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Gesamtkatalog

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Engineering (R0)

Nishu Gupta

Jose David Diaz Roman

Decision Support Systems for Industrial and Scientific Applications

&lt;p&gt;Introduction.- Anomaly Detection in Smart Manufacturing Using an Intelligent Decision Support System with Applications in Supply Chain Management.- Lung and colon cancer detection system in histopathological images based on deep transfer Learning.- Design of an application to support the diagnosis of skin cancer using deep learning.- Enhancing Vascular Structure from Computed Tomography Angiography Images using Score-based Generative Models.- Remote medical assistance y wearable devices in health applications.- Product Demand Forecasting in the Industry 4.0 through machine learning and Intelligent Decision Support Systems.- Application of the Sugeno-Takagi-Kang considering fuzzy logic for demand forecasting in the supply chain: a Fuzzy temporary series forecast model (FTS) proposal.- Optimizing a Smart City’s Urban Park Lighting using Monkey Algorithm.- Intelligent System for Multimedia Data Analysis in Industry 4.0 using a Smart color management approach.- Technologies for Vehicle Classification in Intelligent Traffic Systems: Advances, Challenges, and Perspectives.- Conclusion.&lt;/p&gt;


Springer Series in Supply Chain Management

This book focuses on the most recent advancements in the application of digital and innovative technologies for strengthening health supply chains in Africa. While substantial evidence shows how these digital technologies have helped increase health supply chain visibility, efficiency and performance in developed countries, little is known about&nbsp;the challenges and success to apply, adopt and implement in the African context. Therefore, this book brings together contributions from scholars and professionals to form a compendium of practices, challenges, success/failure factors, impact, and socio-cultural peculiarities associated with the adoption and implementation of new digital technologies in transforming health supply chains in various African countries. It helps readers gain insight into the role of technologies and innovations in health supply chain management, as well as for understanding successful and unsuccessful implementation cases in African countries, and how similar scenarios can be replicated or avoided.The book offers a comprehensive guide for educators, researchers, management professionals, non-governmental organizations, and policymakers on how to effectively drive supply chain digital transformation in Africa’s healthcare system.

Achievements, Challenges and Impact

Digitalizing Health Care Supply Chains in Africa

Industrialized Construction in the Age of AI and Robotics explores the transformative convergence of artificial intelligence, robotics, and modern construction methods. This comprehensive textbook reveals how cutting-edge technologies are reshaping the construction industry, offering unprecedented improvements in efficiency, quality, and sustainability.From fundamental concepts to practical applications, the book is divided into three sections. Part One establishes the foundational principles of industrialized construction and introduces the revolutionary potential of AI and robotics. Part Two delves deep into six critical operational areas: AI-driven design systems, agile production processes, intelligent supply chain management, automated on-site assembly, predictive maintenance, and smart work packaging. The final section examines current challenges, from technical and financial constraints to regulatory considerations, before exploring emerging trends and future innovations. Each chapter features detailed case studies and practical examples that bridge theory and real-world implementation.Written for a diverse audience, this essential resource serves as both an academic textbook and a professional reference. Students in Civil Engineering, Industrial Engineering, Construction Engineering and Management, and AI &amp; Robotics programs will find it invaluable for understanding the intersection of these disciplines. Industry practitioners, including construction managers, project engineers, and technology integrators, will gain practical insights into implementing AI and robotics solutions. Whether you're preparing for a career in modern construction, leading technological transformation in your organization, or conducting advanced research in the field, this book provides the interdisciplinary knowledge needed to succeed in construction's AI-driven future.

Industrialized Construction in the Age of AI and Robotics

KI-Compliance im Unternehmen: Schlüssel zur Haftungsvermeidung und Wettbewerbsfaktor

Künstliche Intelligenz ist längst Teil unternehmerischer Praxis - und bringt komplexe rechtliche Herausforderungen mit sich. Welche Vorschriften gelten? Wo lauern Haftungs- und Reputationsrisiken? Wie lässt sich der KI-Einsatz rechtssicher gestalten? Gefragt ist Anwendungswissen - fundiert, praxisnah und mit Blick auf alle relevanten Rechtsgebiete.

Der neue Praxisleitfaden
<li>erläutert die Anforderungen der KI-VO und weiterer zentraler Vorschriften
</li><li>zeigt die rechtlichen Implikationen im Urheber-, Patent-, Marken-, Design-, Datenschutz-, Geschäftsgeheimnis- und Arbeitsrecht
</li><li>behandelt aktuelle Themen wie Hochrisiko-KI-Systeme, verbotene Praktiken, Transparenzpflichten, KI-Bias, Profiling und KI-Werbung
</li><li>liefert praxisorientierte Hilfsmittel: Checklisten, Schaubilder, Mustertexte und Organigramme.

Die klare Struktur folgt den drei Phasen des KI-Einsatzes: 
1. Erwerb und Entwicklung
2. Fütterung mit Daten
3. Nutzung und Output

So finden Nutzer:innen gezielt Antworten auf Fragen wie:
- Welche rechtlichen Vorgaben gelten in welcher Phase?
- Wie lassen sich Risiken frühzeitig erkennen und absichern?
- Welche vertraglichen Regelungen sichern den KI-Einsatz ab?
- Wie greifen nationale, europäische und internationale Vorschriften ineinander?

Das Praxishandbuch 
ist das ideale Arbeitsmittel für alle, die KI rechtssicher einsetzen wollen - von der Planung bis zum laufenden Betrieb.

Expertenwissen garantiert
RA Dr. Philipp Mels, FAGewRS, ist ausgewiesener Experte für KI-Compliance, IT- und IP-Recht sowie erfahrener Prozessanwalt. Seine Kombination aus juristischer Präzision und praktischer Erfahrung macht das Werk zu einem unverzichtbaren Begleiter.

Vom Handbuch profitieren
Anwält:innen
Unternehmensjurist:innen
Anbieter:innen von KI-Systemen und deren Rechtsberater:innen
</li>

KI-Compliance im Unternehmen: Schlüssel zur Haftungsvermeidung und Wettbewerbsfaktor

Künstliche Intelligenz ist längst Teil unternehmerischer Praxis – und bringt komplexe rechtliche Herausforderungen mit sich. Welche Vorschriften gelten? Wo lauern Haftungs- und Reputationsrisiken? Wie lässt sich der KI-Einsatz rechtssicher gestalten? Gefragt ist Anwendungswissen – fundiert, praxisnah und mit Blick auf alle relevanten Rechtsgebiete.

Der neue Praxisleitfaden
erläutert die Anforderungen der KI-VO und weiterer zentraler Vorschriften
zeigt die rechtlichen Implikationen im Urheber-, Patent-, Marken-, Design-, Datenschutz-, Geschäftsgeheimnis- und Arbeitsrecht
behandelt aktuelle Themen wie Hochrisiko-KI-Systeme, verbotene Praktiken, Transparenzpflichten, KI-Bias, Profiling und KI-Werbung
liefert praxisorientierte Hilfsmittel: Checklisten, Schaubilder, Mustertexte und Organigramme.

Die klare Struktur folgt den drei Phasen des KI-Einsatzes: 
1. Erwerb und Entwicklung
2. Fütterung mit Daten
3. Nutzung und Output

So finden Nutzer:innen gezielt Antworten auf Fragen wie:
- Welche rechtlichen Vorgaben gelten in welcher Phase?
- Wie lassen sich Risiken frühzeitig erkennen und absichern?
- Welche vertraglichen Regelungen sichern den KI-Einsatz ab?
- Wie greifen nationale, europäische und internationale Vorschriften ineinander?

Das Praxishandbuch 
ist das ideale Arbeitsmittel für alle, die KI rechtssicher einsetzen wollen – von der Planung bis zum laufenden Betrieb.

Expertenwissen garantiert
RA Dr. Philipp Mels, FAGewRS, ist ausgewiesener Experte für KI-Compliance, IT- und IP-Recht sowie erfahrener Prozessanwalt. Seine Kombination aus juristischer Präzision und praktischer Erfahrung macht das Werk zu einem unverzichtbaren Begleiter.

Vom Handbuch profitieren
Anwält:innen
Unternehmensjurist:innen
Anbieter:innen von KI-Systemen und deren Rechtsberater:innen

KI-VO | Gewerblicher Rechtsschutz | Urheberrecht | Datenrecht | Haftung

KI-Compliance im Unternehmen

In a world where machines learn, evolve, and sometimes outthink us, Artificial Intelligence and Safety offers a rare, integrated lens into both the power and peril of intelligent systems. Drawing on the authors' unique blend of programming mastery and enterprise risk leadership, this guide is your compass in the age of intelligent machines.The book goes beyond traditional risk management frameworks by integrating the latest advancements in artificial intelligence and generative AI. Combining real-world case studies, Socratic questioning, and the wisdom of AI governance pioneers, it journeys through the evolution of AI, the rise of deep learning, and the practical implications of large language models (LLMs) and retrieval-augmented generation (RAG). The authors translate complex technical knowledge into actionable insights and teach how to use Python not just for prediction, but for protection-turning code into a risk management ally. Readers will understand how to embed ethics by design, assess emerging risks, and confidently apply AI governance frameworks.This guide demystifies AI for everyone-from software architects to policymakers and risk managers. Whether you're crafting LLMs or setting enterprise policy, this book empowers you to not only ask the right questions but build the right systems, because the future of AI isn't just about building intelligence, it's about building it responsibly.

A Practical Guide for Programmers and Decision Makers

Artificial Intelligence and Safety

Recursions

A Media Theory of Machine Learning

Errant Intelligence

Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time-fast, private, and reliable even when the network disappears.This book is your practical guide to building exactly those kinds of systems with the Raspberry&nbsp;Pi AI&nbsp;HAT+ and the Hailo-8L accelerator. You'll start with clear foundations: core&nbsp;AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge&nbsp;AI from cloud AI-plus an honest look at ethical considerations and future impacts.Then it's straight to hands-on physical computing. Step by step, you'll set up Raspberry&nbsp;Pi&nbsp;OS, power and cooling, and develop in Python using the Thonny&nbsp;IDE. You'll learn GPIO basics with lights and servos, mount the AI&nbsp;HAT+ hardware, install and verify the Hailo software stack, and connect the right camera-official modules or USB webcams, even multiple cameras.From your first pipeline to real projects, you'll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You'll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm.With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge&nbsp;AI from buzzword into buildable reality.

AI Projects for the Raspberry Pi with the AI HAT+

Edge AI Made Practical

This book provides a comprehensive overview of practical cutting and packing problems, presenting practical algorithms for solving these problems from the perspective of combinatorial optimization. It also discusses the geometric properties and tools for cutting and packing problems.&nbsp; Problems of cutting and packing objects have been extensively studied for many years because of the numerous real-world applications—for instance, in the clothing, logistics, manufacturing, and material industries. They can be classified in three ways according to their dimensions: The one-dimensional problem is the most basic category of problems including knapsack problems, bin packing problems, and cutting stock problems. The two-dimensional geometric problems include rectangle packing problems, circle packing problems, and polygon packing problems. The three-dimensional problem is the most difficult category and has applications in container loading, cargo and warehouse management and so forth. Most of these variants are NP-hard, since they contain as a special case the knapsack problem or the bin packing problem, which are already known to be NP-hard. Therefore, heuristics and metaheuristics are essential for designing practical algorithms for these problems. In addition to practical algorithms for solving a wide variety of cutting and packing problems, the book also considers another feature of cutting and packing problems: the need to develop powerful geometric tools to handle the wide variety and complexity of shapes that need to be packed.

This book provides a comprehensive overview of practical cutting and packing problems, presenting practical algorithms for solving these problems from the perspective of combinatorial optimization. It also discusses the geometric properties and tools for cutting and packing problems.&nbsp; Problems of cutting and packing objects have been extensively studied for many years because of the numerous real-world applications—for instance, in the clothing, logistics, manufacturing, and material industries. They can be classified in three ways according to their dimensions: The one-dimensional problem is the most basic category of problems including knapsack problems, bin packing problems, and cutting stock problems. The two-dimensional geometric problems include rectangle packing problems, circle packing problems, and polygon packing problems. The three-dimensional problem is the most difficult category and has applications in container loading, cargo and warehouse management and so forth. Most of these variants are NP-hard, since they contain as a special case the knapsack problem or the bin packing problem, which are already known to be NP-hard. Therefore, heuristics and metaheuristics are essential for designing practical algorithms for these problems. In addition to practical algorithms for solving a wide variety of cutting and packing problems, the book also considers another feature of cutting and packing problems: the need to develop powerful geometric tools to handle the wide variety and complexity of shapes that need to be packed.&nbsp;&nbsp;

From the Perspective of Combinatorial Optimization

Cutting and Packing Problems

A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.

The fundamentals are still here: You’ll learn how statistics and indexes impact performance, how to identify poorly performing queries, and how to discover effective solutions. But this new edition also includes advanced features unique to SQL Server 2025, such as AI integration for automatic tuning, insights on using extended events, automatic execution plan correction, and more. It’s a must-have resource designed to empower you to troubleshoot slow-performing queries and make them run faster than ever.

The book is a treasure trove of instruction, insight, and advice. As you dive in, you’ll encounter key fundamentals, from statistics and data distribution to cardinality and parameter sniffing, and learn to analyze and design your indexes and queries using best practices that prevent performance problems before they occur. You’ll also explore advanced features like Query Store for managing and controlling execution plans, automated performance tuning, and memory-optimized OLTP tables and procedures—and learn how SQL Server 2025 makes it all more powerful and automatable than ever.

What You Will Learn

Use Query Store to understand and easily change query performance

Recognize and eliminate bottlenecks leading to slow performance

Tune queries whether on-premises, in containers, or on cloud platform providers

Implement best practices in T-SQL to minimize performance risk

Design in the performance that you need through careful query and index design

Understand how built-in, automatic tuning can assist your performance enhancement efforts

Protect query performance during upgrades to the newer versions of SQL Server




Who This Book Is For

Developers and database administrators with responsibility for query performance in SQL Server environments, and anyone responsible for writing or creating T-SQL queries and in need of insight into bottlenecks—including how to identify them, understand them, and eliminate them

Troubleshoot and Optimize Query Performance

SQL Server 2025 Query Performance Tuning

A Practical Guide for Engineering Leaders

Generative AI in Software Development

Routledge Advances in Management and Business Studies

This book covers the relationship between artificial intelligence and sustainability goals, bringing together cutting-edge research and insights from business researchers and practitioners.Through real-world case studies from a variety of industries and regions around the world, the book examines how AI can optimise processes, reduce carbon footprints, and support climate action. It also delves into the ethical considerations of deploying AI in an environmentally conscious manner, ensuring that AI's benefits are realised without compromising the planet's well-being.A valuable resource for academics in the fields of AI, sustainability, and business practices. The book will also interest university administrators, industry professionals, and policymakers seeking to drive positive, sustainable change in their respective fields.

Strategies for Modern Businesses

AI-Powered Sustainability

How can retailers implement the right strategies to optimize customer journeys and adapt to rapid technological change?

The Future of Shopping is a practical guide for managers, brand leaders and retail professionals who want to develop strategies that combine digital innovation with core retail principles. While the fundamentals of why people buy remain constant, how retailers apply them has been transformed by data, AI and emerging platforms.

Written by retail technology expert Miya Knights, this book draws on real-world examples from Amazon, Tesco, Walmart and Temu to show how technology is reshaping the shopping experience. With detailed frameworks and actionable tools, it equips professionals to strengthen credibility, apply models with confidence and deliver measurable career and business impact.

You'll learn how to:
- Apply data-driven insights to anticipate customer needs before they arise
- Implement retail media networks to enhance reach and engagement
- Develop strategies that combine sustainability with digital transformation
- Optimize personalization by aligning generative AI with the human touch
- Build models that connect innovation to measurable business performance

Covering every stage of the customer journey, The Future of Shopping equips mid-career professionals to implement new technologies strategically, optimize performance and advance their influence in a competitive sector.

Themes include: retail strategy, customer journey optimization, digital innovation, retail media networks, sustainability in retail, AI personalization

Using Digital, Data and AI to Win with Customers

The Future of Shopping

An intimate portrait of the world's most brilliant tech visionary and his game-changing company DeepMind, from award-winning financial journalist and historian Sebastian Mallaby Even in a tech world crowded with visionary leaders, Demis Hassabis is recognized as a special case. Born to working class, immigrant parents in North London, a chess prodigy by five and wizard coder in his teens, he turned down a seven-figure job offer from a video-game studio to study science at Cambridge. Long before the current obsession with AI, he founded the path-breaking company DeepMind in order to pursue a single, audacious goal: the dream of artificial superintelligence, which would solve humanity's hardest problems, change life and work as we know it, and perhaps even unlock the deepest mysteries of the Universe. For his scientific achievements, he won a Nobel Prize in 2024, and his company, now Google DeepMind, is considered the tech giant's engine room. For the past three years, Sebastian Mallaby has had unprecedented access to Hassabis and DeepMind, conducting hundreds of hours of interviews with him and his inner circle as well as detractors and rivals at other companies. The result is a revelation-packed portrait of a singular mind and a historic reckoning with the AI revolution, a shift potentially more significant than any since the dawn of complex thought 70,000 years ago. As Mallaby chronicles, DeepMind is locked in an arms race with Silicon Valley competitors to build artificial general intelligence, and thereby become the keeper of humanity's future. Yet this is not a Silicon Valley story. Hassabis has remained in Britain, and unlike his rivals, his aims are not wealth and power but scientific enlightenment. Like them, however, he is haunted by the memory of Robert Oppenheimer, the creator of the atom bomb. He aims to control the technology, but the technology may ultimately control him - and humanity writ large.

Demis Hassabis, DeepMind and the Quest for Superintelligence

The Infinity Machine

Decision Support Systems for Industrial and Scientific Applications

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