{"id":3966,"date":"2024-04-04T01:35:50","date_gmt":"2024-04-03T23:35:50","guid":{"rendered":"https:\/\/nepttp.avidakizomba.co.za\/?p=3966"},"modified":"2025-06-09T12:19:04","modified_gmt":"2025-06-09T10:19:04","slug":"understanding-the-jet-activities-in-association-with-the-dileptons-using-machine-learning-techniques-with-the-use-of-the-atlas-detector-at-lhc","status":"publish","type":"post","link":"https:\/\/www.escience.ac.za\/index.php\/2024\/04\/04\/understanding-the-jet-activities-in-association-with-the-dileptons-using-machine-learning-techniques-with-the-use-of-the-atlas-detector-at-lhc\/","title":{"rendered":"Understanding The Jet Activities In Association With The Dileptons Using Machine Learning Techniques With The Use Of The ATLAS Detector At LHC"},"content":{"rendered":"<p><strong>Researcher:<\/strong> Mashaka Molepo, University of Venda<br \/><strong>Supervisor:<\/strong> Professor Bruce Mellado, University of the Witwatersrand, Johannesburg<\/p><p>The use of neural networks as sources for the study in Monte Carlo simulation for the detection of hadronic -decay w boson including strong jet quacks [1]. The need for data science algorithms in deep neural networks leads to a strong rejection of the fundamental one-jet correlation sub-structure [1]. The use of deep learning methods has been noticed in the context of an increased deep neural networks to enhance context exclusion including the use of implantation sub-sub-structures and mass-tagers [1]. The corresponding classi\ufb01ers are often linearly associated with the parameters in their substructures.<\/p><p><br \/><\/p>","protected":false},"excerpt":{"rendered":"<p>Researcher: Mashaka Molepo, University of VendaSupervisor: Professor Bruce Mellado, University of the Witwatersrand, Johannesburg The use of neural networks as sources for the study in Monte Carlo simulation for the detection of hadronic -decay w boson including strong jet quacks [1]. The need for data science algorithms<\/p>\n","protected":false},"author":1,"featured_media":4493,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-3966","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-capstone-projects"],"_links":{"self":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/3966","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/comments?post=3966"}],"version-history":[{"count":1,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/3966\/revisions"}],"predecessor-version":[{"id":4482,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/3966\/revisions\/4482"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/media\/4493"}],"wp:attachment":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/media?parent=3966"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/categories?post=3966"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/tags?post=3966"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}