Browsing by Subject "AdaBoost"

Now showing items 1-9 of 9

    • Analysis of software fault prediction using machine learning algorithm 

      Shaha, Dipanker; Uddin, Md Mamun; Paul, Akash Chandra; Roy, Bishal (Brac University, 2021-01)
      Today software performs a requisite role in our daily lives. Software's complexity keeps growing. The increasing complexity of any software system making it very di cult to improve its quality. The performance of the ...

    • A comparative analysis of emotion recognition using EEG signals with a channel selection technique 

      Riduan, Jonayed Ahmed; Mahjabin, Most.; Mim, Nadia Tasnim; Islam, Ridwane-ul; Rana, Md. Shahriar Rahman (Brac University, 2021-01)
      Emotion can be defined as the neurophysiological changes people experience due to significant internal or external occasions. This is a mental condition that can a↵ect a person’s behavior, mood, way of life, and relationship ...

    • Detection of mental stress using EEG signal and classifier based on reward and punishment processing 

      Salim, Farhana Binta; Sadat, Abu Md.; Ema, Maria Islam; Jhara, Anita Mahmud (Brac University, 2021-01)
      Mental stress is the main well being problem worldwide today. Mental stress is by far the most common, responsible for most of all mental-brain diseases. The high incidence, high impairment and heavy risk of illness make ...

    • 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 ...

    • Early detection of chronic kidney disease using machine learning 

      Abrar, Tahmid; Tasnim, Samiha; Hossain, Md. Mehrab (Brac University, 2019-09)
      Chronic kidney disease (CKD) is a global prevalent ailment that causes lives in a predominant number. CKD is the 11th most deadly cause of global mortality with 1.2 million death each year and according to kidney Foundation ...

    • Explainable breast cancer detection from Histopathology images using transfer learning and XAI 

      Farabi, Farhan; Hossen, Farhan; Monsur, Farhan; Hossain, Mir Araf; Hasan, Md. Mohibul (Brac University, 2023-01)
      Nowadays, research on many diseases such as cancer has been ongoing to determine how to reduce and minimise the effect. There are many characteristics of cancer that can be identified by their consistent cell proliferation ...

    • 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 ...

    • Performance analysis of machine learning algorithms for Malware classification 

      Bushra, Raisa Hasan; Alam, Md Taukir; Saha, Aniruddho; Fahim, Nazmus Sakib; Binty, Nabila Mourium (Brac University, 2022-09-29)
      Malware detection research has been popular over the years as the variations and complexity of malware attacks are increasing daily. Using variously Supervised and Unsupervised machine learning algorithms to detect, ...

    • 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 ...