Application of deep learning in single top quark production at LHC - Muhammad Waqas (489) (Islamabad (unpublished), 2021)
Submitted in fulfillment of the requirements for the degree of Master of Philosophy in Physics to the Department of Basic Sciences, Faculty of Engineering and Applied Sciences.
Includes bibliographical references.
Thesis supervisor: Dr. Ijaz Ahmed
Thesis (M.Phil)--Riphah International University, 2021
English
Keywords: Physics -- Large hadron collider -- Artificial neural network -- Multilayer perceptron -- Deep Learning -- Machine learning -- Artificial Intelligence -- TMVA -- LHC -- BDT -- MLP -- ML -- DBS -- FEAS