Muhammad Waqas (489) <br/><br/>
Application of deep learning in single top quark production at LHC 

 - Islamabad  (unpublished)  2021 
 - vii, 67 p.  : ill., Col.,  ; 30 cm.  +CD 
<br/><br/> 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 
<br/><br/>Thesis (M.Phil)--Riphah International University, 2021 
<br/><br/><br/>English 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Physics--Large hadron collider--Artificial neural network--Multilayer perceptron--Deep Learning--Machine learning--Artificial Intelligence--TMVA--LHC--BDT--MLP--ML--DBS--FEAS
<br/><br/><label>Dewey Class. No.: </label>530  / WAQ