03042nam a22005775i 4500 978-981-97-4860-0 DE-He213 20251030113236.0 cr nn 008mamaa 241019s2024 si | s |||| 0|eng d 9789819748600 978-981-97-4860-0 10.1007/978-981-97-4860-0 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Advances in Artificial-Business Analytics and Quantum Machine Learning [electronic resource] : Select Proceedings of the 3rd International Conference, Com-IT-Con 2023, Volume 2 / edited by KC Santosh, Poonam Nandal, Sandeep Kumar Sood, Hari Mohan Pandey. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVI, 330 p. 115 illus., 74 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 1053 The book presents select proceedings of the 3rd International Conference on “Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects” (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers the topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cyber security, data science and machine learning. The book will be useful for researchers and professionals interested in the broad field of communication engineering. Artificial intelligence. 58441 Business Data processing. 59544 Data protection. Artificial Intelligence. 58441 Business Informatics. 65949 Data and Information Security. 66492 Santosh, KC. editor. (orcid)0000-0003-4176-0236 https://orcid.org/0000-0003-4176-0236 edt http://id.loc.gov/vocabulary/relators/edt Nandal, Poonam. editor. edt http://id.loc.gov/vocabulary/relators/edt 86302 Sood, Sandeep Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt 84696 Pandey, Hari Mohan. editor. edt http://id.loc.gov/vocabulary/relators/edt 84697 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819748594 Printed edition: 9789819748617 Printed edition: 9789819748624 Lecture Notes in Networks and Systems, 2367-3389 ; 1053 https://doi.org/10.1007/978-981-97-4860-0 ZDB-2-ENG ZDB-2-SXE 64333 64333