{"product_id":"9783032389060","title":"Recent Advances in Hybrid Neural Networks Theory, Methods, and Applications","description":"\u003ch3\u003eSmart Innovation, Systems and Technologies\u003c\/h3\u003e\u003ch1\u003eRecent Advances in Hybrid Neural Networks\u003c\/h1\u003e\u003ch2\u003eTheory, Methods, and Applications\u003c\/h2\u003e\u003ch3\u003eAnna Esposito | Marcos Faundez-Zanuy | Francesco Carlo Morabito | Eros Pasero | Gennaro Cordasco\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Applied\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp\u003eThis book offers a comprehensive survey of recent progress in hybrid neural networks, combining theoretical foundations, methodological advances, and application‑driven research across diverse scientific and engineering domains. Neural networks are increasingly advancing beyond purely data‑driven paradigms toward hybrid approaches that integrate machine learning with physical laws, domain constraints, causal reasoning, and human expertise. The chapters included in the bookoriginate from peer‑reviewed contributions presented at an international conference and two specialized workshops focused on artificial intelligence for civil engineering, industrial systems, and business applications. Collectively, the authorsexamine how hybrid neural models improve interpretability, robustness, fairness, and generalization—capabilities essential for deploying AI in safety‑critical and high‑impact environments. Methodologically, the bookcovers a wide range of hybrid learning paradigms, including physics‑informed neural networks, hybrid multi‑scale architectures, graph neural networks, transformer‑based and vision models, and entropy‑guided analyses of deep learning systems. Additional chapters explore learning strategies grounded in causal principles, physically inspired regularization, and human‑in‑the‑loop optimization. A substantialportion of the book is devoted to real‑world applications. In engineering and the physical sciences, the bookincludes studies on seismic monitoring, structural and architectural optimization, synthetic data generation, smart energy management, load disaggregation, and atmospheric retrieval for exoplanet investigation. Further chapters examine economic, social, and industrial use cases, including financial forecasting, insurance and sales analytics, fairness‑aware decision‑support systems, social well‑being estimation, and AI‑enhanced manufacturing aligned with Industry 5.0. By unifying theoretical principles, computational models, and practical applications within a hybrid neural framework, this book highlights the growing role of neural networks as interpretable, trustworthy, and domain‑aware systems. It serves as a timely reference for researchers, advanced students, and practitioners seeking to design and implement next‑generation neural solutions that bridge the gap between data, structured knowledge, and real‑world decision‑making.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003eAnna Esposito received her Laurea degree summa cum laude from the University of Salerno and a Ph.D. from the University of Naples “Federico II,” completing her doctoral work at the Massachusetts Institute of Technology. She has previously held positions as Assistant Professor at the University of Salerno and Research Professor at Wright State University. She is currently Full Professor in cybernetics, artificial intelligence, and multimodal communication at Università della Campania “L. Vanvitelli,” where she leads the Behaving Cognitive Systems Laboratory. She also serves as President of SIREN and Chair of the IAPR Conferences \u0026amp; Meetings Committee. Her scientific output includes more than 320 peer‑reviewed publications and over 32 edited international volumes. \u003c\/p\u003e\n\u003cp\u003eMarcos Faundez‑Zanuy earned his B.Sc. in telecommunications and Ph.D. from the Polytechnic University of Catalunya. He is Full Professor at Tecnocampus, Universitat Pompeu Fabra, where he leads the Signal Processing Group. His research areas include biometrics, speech processing, and intelligent systems. He has chaired and contributed to several European COST Actions related to nonlinear speech and multimodal communication. He has authored more than 100 ISI‑indexed journal papers, over 100 conference articles, and several books. \u003c\/p\u003e\n\u003cp\u003eFrancesco Carlo Morabito received his Laurea degree summa cum laude from the University of Naples and subsequently served as Researcher in the Radar Department of Selenia SpA. He joined the University of Reggio Calabria, where he progressed from Research Associate to Associate Professor and is now Full Professor of electrical engineering. He has held numerous academic leadership roles, including Dean of the Faculty of Engineering and Vice‑Rector for Internationalization. His teaching experience spans EPFL Lausanne and several Italian universities. He has authored more than 280 scientific publications, edited multiple academic volumes, and received several distinctions, including membership in the Royal Academy of Doctors and the Henry Coanda Gold Medal.  \u003c\/p\u003e\n\u003cp\u003eEros G. Pasero has been Professor of electronics at the Politecnico di Torino since 1991, following an earlier appointment at the University of Rome. He has held visiting positions at international institutions including ICSI–UC Berkeley, Tongji University in Shanghai, and TTPU in Tashkent, where he also served as Vice‑Rector. His research focuses on artificial neural networks and electronic sensors, and he founded the Neuronica Laboratory to advance neuromorphic systems and sensor‑based intelligent applications. He has published over 100 international works, supervised numerous graduate students, holds several patents, and has chaired major international conferences. \u003cbr\u003eGennaro Cordasco received his Laurea degree (cum laude) and Ph.D. in computer science from the University of Salerno. He conducted research as Scholar at the University of Massachusetts Amherst in the Theoretical Aspects of Parallel and Distributed Systems Laboratory. He subsequently served as Post‑Doctoral Fellow and later as Assistant Professor at Università della Campania “Luigi Vanvitelli.” He is currently Associate Professor in the Department of Computer Science at the University of Salerno. His research areas include distributed systems, algorithms, and computational models. He also serves as Associate Editor for cognitive computation and the Journal of Ambient Intelligence and Humanized Computing. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e20 November 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032389060\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e342\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":51945948938380,"sku":"9783032389060","price":179.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032389060.jpg?v=1786039441","url":"https:\/\/lateknightbooks.com\/products\/9783032389060","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}