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Zhang Q: Compaction Quality
Nondestructive Testing and Intelligent

Compaction Quality Nondestructive Testing and Intelligent Control Technology for Infrastructure

Digital twins represent an emerging technology of immense potential across various industries. Their significance is particularly pronounced within Industry 4.0 and smart manufacturing paradigms, which strive to elevate efficiency and quality through seamless digital integration. By amassing and scrutinizing extensive data streams, digital twins empower data-centric decision-making-a pivotal asset in contemporary industry. Digital Twins of Advanced Materials Processing bridges the gap in comprehensive resources concerning advanced materials processing, a domain characterized by rapid evolution. It provides pragmatic remedies and real-world case studies, catering to tangible implementation needs. Moreover, digital twins hold the capacity to amplify efficiency and innovation within materials processing-a perspective deeply explored within this book, rendering it invaluable for professionals, researchers, and students alike. The prospects of employing digital twins in materials processing span diverse horizons: refining materials innovation, streamlining processes, enabling data-driven maintenance, enhancing product quality, and unearthing insights rooted in data. The book also undertakes the challenge of addressing key issues encompassing data amalgamation and integrity, model validation and calibration, software and data safeguarding, scalability, and cost considerations.

Digital Twins of Advanced Materials Processing

Advances in Potato Chemistry and Technology, Third Edition is a comprehensive guide that explores the identification, analysis, and application of chemical components in potatoes for both food and non-food uses. This edition thoroughly revises and updates previous content, offering foundational science on potato components, structure, and functional components. The book further delves into the variety of potatoes, their storage conditions, and optimal processing methods. Editors Singh and Kaur have collaborated with global experts to provide insights into emerging areas, including genetic modification, health benefits, food security contributions, and waste utilization. Ideal for academic and industry food scientists, food chemists, and nutritionists, this book is also valuable for those involved in food security and advanced-level food science students. It includes information on the burgeoning field of genetic modification, the role of potatoes in human health, and their impact on food security. Additionally, the book addresses the reduction and utilization of potato waste, making it a vital resource for anyone interested in the multifaceted applications of potatoes.

Advances in Potato Chemistry and Technology

Medical Robots and Devices: New Developments and Advances

From Technology to Clinical Practice

Robotics for Intervention in Healthcare

Green Federated Learning for Sustainable Smart Computing

Shaping the Future of Cities

AI-Driven Urban Planning

Resistance in the Age of Artificial Intelligence

Algorithmic Capital

Embedded System and GUI Development using MATLAB for Engineering Applications

Ob in der Datenerfassung, der Fan-Interaktion, der Trainingssteuerung oder der Sportmedizin – überall sind die Auswirkungen von Digitalisierung und Innovation im sportlichen Kontext spürbar. Dieses Handbuch greift die spannende Schnittstelle zwischen Sportwissenschaft, Digitalisierung und Innovation auf und erläutert, wie innovative Technologien den Sport revolutioniert haben und zukünftig weiter revolutionieren werden.Inhaltlich wird ein umfassendes Spektrum an Themen behandelt, wie z. B. Innovationsmanagement, künstliche Intelligenz, maschinelles Lernen, Big Data-Analyse, Augmented Reality sowie Fallstudien und Praxisbeispiele mit Bezug zum Sport und zur Sportwissenschaft. Diese sind wiederum breitgefächert und umfassen beispielsweise die Sportlehrer*innenbildung, den Schulsport, den Alterssport, sowie den Vereins- und Profisport. &nbsp;Für Trainer*innen, Profisportler*innen, Manager*innen, Lehrkräfte, Wissenschaftler*innen, Studierende und Technologiebegeisterte ist dieses Handbuch daher ein unverzichtbares Nachschlagewerk, um erfolgreich im modernen Sportumfeld zu navigieren. Der HerausgeberProf. Dr. Daniel Memmert&nbsp;ist geschäftsführender Institutsleiter und Professor am Institut für Trainingswissenschaften und Sportinformatik an der Deutschen Sporthochschule Köln. Er ist Herausgeber und Autor zahlreicher Lehrbücher mit Arbeitsschwerpunkten in der Bewegungswissenschaft sowie in der Sportpsychologie und -informatik. Sein Institut organisiert zwei Zertifikatsstudiengänge (Spielanalyse Team Köln / Sportdirektor*in im Nachwuchsleistungs- und Amateurfußball) sowie den ersten internationalen Weiterbildungs-Masterstudiengang „Spielanalyse“.

Handbuch Sport und Sportwissenschaft

Digitalisierung und Innovation im Sport und in der Sportwissenschaft

Comprehensive guide to streamlining the design optimization process of intelligent robots using MODENA (MOdular DEsigN Automation) Modular Design Automation of Intelligent Robot Systems introduces MODENA (MOdular DEsigN Automation) as a new approach to the design of intelligent robots by harnessing computational intelligence techniques like genetic programming and constrained multi-objective evolutionary algorithms. It also covers different aspects of robot design, including physical structure, control, and vision systems. Case studies are included throughout the text to aid in the practical application of concepts. The book also provides information on: <ul> <li>Methods in the design automation of electronic systems, micro-electro-mechanical systems (MEMS), complex mechatronic systems, and intelligent robotic systems</li> <li>MODENA#s advantage in avoiding the frequent trial-and-error processes inherent in traditional design methods, instead promoting the automatic discovery of innovative designs</li> <li>MODENA as a more interpretable alternative to supplement ChatGPT and other generative AI based on LLMs</li> <li>Automated design of intelligent robotic systems like teaching manipulators, mechanical printers, and quarter-car suspensions as well as swarm robotic systems</li> </ul> Modular Design Automation of Intelligent Robot Systems is an excellent reference on the subject for professionals, researchers, and students in robotics, automation, and artificial intelligence.

Modular Design Automation of Intelligent Robot Systems

Eeg Signal Classification Using Machine Learning

Art in the Age of AI

How to See Like a Machine

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools-just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

Compaction Quality Nondestructive Testing and Intelligent Control ...

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