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Mitchell H: Data Fusion

Data Fusion

Concepts, Ideas and Deep Learning

Das Buch führt anschaulich und verständlich in das Gebiet der intelligenten Verfahren ein. In geschlossenen Darstellungen zeigt es zuerst die theoretischen Grundlagen und anschließend praktische Beispiele, wobei bei den Beispielen auch fehlerhafte Ansätze gezeigt werden.Ausgehend von linearen Systemen und ihren Einschränkungen werden nichtlineare Systeme sowie grundlegende Lernverfahren eingeführt. Darauf aufbauend werden intelligente Verfahren, z.B. der lernfähige, nichtlineare Beobachter, entwickelt sowie die Identifikation von nichtlinearen Systemen und deren Optimierung behandelt. &nbsp;Anschließend werden Regelungsverfahren von nichtlinearen Systemen vorgestellt, wobei die modellbasierte adaptive Regelung sowie die Regelung von unbekannten Systemen Schwerpunkte sind. Den Abschluss bildet ein Kapitel über Fuzzy-Logik.Die Verfahren können bei vielen nichtlinearen Systemen angewendet werden und wurden bereits äußerst erfolgreich in der Medizin, in der Robotik und in der Getriebesteuerung von Hybridfahrzeugen eingesetzt.Neu an der zweiten Auflage sind Kapitel über robuste Schätzverfahren und Concurrent Learning.Die ZielgruppenDas Werk richtet sich an Studierende &nbsp;und Wissenschaftler der Ingenieurwissenschaften, Informatik und Mathematik sowie Ingenieure in der Praxis.Die AutorenUniv.-Prof. i .R. Dr.-Ing. Dr.-Ing. h.c. Dierk Schröder, Fellow IEEE, Technische Universität München, Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik&nbsp;Univ.-Prof. Dr.-Ing./Univ. Tokio habil. Martin Buss, Fellow IEEE, Technische Universität München, Lehrstuhl für Steuerungs- und Regelungstechnik

Anschauliche und verständliche Einführung in das Gebiet der intelligenten Verfahren&nbsp;Verfahren können für alle nichtlinearen Systemen angewendet werdenDie geschlossene Darstellung zeigt die theoretischen Grundlagen und praktische Beispiele

Identifikation und Regelung nichtlinearer Systeme

Intelligente Verfahren

Applications and Innovations

Computational Intelligence and Image Processing in Agriculture

Ethik in KI und Robotik

Advanced and Intelligent Manufacturing in China

This book brings together the vast majority of the existing popular image processing algorithms, with the simple illustrated method to explain the complex theoretical algorithms; each algorithm is given a practical application case, which is one of the main features of the book.&nbsp; There are two parts in the book.&nbsp; The first part "Machine Vision Theory and Algorithms" includes machine vision, image processing, target extraction, edge detection, image smoothing, geometric parameter detection, Hough transform, geometric transform, monocular vision measurement, binocular vision measurement, motion image processing, Fourier transform, wavelet transform, pattern recognition, neural network, deep learning, and genetic algorithm.&nbsp; The second part "Machine Vision Application System" includes the universal image processing system ImageSys, two-dimensional motion image measurement and analysis system MIAS, three-dimensional motion measurement and analysis system MIAS3D, vehicle vision navigation system.&nbsp; The book is not only suitable for machine vision and image processing professional theory combined with practice teaching, for the related professional researchers and technicists also has an important reference value.

Machine Vision Technology

The Case of National Libraries

AI Innovations in Public Services

Advances in Science, Technology & Innovation

Humans Interacting with Embodied Technologies, Vol. 1

Hybrid Societies

A hands-on resource designed to teach the mathematics of signals and systems with MATLAB In this newly revised second edition of Practical Signals Theory with MATLAB Applications, Richard Tervo delivers an articulate presentation of the mathematics underlying real world engineering applications and everyday electronic devices. The new edition provides extended coverage of communication systems--including digital and spread spectrum communications--as well as a new introductory chapter on using MATLAB as a tool to visualize the mathematics of signals and systems. The text contains numerous hands-on examples and expanded end-of-chapter exercises. It is a one-stop reference for signals and systems, explaining aspects of commonplace signal types, orthogonality and signal decomposition, transformations, and the graphical presentation of calculations and results. Readers will also find: <ul> <li>A solid introduction to the mathematics of continuous and discrete signals represented in time and frequency domains</li> <li>Thorough coverage of the classic Fourier, Laplace and z-transforms, and their many applications</li> <li>New end-of-chapter worked exercises, a variety of in-line study questions with answers and easily reproducible MATLAB code demonstrations</li> <li>Bonus material on related applications in different fields of study and a companion website designed to support additional learning</li> </ul> Perfect for undergraduate and graduate students of signals and systems, signals theory, and related areas of electrical engineering, Practical Signals Theory with MATLAB Applications will also benefit researchers and professors in the field of system design and signal processing.

Practical Signals Theory with MATLAB Applications

This comprehensive guide delivers the practical knowledge DBAs and architects need to implement, optimize, and scale Oracle GoldenGate 23ai in production environments. Written by Oracle ACE Director Bobby Curtis, it blends deep technical expertise with real-world business insights from hundreds of implementations across manufacturing, financial services, and technology sectors. Beyond traditional replication, this book explores the groundbreaking capabilities that make GoldenGate 23ai essential for modern AI initiatives. Learn how to implement real-time vector replication for RAG systems, integrate with cloud platforms like GCP and Snowflake, and automate deployments using REST APIs and Python. Each chapter offers proven strategies to deliver measurable ROI while reducing operational risk. Whether you're upgrading from Classic GoldenGate, deploying your first cloud data pipeline, or building AI-ready data architectures, this book provides the strategic guidance and technical depth to succeed. With Bobby's signature direct approach, you'll avoid common pitfalls and implement best practices that scale with your business.What You Will Learn • &nbsp; &nbsp;Master the microservices architecture and new capabilities of Oracle GoldenGate 23ai • &nbsp; &nbsp;Implement secure, high-performance data replication across Oracle, PostgreSQL, and cloud databases • &nbsp; &nbsp;Configure vector replication for AI and machine learning workloads, including RAG systems • &nbsp; &nbsp;Design and build multi-master replication models with automatic conflict resolution • &nbsp; &nbsp;Automate deployments and management using RESTful APIs and Python • &nbsp; &nbsp;Optimize performance for sub-second replication lag in production environments • &nbsp; &nbsp;Secure your replication environment with enterprise-grade features and compliance • &nbsp; &nbsp;Upgrade from Classic to Microservices architecture with zero downtime • &nbsp; &nbsp;Integrate with cloud platforms including OCI, GCP, AWS, and Azure • &nbsp; &nbsp;Implement real-time data pipelines to BigQuery, Snowflake, and other cloud targets • &nbsp; &nbsp;Navigate Oracle licensing models and optimize costs • &nbsp; &nbsp;Troubleshoot complex replication scenarios with proven methodologies

Transform your data replication strategy into a competitive advantage with Oracle GoldenGate 23ai.This comprehensive guide delivers the practical knowledge DBAs and architects need to implement, optimize, and scale Oracle GoldenGate 23ai in production environments. Written by Oracle ACE Director Bobby Curtis, it blends deep technical expertise with real-world business insights from hundreds of implementations across manufacturing, financial services, and technology sectors.Beyond traditional replication, this book explores the groundbreaking capabilities that make GoldenGate 23ai essential for modern AI initiatives. Learn how to implement real-time vector replication for RAG systems, integrate with cloud platforms like GCP and Snowflake, and automate deployments using REST APIs and Python. Each chapter offers proven strategies to deliver measurable ROI while reducing operational risk.Whether you're upgrading from Classic GoldenGate, deploying your first cloud data pipeline, or building AI-ready data architectures, this book provides the strategic guidance and technical depth to succeed. With Bobby's signature direct approach, you'll avoid common pitfalls and implement best practices that scale with your business.What You Will Learn<ul><li>Master the microservices architecture and new capabilities of Oracle GoldenGate 23ai</li><li>Implement secure, high-performance data replication across Oracle, PostgreSQL, and cloud databases</li><li>Configure vector replication for AI and machine learning workloads, including RAG systems</li><li>Design and build multi-master replication models with automatic conflict resolution</li><li>Automate deployments and management using RESTful APIs and Python</li><li>Optimize performance for sub-second replication lag in production environments</li><li>Secure your replication environment with enterprise-grade features and compliance</li><li>Upgrade from Classic to Microservices architecture with zero downtime</li><li>Integrate with cloud platforms including OCI, GCP, AWS, and Azure</li><li>Implement real-time data pipelines to BigQuery, Snowflake, and other cloud targets</li><li>Navigate Oracle licensing models and optimize costs</li></ul>Who This Book Is ForDatabase administrators, architects, and IT leaders working with Oracle GoldenGate—whether deploying for the first time, migrating from Classic architecture, or enabling AI-driven replication—will find actionable guidance on implementation, performance tuning, automation, and cloud integration. Covers unidirectional and multi-master replication and is packed with real-world use cases.

Data Fusion

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