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Performance analysis of different machine learning approaches for single modal facial expression detection
(BRAC University, 8/13/2018)
Facial expression detection plays a pivotal role in the studies of emotion, cognitive processes,
and social interaction. This has potential applications in different aspects of everyday life .For
Example, real time face ...
Early detection of breast cancer using machine learning
(Brac University, 2018-12)
Breast cancer is the most common cancer among women but in can occur in both the genders.
It is accountable for an appalling number of deaths worldwide. In a particularly low-resource
developing country like Bangladesh, ...
A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
(Brac University, 2019-09)
The application of Arti cial intelligence (AI) has become a valuable part of medical
research. These days diabetes is one of the top maladies on the planet. Nowadays
it has become a common disease and alarming as people ...
Forecasting stock market prices using advanced tools of machine learning
(BRAC University, 2019-04)
Stock market, a very unpredictable sector of nance, involves a large number of
investors,buyers and sellers. Stock market prediction is the act of attempting to
see the long run price of an organization stock or di erent ...
Enhancing autism detection through machine learning models focusing on behavioral analysis
(Brac University, 2024-05)
Autism Spectrum Disorder (ASD) is a complex and enduring condition characterized
by challenges related to communication and behavior. It is a complex neurological
disorder related to an individual’s psychological ...
A predictive analysis of chronic kidney disease using machine learning
(Brac University, 2022-09)
Chronic kidney disease (CKD) is a determined disease condition having critical grimness
and death rate that influences the whole grown-up populace brought about by
either renal pathology or diminished renal capabilities. ...