Browsing by Subject "AdaBoost"
Now showing items 1-7 of 7
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A comparative analysis of emotion recognition using EEG signals with a channel selection technique
(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 ... -
Diagnosis of cervical cancer using effective hybrid model in Bangladesh
(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
(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
(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
(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
(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
(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 ...
