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Information Systems Engineering and Management

Engineering, Technology and Management

Practices for Sustainable Manufacturing Industry, Volume 1

The Impact of Artificial Intelligence on Finance: Transforming Financial Technologies

Artificial General-Internet of Things (AG-IoT) for Robotics: Advanced Computer Vision Applications and Future Trends

Blockchain in the Tourism Industry: A New Era of Secure and Transparent Travel Solutions

Demystifying AI and ML for Cyber–Threat Intelligence

Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0

Revolution with Generative AI: Trends and Techniques

This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer’s, Parkinson’s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation.

Theoretical Insights with Practical Applications

Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises

Human Resources Development in a Digital Age

Beyond Passwords: Protecting Healthcare with Authentication Security

Navigating the Deepfake Conundrum: A Manager's Roadmap

ICT4GS-2024

International Conference on Technology Advances for Green Solutions and Sustainable Development

Future of AI, IoT, and Sustainability

Principles and Applications with Practical Perspectives

Hybrid Electric Vehicles

Emerging Materials and Technologies

This book explains the physical principles and theoretical basis of acoustics of nanofluids with mathematical rigor, focusing on concepts and points of view that have proven effective in applications such as heat transfer, petroleum science and technology, wastewater treatment, food processing, and hydrogen production.

Thermo-Acoustics of Nanofluids and Transfer Processes

This new edition textbook provides comprehensive knowledge and insight into various aspects of manufacturing technology, processes, materials, tooling, and equipment. Its main objective is to introduce the grand spectrum of manufacturing technology to individuals who will be involved in the design and manufacturing of finished products.

Materials, Processes, and Equipment

Manufacturing Technology

Innovations in Smart Manufacturing for Long-Term Development and Growth

This book is intended to serve as a comprehensive reference guide for academics, researchers, scholars, and professionals working in the fields of manufacturing processing, material science, and environmental engineering.

Green Technology and Smart Materials for Engineering Applications

Sealing and Vibrations of Centrifugal Machines

Communications in Computer and Information Science

This two-volume set, CCIS 2376 and CCIS 2377, constitutes proceedings from the First International Conference on Computational Technologies and Electronics, ICCTE 2023, held in Siliguri, India, during November 23-25, 2023.


The 46 full papers presented here were carefully selected and reviewed from 157 submissions. These papers have been organized in the following topical sections:


Pat I- Pattern recognition &amp; AI


Part II- Data communication &amp; security; Applied electronics.

First International Conference, ICCTE 2023, Siliguri, India, November 23–25, 2023, Proceedings, Part II

Computational Technologies and Electronics

Woodhead Publishing Series in Welding and Other Joining Technologies

Mechanical Joining by Material Flow provides sought-after experimental information on process design, process modeling, and joint characterization techniques for students, researchers, and engineering professionals who want to learn about advanced joining systems for lightweight materials. Chapters cover mechanical joining by plastic deformation, including clinching and self-piercing riveting, and friction-based processes, such as friction stir welding to form a mechanical joint. Though these processes are mainly used to establish metallurgical bonding, their unique characteristics and the material flow they generate has led to an increased use of these techniques for joining difficult-to-weld materials. Other sections introduce innovative technologies developed based on material flow to meet existing industry needs to join materials with different structural properties in different scales or shapes. To furnish readers with a more usefully comprehensive coverage, the team of experts behind the book has included methodological principles as well as discussions on advantages, drawbacks, and future directions of each technique, alongside application examples and case studies.

Mechanical Joining by Material Flow

Fundamentals of Turbulence and its Modeling

Routledge Research Collections for Construction in Developing Countries

This book delves into the pivotal issue of Indoor Air Quality (IAQ) management in municipal buildings within developing economies, addressing a pressing need in today's digital age, where individuals spend over 70% of their time indoors.

An Indoor Air Quality Management Framework for Municipal Buildings in Developing Economies

Produktentwicklung und Konstruktionstechnik

Technische Produkte, die während ihres Betriebs Schwingungen ausgesetzt sind, sind auf die damit einhergehenden Belastungen auszulegen. Durch die Anpassung ihrer Schnittstellen können diese Belastungen begrenzt werden. Die Verwendung von Schnittstellenelementen mit einstellbaren mechanischen Eigenschaften, so definierte anpassbare Impedanzelemente, ermöglichen eine effizientere Untersuchung des erweiterten Systems aus Produkt und Schnittstelle. In dieser Arbeit wird ein systematisches Vorgehen entwickelt, das konkrete Anforderungen an anpassbare Impedanzelemente stellt. Es unterstützt die notwendige Bestimmung der Systemeigenschaften und ermöglicht eine effiziente Umsetzung auch bei hoher Produktvarianz und einer Vielzahl abzubildender Schnittstelleneigenschaften. Der modulare Aufbau der Elemente und ein begleitender Auswahlkatalog ermöglichen eine effiziente Untersuchung der Schwingungseigenschaften von Produktfamilien. Die technische Umsetzung wird anhand zweier Produktfamilien aus der Flugzeugkabine demonstriert. Das entwickelte Vorgehen ermöglicht die Auswahl und Entwicklung geeigneter Schnittstellen, mit denen die Schwingungen um bis zu 65 % reduziert werden.Der AutorEmil Heyden studierte Maschinenbau mit der Vertiefungsrichtung Produktentwicklung an der TU Hamburg (TUHH). Von 2018 bis 2023 war er als wissenschaftlicher Mitarbeiter am Institut für Produktentwicklung und Konstruktionstechnik (PKT) tätig. In dieser Zeit forschte er zur Schwingungsoptimierung und Gestaltung leichtbaugerechter Produktarchitekturen für zukünftige Flugzeuggenerationen. Er veröffentlichte seine Forschungsergebnisse in Journal-, Buch- und Konferenzbeiträgen. Parallel war er als freiberuflicher Dozent und Vorstandsassistent der Wissenschaftlichen Gesellschaft für Produktentwicklung (WiGeP) tätig. Seit 2024 arbeitet er als leitender Entwicklungsingenieur bei der Vibracoustic SE, wo er für die Entwicklung und Konstruktion von Luftfedern für den asiatischen Markt verantwortlich ist.

Vorgehen zur Schwingungsreduzierung durch anpassbare Impedanzelemente am Beispiel varianter Leichtbaustrukturen

An authoritative new exploration of the latest theoretical and applied advances in Linear Parameter-Varying systems In Linear Parameter-Varying Control: Theory and Application to Automotive Systems, distinguished researcher Dr. Olivier Sename delivers a comprehensive and up-to-date discussion of the theoretical aspects and real applications of Linear Parameter-Varying (LPV) control, with a strong focus on systems theory and in real automotive systems. The author covers the primary methods used to model, control, and analyze LPV systems, and illustrates how to model those systems using examples. This book covers developing adaptive LPV control using the provided recipes as guides and contextual aids as well as discovering effective methods to design LPV controllers that have already been validated through real applications. Readers will also find: <ul><li>A thorough introduction to vehicle dynamics control in automated vehicles, as well as suspension control</li><li>Comprehensive explorations of LPV systems modelling, including dynamical systems</li><li>Practical discussions of the properties of LPV systems, including controllability, observability, and stability</li><li>Complete treatments of LPV systems control, including state feedback control and dynamic output feedback LPV control</li></ul> Perfect for researchers and students with an interest in vehicle dynamics, Linear Parameter-Varying Control will also benefit postgraduate and PhD students, control engineers, and academics teaching control theory and applications courses.

Engineering, Technology and Management

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