Browsing by Subject "SVM"

Now showing items 21-34 of 34

    • 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 bipolar disorder from mental episodes using machine learning approach 

      Tasmeem, Sumaiya; Rahaman, Motiur; Piasha, Karishma Meherin Khan; Yasar, Samin; Dina, Murshida Akter (Brac University, 2022-06-05)
      A precious gift to mankind is the ability to express their emotions or feelings and also to realize. Sometimes, an omnipresent sustained feeling or emotion can dominate a person’s behavior and affect his perception which ...

    • 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 ...

    • Sentiment analysis on E-commerce based product reviews using machine learning algorithms 

      Arobi, Ritu; Rijon, Rakibul Hassan; Haque, Nimul; Safkat, T.I.M. Sakir; Safoan, Sk (Brac University, 2022-05)
      Opinions from others can be important when a choice is necessary, mainly when valuable resources such as time and wealth are involved. People often depend on their peers’ past experiences. The analysis of sentiments or ...

    • 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 ...

    • Text classification with an efficient preprocessing technique for cross-language and multilingual data 

      Khan, Towhid; Mallick, David Dew; Khan, Md.Shakiful Islam; Hasan, Md Mahadi (Brac University, 2022-09-28)
      The procedure of eradicating extraneous textual elements and preparing or process- ing the values to be fed into the classifier model is often indicates the concept of text-preprocessing. There are several preprocessing ...

    • Use of machine learning and IoT for monitoring and tracking of livestock 

      Aunindita, Rudaba Farhin; Misbah, Muhammed Shiam; Joy, Sibbir Bin; Rahman, Md. Ashikur; Mahabub, Sad Ibn (Brac University, 2022-09-29)
      Given the present era’s expanding population and rising necessity of dairy products, livestock supervision is one of the issues that is becoming progressively more of a priority. Moreover, periodic cattle health monitoring ...

    • Voice impersonation detection using LSTM based RNN and explainable AI 

      Barua, Kawshik; Rahim, Abdur; Parizat, Prantozit Saha; Noor, Md.Asad Uzzaman; Jannah, Miftahul (Brac University, 2021-10)
      The advancing eld of arti cial synthetic media introduced deepfakes which made it easier to synthesize a person's voice, identical to their original voice mechanically to use it for negative means. People's voices are ...

    • What is relevant in a text document a machine learning based approach 

      Mahmud, Abdullah Al; Noor, Jannat-E; Reshad, Sadman Alam; Fuad, Syed Nafis (Brac University, 2021-06)
      Text Documents often contain valuable data. But not all data is relevant. That is why extracting relevant data from text documents is an essential task. Extracting relevant data from text documents refers to the study ...