Now showing items 1-15 of 15

    • Crop monitoring system using image processing and environmental data 

      Rabbi, Shadman; Shabik, Ahnaf (BRAC University, 2018)
      We propose advanced crop monitoring system using image processing from environmental data for faster and better yield of agriculture. In the system, we have used colour segmentation and binary masking to analyse and ...
    • Detection and classification of speed limit traffic signs 

      Biswas, Rubel; Fleyeh, Hasan; Mostakim, Moin (© 2014 Institute of Electrical and Electronics Engineers Inc., 2014-10)
      This paper presents a novel traffic sign recognition system which can aid in the development of Intelligent Speed Adaptation. This system is based on extracting the speed limit sign from the traffic scene by Circular Hough ...
    • EEG signals analysis for motor imagery brain computer interface 

      Rahman, La z Maruf; Alam, Zawad; Rahman, Md. Musta-E-Nur (Brac University, 2019-08)
      A brain{computer interface is a medium for communication which converts neuronal signals into commands towards controlling external system. This thesis presented the process of classifying three motor imagery tasks using ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Handwritten character recognition and prediction of age, gender and handedness using machine learning 

      Al Emran, Md.; Naief, S. M.; Hossain, Md. Shimul (BRAC University, 2018)
      Handwritten character recognition and prediction of age, gender & handedness from handwritten documents offers an interesting research problem for researchers as few research carried out on this field. The aim of this ...
    • LVQ and HOG based speed limit traffic signs detection and categorization 

      Biswas, Rubel; Tora, Moumita Roy; Bhuiyan, Farazul Haque (© 2014 IEEE Computer Society, 2014)
      The proper identification of the traffic signs can ensure driving safety and can play a very important role in reducing the number of road accidents significantly. This paper represents a uniform way to detect the speed ...
    • A machine learning approach to predict movie box-office success 

      Quader, Nahid; Gani, MD. Osman (BRAC University, 2017)
      Making a prediction of society’s reaction to a new product in the sense of popularity and adaption rate has become an emerging field of data analysis. The motion picture industry is a multi-billion dollar business. And ...
    • Prediction of diabetes induced complications using different machine learning algorithms 

      Rahman, Tahsinur; Farzana, Sheikh Mastura; Khanom, Aniqa Zaida (BRAC University, 2018-08)
      Machine Learning is an ever expanding field of Artificial Intelligence which uses huge amount of data to develop algorithms that can detect patterns and systems. One such application of Machine Learning is developing ...
    • Producing self tuned music using machine learning tools 

      Tasneem, Akifa; Reza, Mostofa Saif; Anindya, Navid (BRAC University, 2017)
      Automatic music genre classification is one of the important tasks for the Music Information Retrieval (MIR). With the development of the knowledge on Machine Learning, researchers have implemented different methods to ...
    • Sentiment analysis for Bengali newspaper headlines 

      Hossain, Mohammad Samman; Jui, Israt Jahan; Suzana, Afia Zahin (BRAC University, 2017)
      In this project, we propose a system that assigns scores indicating positive or negative to newspaper headlines. Many works have been done on sentiment analysis, document clustering for newspaper headlines in English. We ...
    • Speech emotion detection using supervised, unsupervised and feature selection algorithms 

      Rifat, Abu Nuraiya Mahfuza Yesmin; Biswas, Aditi; Chowdhury, Nadia Farhin (BRAC University, 2019-04)
      A tremendous research is being done on Speech Emotion Recognition (SER) in the recent years with its main motto to improve human machine interaction. In this thesis work,we have introduced a scheme for emotion recognition ...
    • Stock market prediction using ensemble learning 

      Rabbani, Rakin Bin; Amin, B. M. Fahad-ul; Khan, Sumaiya Tanjil; Mahbub, Farjiya Benta (Brac University, 2020-04)
      An unpredictable sector of finance market which involves three major roles: investors, buyers and sellers is called a stock market. Also stock prices may not only change the future economy of a country but also have direct ...
    • Subjectivity analysis using machine learning algorithm 

      Ahmed, Erfan; Azad, Muhitun; Islam, Md. Tanzim; Sazzad, Md. Asad Uzzaman (BRAC University, 2016)
      This paper investigates a new approach of finding sentence level subjectivity analysis using different machine learning algorithms. Along with subjectivity analysis sentiment analysis has also been shown separately in this ...