Applications of Artificial Intelligence and Neural Systems to Data Science (Smart Innovation, Systems and Technologies, 360, Band 360) - Softcover

 
9789819935949: Applications of Artificial Intelligence and Neural Systems to Data Science (Smart Innovation, Systems and Technologies, 360, Band 360)
Softcover
ISBN 10: 9819935946 ISBN 13: 9789819935949
Verlag: Springer, 2024

Inhaltsangabe

This book provides an overview on the current progresses in artificial intelligence and neural nets in data science. The book is reporting on intelligent algorithms and applications modeling, prediction, and recognition tasks and  many other application areas supporting complex multimodal systems to enhance and improve human–machine or human–human interactions. This field is broadly addressed by the scientific communities and has a strong commercial impact since investigates on the theoretical frameworks supporting the implementation  of sophisticated computational intelligence tools. Such tools will  support multidisciplinary aspects of data mining and data processing characterizing appropriate system reactions to human-machine interactional exchanges in interactive scenarios. The emotional issue has recently gained increasing attention for such complex systems due to its relevance in helping in the most common human tasks (like cognitive processes, perception, learning, communication, and even "rational" decision-making) and therefore improving the quality of life of the end users.

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Über die Autorin bzw. den Autor

Anna Esposito received her Laurea degree summa cum laude in Information Technology and Computer Science from Salerno University (1989) and the Ph.D. degree in Applied Mathematics and Computer Science from Napoli University Federico II (1995) with a thesis developed at MIT, Boston, USA. She was Postdoc at IIASS, Lecturer at Salerno University in Department of Physics (1996-2000), and Research Professor (2000-2002) at WSU in Department of Computer Science and Eng., OH, USA. She is Full  Professor at Campania University “L. Vanvitelli”. She is author of  300+ peer-reviewed publications in journals, books, and conference proceedings and editor-coeditor of 30+ books in the Springer series SIST, ISRL, LNCS and LNAI.

Marcos Faundez-Zanuy received the B.Sc. degree (1993) and the Ph.D. degree (1998), both from the Polytechnic University of Catalunya. He is Full Professor at ESUP Tecnocampus Mataro and heads the Signal Processing Group. His research interests lie in biometrics applied to security and health. He was Initiator and Chairman of the EU COST action 277 “Nonlinear speech processing” and Secretary of COST action 2102 “Cross-Modal Analysis of Verbal and Non-Verbal Communication”. He is author of 50+ papers indexed in ISI Journal citation report, 100+ conference papers, 10+ books, and PI of 10 national and EU funded projects.

Francesco Carlo Morabito joined the University of Reggio Calabria, Italy, in 1989 where he is a Full Professor (2001) of Electrical Engineering. He served as President of the Electronic Engineering Course, as Member of the University’s Inner Evaluation Committee, as Dean of the Faculty of Engineering, as Deputy Rector, and as Vice Rector for Internationalization. He is Member of the Steering Committee of the Italian Society of Electrical Engineering. He served as President of Siren(2008-2014), as a Governor of INNS (2000-2012, 2022-) and is Vice-President of INNS.

Eros G. Pasero is Professor of Electronics at Politecnico of Turin since 1991. He was Visiting Professor at ICSI Berkeley (1991), Tongji University, Shanghai (2011, 2015), and Tashkent Politechic University, Uzbekistan. His interests are in Artificial Neural Networks and Electronic Sensors. He heads the Neuronica Lab (1990) where wired and wireless sensors are developed for biomedical, environmental, automotive applications, and sensor signals that are processed by neural networks. Prof. Pasero is President of the Italian Society for Neural Networks (SIREN) and was General Chair of IJCNN2000, SIRWEC2006, and WIRN 2015. He received several awards and holds 5 international patents. He supervised 10 international Ph.D. and 100 master’s theses and is Author of 100+ international publications.

Von der hinteren Coverseite

This book provides an overview on the current progresses in artificial intelligence and neural nets in data science. The book is reporting on intelligent algorithms and applications modeling, prediction, and recognition tasks and  many other application areas supporting complex multimodal systems to enhance and improve human–machine or human–human interactions. This field is broadly addressed by the scientific communities and has a strong commercial impact since investigates on the theoretical frameworks supporting the implementation  of sophisticated computational intelligence tools. Such tools will  support multidisciplinary aspects of data mining and data processing characterizing appropriate system reactions to human-machine interactional exchanges in interactive scenarios. The emotional issue has recently gained increasing attention for such complex systems due to its relevance in helping in the most common human tasks (like cognitive processes, perception, learning, communication, and even "rational" decision-making) and therefore improving the quality of life of the end users.

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Verlag
Springer
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
9819935946
ISBN 13 
9789819935949
Einband
Taschenbuch
Anzahl der Seiten
376
Herausgeber
Esposito Anna, Faundez-Zanuy Marcos, Morabito Francesco Carlo, Pasero Eros
Kontakt zum Hersteller
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9789819935918: Applications of Artificial Intelligence and Neural Systems to Data Science: 360 (Smart Innovation, Systems and Technologies)

Vorgestellte Ausgabe

ISBN 10:  9819935911 ISBN 13:  9789819935918
Verlag: Springer-Verlag GmbH, 2023
Hardcover