This book brings together a collection of rigorously peer-reviewed chapters that present recent theoretical, methodological, and applied developments in circuits, systems, and related interdisciplinary fields. This book reflects current research trends that combine classical system theory with emerging computational and data-driven approaches.
This book addresses key topics in modern engineering, including stochastic modeling and estimation, passivity analysis of multivariable systems, advanced optimization methods, and power and energy system analysis. Several chapters focus on practical challenges such as voltage stabilization following fault conditions, stochastic power flow in distribution networks, and monitoring of complex industrial processes using deep-learning techniques.
The growing impact of artificial intelligence on circuits and systems is highlighted through studies on ensemble learning for cybersecurity in IoT environments, reinforcement learning for adaptive control and dispatch, and automated analysis of AI-generated code. Additional chapters extend system-theoretic and optimization frameworks to applications in public health, workforce planning, organizational dynamics, and social choice modeling.
This book is intended for researchers, graduate students, and practitioners in electrical and computer engineering, control systems, and applied mathematics who seek an authoritative overview of current advances and emerging directions in circuits and systems research.
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This book brings together a collection of rigorously peer-reviewed chapters that present recent theoretical, methodological, and applied developments in circuits, systems, and related interdisciplinary fields. This book reflects current research trends that combine classical system theory with emerging computational and data-driven approaches.
This book addresses key topics in modern engineering, including stochastic modeling and estimation, passivity analysis of multivariable systems, advanced optimization methods, and power and energy system analysis. Several chapters focus on practical challenges such as voltage stabilization following fault conditions, stochastic power flow in distribution networks, and monitoring of complex industrial processes using deep-learning techniques.
The growing impact of artificial intelligence on circuits and systems is highlighted through studies on ensemble learning for cybersecurity in IoT environments, reinforcement learning for adaptive control and dispatch, and automated analysis of AI-generated code. Additional chapters extend system-theoretic and optimization frameworks to applications in public health, workforce planning, organizational dynamics, and social choice modeling.
This book is intended for researchers, graduate students, and practitioners in electrical and computer engineering, control systems, and applied mathematics who seek an authoritative overview of current advances and emerging directions in circuits and systems research.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book brings together a collection of rigorously peer-reviewed chapters that present recent theoretical, methodological, and applied developments in circuits, systems, and related interdisciplinary fields. This book reflects current research trends that combine classical system theory with emerging computational and data-driven approaches.This book addresses key topics in modern engineering, including stochastic modeling and estimation, passivity analysis of multivariable systems, advanced optimization methods, and power and energy system analysis. Several chapters focus on practical challenges such as voltage stabilization following fault conditions, stochastic power flow in distribution networks, and monitoring of complex industrial processes using deep-learning techniques.The growing impact of artificial intelligence on circuits and systems is highlighted through studies on ensemble learning for cybersecurity in IoT environments, reinforcement learning for adaptive control and dispatch, and automated analysis of AI-generated code. Additional chapters extend system-theoretic and optimization frameworks to applications in public health, workforce planning, organizational dynamics, and social choice modeling.This book is intended for researchers, graduate students, and practitioners in electrical and computer engineering, control systems, and applied mathematics who seek an authoritative overview of current advances and emerging directions in circuits and systems research. 274 pp. Englisch. Bestandsnummer des Verkäufers 9783032203618
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Taschenbuch. Zustand: Neu. Recent Advances in Communications and Computers | Nikos E. Mastorakis (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | viii | Englisch | 2026 | Springer | EAN 9783032203618 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 135154710
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book brings together a collection of rigorously peer-reviewed chapters that present recent theoretical, methodological, and applied developments in circuits, systems, and related interdisciplinary fields. This book reflects current research trends that combine classical system theory with emerging computational and data-driven approaches.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 284 pp. Englisch. Bestandsnummer des Verkäufers 9783032203618
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book brings together a collection of rigorously peer-reviewed chapters that present recent theoretical, methodological, and applied developments in circuits, systems, and related interdisciplinary fields. This book reflects current research trends that combine classical system theory with emerging computational and data-driven approaches.This book addresses key topics in modern engineering, including stochastic modeling and estimation, passivity analysis of multivariable systems, advanced optimization methods, and power and energy system analysis. Several chapters focus on practical challenges such as voltage stabilization following fault conditions, stochastic power flow in distribution networks, and monitoring of complex industrial processes using deep-learning techniques.The growing impact of artificial intelligence on circuits and systems is highlighted through studies on ensemble learning for cybersecurity in IoT environments, reinforcement learning for adaptive control and dispatch, and automated analysis of AI-generated code. Additional chapters extend system-theoretic and optimization frameworks to applications in public health, workforce planning, organizational dynamics, and social choice modeling.This book is intended for researchers, graduate students, and practitioners in electrical and computer engineering, control systems, and applied mathematics who seek an authoritative overview of current advances and emerging directions in circuits and systems research. Bestandsnummer des Verkäufers 9783032203618
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