Browsing by Subject "Naive Bayes"

Now showing items 1-8 of 8

    • Diagnosis of cervical cancer using effective hybrid model in Bangladesh 

      Saad-Ul-Kabir, Syed; Neeha, Ashwaq Noor; Ibnat, Rifah Nanjiba; Prottasha, Tanjila Haque; Ananna, Sadika Rahman (Brac University, 2021-06)
      This paper discusses the various forms of restraints, regulations, struggles, and reme dies for overcoming cervical cancer challenges. It is a life-threatening disease that affects women all over the world. The lack of ...

    • 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 ...

    • Heart disease prediction using techniques of classification in machine learning 

      Afrose, Sadia; Rubaiat, Farah; Tabassum, Homayra (Brac University, 2021-06)
      In this thesis we have examined the accuracy of various classifiers to predict heart disease and heart vessel blockage. We have also analyzed the key features contribut ing to heart vessel blockage. We have used a dataset ...

    • Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace 

      Al Amin, Istiak; Lamiya, Salsabil; Sheikh, Noshin Anjum; Haque, S. M. Tanjimul (Brac University, 2022-01)
      Nowadays, the number of interconnected devices (IoT) is increasing dramatically. This expansion poses new security problems for network operators, IoT service providers, and users. Security measures implemented on IoT ...

    • A machine learning approach to predict young voter enthusiasm based on non-political factors 

      Rahman, Md. Nowroz Junaed; Pantho, Md. Humaun Kabir; Fuad, Nafis (Brac University, 2020-04)
      The right to vote is considered to be the backbone of democracy. As we are entering the third decade of 21st century more and more countries around the world are adopting the democratic government system. One of most ...

    • Recognizing sentimental emotions in text by using Machine Learning 

      Bushra, Tabassum Khan; Saha, Kallol; Mulki, Ammin Hossain; Khan, Sanjana Sabah; Binta Amzad, Afrin (Brac University, 2022-10)
      As one of the fastest and most prominent deep learning technologies being fiddled with today, sentiment analysis is capable of revealing an individual’s true emotions by analyzing their facial speech, text, facial ...

    • SCAMM: detection and prevention of SQL injection attacks using a machine learning approach 

      Alam, Auninda; Tahreen, Marjan; Alam, Md Moin; Mohammad, Shahnewaz Ali; Rana, Shohag (Brac University, 2021-01)
      Importance of cyber-security in protecting our valuable data and information is huge in this era of technology. Since numerous amounts of cyber-attacks take place every day, the development of a more secured system so ...

    • 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 ...