra Antara; Islam, Sadaath; Majumder, Shaikat (Brac University, 2022-01)
      Recruitment is a crucial task for Human Resource Management (HRM) and determines the creation of a competent workforce that eventually brings tangible and intangible benefits for companies. Employees are key elements in ...
    • A feature selection approach to determine obesity using machine learning method 

      Antor, Shahidul Alam; Ahmed, Jawad; Nayen, Zulker; Tabassum, Farisha; Mahbub, Rasheda (Brac University, 2021-06)
      The new health concern that is proliferating in developing and impoverished countries is obesity. It is recognized as a complex health issue caused by various factors such as genetics, behaviour, and other issues. Obesity ...
    • Finding ideal geographical location for businesses using machine learning technique 

      Mahmud, Mir Ibtid; Chowdhury, Onez; Alvee, Yashwant; Sadman, Tawsif; Shaon, Imrul Haque (Brac University, 2021-09)
      The world has become a place where the economy is at the epicenter of it all. World economic growth has paved the way for people to enrich their lives with all sorts of blessings. A major chunk of this shift in the world's ...
    • Finding suitable locations for live campaigns using different machine learning techniques 

      Qudar, Mohiuddin Md. Abdul; Tazrin, Tahrat; Khanam, Kazi Zainab (BRAC University, 2018)
      For business booming, in recent years the idea of find an ideal location for reaching potential customers has been the focus of past research. Traditional approaches have faced many negative responses, now to make business ...
    • Heart disease prediction system 

      Amit, Tayab Al Azad; Fullkoli, Raida Nawar; Palit, Niloy; Nafisa, Farhana Khan; Binoy, MD Muntakim Ahmed (Brac University, 2022-01)
      [1]According to the World Health Organization (WHO), 17.9 million people die each year due to cardiovascular diseases (CVDs), almost 31% of all deaths worldwide. This single piece of evidence is strong enough to describe ...
    • Intelligent assisted living in pregnancy 

      Zaman, S. M. Tanveer; Tasneem, Rafia; Shakerin, Tasmia (Brac University, 2022-01)
      Pregnancy period has always been the most sensitive and tenacious phase for the mothers to go through. Despite living in this modern world, it is still difficult to fight with the distress and complications of pregnancy, ...
    • A machine learning approach on classifying orthopedic patients based on their biomechanical features 

      Hasan, Kamrul; Islam, Safkat; Samio, Md. Mehfil Rashid Khan (BRAC University, 2018-04)
      A person’s orthopedic health condition can be detected from his biomechanical features. Application of machine learning algorithms in medical science is not new. Different algorithms are applied to detect diseases and ...
    • 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. ...
    • 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 ...
    • Predicting stock market movement using sentiment analysis of twitter feed 

      Chakraborty, Pranjal; Rony, Rashad Al Hasan; Pria, Ummay Sani (BRAC University, 4/16/2017)
      Collecting opinions of mass people through the social networking sites has become easy and handy now-a-days. These opinions show the sentimental state of a large number of people, which, according to behavioral economics, ...
    • A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk 

      Farabe, Abdullah Al; Sharika, Tarin Sultana; Raonak, Nahian; Ashraf, Ghalib (Brac University, 2019-09)
      The application of Arti cial intelligence (AI) has become a valuable part of medical research. These days diabetes is one of the top maladies on the planet. Nowadays it has become a common disease and alarming as people ...
    • Text classification using machine learning algorithms 

      Hasnat, Fahim; Hasan, Md. Mazidul; Khan, Nayeem Hasan; Ali, Asif (BRAC University, 8/2/2018)
      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 ...