Browsing by Subject "Gradient boosting classifier"
Now showing items 1-4 of 4
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An approach to detect epileptic seizure using XAI and machine learning
(Brac University, 2022-05)One of the most common neurological disorder in health sector is Epileptic Seizure (ES) which is occurred by sudden repeated seizures. Hitherto more than 50 million people in the whole world are suffering from Epileptic ... -
Detection of mental stress using EEG signal and classifier based on reward and punishment processing
(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 ... -
Exploring machine learning techniques for symptom-based detection of livestock diseases
(Brac University, 2024-05)Effective livestock monitoring ensures food security and sustainability in our rapidly growing world. However, proper cattle disease is still not taken seriously in our country. Even in the livestock industry, it has not ... -
Sentiment analysis on E-commerce based product reviews using machine learning algorithms
(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 ...
