Neural Networks: Overview of Current Theories and Applications
Springer Verlag, Singapore
978-981-95-4071-6 (ISBN)
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ANNA ESPOSITO earned a Laurea Degree (Summa cum laude) from Salerno University and a PhD from Naples "Federico II". Visiting researcher at MIT, RLE Lab (1993-1995). Assistant Professor at Salerno University (1996-2008) and Research Professor at Wright State University, USA (2000-2002). Full Professor (2020-present) in Cybernetics, AI, and Multimodal Communication at Università della Campania "L. Vanvitelli". Head of the Behaving Cognitive Systems Lab and President of the Italian Society of Neural Networks (2022-present). Principal Investigator of multiple EU and Italian projects, supervisor of numerous PhD students, author of 320+ publications and editor of 32+ international books. Associate Editor of several journal among those Cognitive Computation (Elsevier). MARCOS FAUNDEZ-ZANUY was born in Barcelona, Spain. He received the B.Sc. in Telecommunication (1993) and the Ph.D. (1998) from the Polytechnic University of Catalunya. He is Full Professor at Tecnocampus Universitat Pompeu Fabra, where he leads the Signal Processing Group. His research focuses on biometrics for security and health. He initiated and chaired the European COST Action 277 on nonlinear speech processing and was secretary of COST Action 2102 on verbal and non-verbal communication. He has published over 100 ISI-indexed journal papers, 100+ conference papers, and 10 books, leading multiple national and European research projects. FRANCESCO CARLO MORABITO was born in Italy, he earned a Laurea Degree (Summa cum laude) from the University of Napoli in 1985. After serving as Lieutenant at the Italian Army Technical School, he worked at Selenia SpA as a Researcher in Radar (1987-1989). He joined the University of Reggio Calabria in 1989, becoming Full Professor in 2001 and Vice-Rector for Internationalisation. He was Dean of Engineering (2001-2008) and held various academic leadership roles. Visiting researcher at Max-Planck Institute (1994-2001) and lecturer at EPFL Lausanne. Author of 280+ papers, 10 book chapters, and 6 edited books. Former President of the Italian Society of Neural Networks and Board Member of INNS. Associate Editor of Neural Networks (Elsevier) and Editorial Board member for multiple journals. EROS G. PASERO has been Professor of Electronics at Politecnico di Torino since 1991, after four years at University of Roma. Visiting Professor at ICSI, UC Berkeley (1991), Tongji University, Shanghai (2011, 2015), and TTPU, Tashkent, where he was also Vice-Rector (2014). Expert in Artificial Neural Networks and Electronic Sensors, he founded the Neuronica Lab (1990) for neuromorphic research. Developed hardware neurons and synapses, as well as wired/wireless sensors for biomedical, environmental, and automotive applications. He has been President of SIREN (2014-2022) and chair of major international conferences. Holds 5 international patents, supervised numerous PhDs, and authored 100+ publications. Leads funded research projects in AI, mobility, and sensor technology. GENNARO CORDASCO earned a Laurea degree (cum laude) in Computer Science from the University of Salerno (2002) and a PhD (2006). Visiting Scholar at University of Massachusetts, Amherst (2005) under Prof. Arnold L. Rosenberg. Postdoctoral fellow at ISISLab, University of Salerno (2006-2011). Researcher (2011-2020) and then Associate Professor (2020-2025) at Università della Campania "L. Vanvitelli". Since 2025, Associate Professor at the University of Salerno. Associate Editor of Cognitive Computation (Elsevier) and Journal of Ambient Intelligence and Humanized Computing.
Michele La Rocca, Cira Perna and Marilena Sibillo "A robust non linear Lee-Carter type model for mortality rate".- Michele Scarpiniti and Aurelio Uncini "Exploiting phase information for the identification of Brugada syndrome A preliminary study".
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Smart Innovation, Systems and Technologies |
| Zusatzinfo | 169 Illustrations, color; 14 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Technik | |
| Schlagworte | Artificial Intelligence • Big data analysis • biometric data • Deep Learning Architectures • deep neural networks • Machine Leaning Methods • Neural networks • User Modelling |
| ISBN-10 | 981-95-4071-2 / 9819540712 |
| ISBN-13 | 978-981-95-4071-6 / 9789819540716 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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