Browsing by Subject "Support vector machine"

Now showing items 1-13 of 13

    • Best feature selection and data visualization for breast cancer prediction 

      Hemel, Tanjim Ahmed; Parvez, Rohan (Brac University, 2019-09)
      Breast cancer (BC) is one of the most common cancers among women worldwide, representing the majority of new cancer cases and cancer-related deaths according to global statistics, making it a signifcant public health ...

    • Classi cation of magnetic configurations using machine learning algorithms 

      Bokul, Saffat; Abdus Shukur, Samiha Sabrin Md; Ahmed, Saquib (Brac University, 2019-08)
      Machine learning is used to carry out e cient studies and analyses in the eld of condensed matter physics. We propose comprehensive machine learning approaches that would classify between magnetic structures. We propose ...

    • 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 ...

    • Cyberbullying detection using sentiment analysis in social media 

      Sintaha, Mifta; Satter, Shahed Bin; Zawad, Niamat; Swarnaker, Chaity; Hassan, Ahanaf (BRAC University, 8/18/2016)
      In this day and age, the usage of Social Media has increased enormously in our daily lives. People like to share their experiences in various social media accounts for their friends to see. Consequently, the possibility ...

    • A decision support system for symptom-based common diseases and image-based skin diseases detection 

      Joy, Moinul Alam (Brac University, 2021-05)
      Nowadays, it has become di cult to get in touch with a doctor for the current pandemic situation. Patients need to wait several days to get an appointment from the doctor and visiting the hospitals in recent times is ...

    • 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 ...

    • Grouping of handwritten Bangla basic characters, numerals and vowel modifiers for multilayer classification 

      Reza, Khondker Nayef; Khan, Mumit (© 2012 Institute of Electrical and Electronics Engineers Inc., 2012)
      For better performance in multilayer or hierarchical classification of handwritten text, appropriate grouping of similar symbols is very important. Here we aim to develop a reliable grouping schema for the similar looking ...

    • 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 ...

    • Human recognition using wireless router signal 

      Chowdhury, S. M. A. Muksit; Shawon, Hasinur Are n; Patwary, Tanvir Wazy Ullah; Rahman, Rukshanda (Brac University, 2019-08)
      Human identi cation technology can revolutionize numerous sectors in human life and a large number of methods already exist to identify humans such as voice recognition, ngerprint identi cation, face recognition and so ...

    • 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, ...

    • A new approach to select adaptive Intrinsic Mode Functions (IMFs) of Empirical Mode Decomposition (EMD) 

      Sultana Nishi, Razia; Uddin, Md. Burhan; Islam, Safat (2016-08)
      In the field of signal processing an adaptive algorithm for the selection of Intrinsic Mode Functions (IMF) of Empirical Mode Decomposition (EMD) is a time demand. In this paper, we propose an effective model for adaptive ...

    • Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors. 

      Ahmed, Sajjad (BRAC University, 2019-04)
      Machine Learning is boosting up the advancement in the eld of Arti cial Intelligence these days. However, almost every machine learning algorithm contains an optimization problem to solve. Inspired by quantum mechanics, ...

    • Performing sentiment analysis in Bangla microblog posts 

      Chowdhury, Shaika; Chowdhury, Wasifa (© 2014 IEEE Computer Society, 2014)
      Much of the research work on sentiment analysis has been carried out in the English language, but work in Bangla is limited to only news corpus and blogs. Microblogging sites are becoming a valuable source for publishing ...