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Classi cation of magnetic configurations using machine learning algorithms
(Brac University, 2019-08)
Machine learning is used to carry out e cient studies and analyses in the eld of condensed
matter physics. We propose comprehensive machine learning approaches that
would classify between magnetic structures. We propose ...
A machine learning approach to detect depression and anxiety using supervised learning
(BRAC University, 2019-04)
Depression, a major depressive disorder and anxiety are common medical illness
which cause several symptoms that a ect the way a person feels, thinks, and the
way he/she acts. These disorders are not only hard to endure, ...
Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
(BRAC University, 2019-04)
Machine Learning is boosting up the advancement in the eld of Arti cial Intelligence
these days. However, almost every machine learning algorithm contains an
optimization problem to solve. Inspired by quantum mechanics, ...