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Gesamtkatalog

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This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation

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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;


Routledge Studies in Innovation, Organizations and Technology

Psychological and Social Implications

Artificial Intelligence in Creative Industries

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

Contributions to Management Science

Renewed Theoretical Bases and New Paradigms

Artificial Intelligence Transforming Marketing

A Commentary

The EU Artificial Intelligence Act

A sharp history of journalism's digital unraveling in the age of algorithms. In the past three decades, the battle between big tech and big journalism has reshaped how we consume the news. Jason Whittaker delves into how tech giants outmaneuvered traditional media companies, siphoning off advertising revenue and audience attention. As journalism struggled to adapt, social media platforms evolved from utopian public spaces into breeding grounds for misinformation and fake news, eroding public trust. The influence of billionaires further complicated the digital ecosystem, swaying public opinion and exercising direct political power, of which previous media moguls could only dream. More recently, AI has begun to revolutionize content creation, distribution, and consumption. Overall, this thirty-year period has witnessed a tangled mix of progress, contention, and disinformation. Incorporating stories about The Washington Post, The New York Times, The Atlantic, The Los Angeles Times, Bloomberg, and many other media outlets from around the world, and discussing key figures and companies in big tech and AI like Facebook/Meta, Cambridge Analytica, Google, Microsoft, Twitter/X and Elon Musk, Edward Snowden, Jakob Uszkoreit, OpenAI, ChatGPT, DeepSeek, and more, Whittaker provides an incisive examination of the frequently combative relations of these two industries and the uncertain future of the news in the digital age.

Big Tech v. Big Journalism

You Want What We've Got

B2B marketers face unique challenges, including non-linear buyer journeys, multiple decision-makers, and long sales cycles, alongside the (mis)perception of their work being boring and lacking in creativity. Written by a seasoned industry practitioner, The Future of B2B Marketing: Harnessing AI to Unlock Smarter Decisions offers original insights and guidance into the evolving B2B landscape, showing how artificial intelligence can be applied at every stage of the buying journey - from capturing awareness from the right audience and generating quality engagement through to optimizing measurement and performance. It serves to both guide experienced professionals while also supporting those new to the industry, offering reminders, confidence-building, and practical approaches for navigating the everyday complexities of B2B marketing. Combining research, frameworks, case studies, and career-focused advice, this book helps marketers embrace new technologies and learn how to put AI into practice, using their own judgement and expertise to act effectively - and ultimately make smarter decisions.

Harnessing AI to unlock smarter decisions

The Future of B2B Marketing

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

Springer Proceedings in Business and Economics

Proceedings from the 3rd DTS International Conference, Paris, France, May 22-23, 2025

Human-Machine Synergy and the Digital Future - Exploring Collaboration and Competition, Vol 2

Developments in Applied Microbiology and Biotechnology

Revolutionizing Microbial Technology: Unlocking the Potential of Artificial Intelligence explores the potential integration of artificial intelligence (AI) and machine learning in the fields of microbiology and biotechnology. The book delves into various applications of AI in microbiology across different sectors. This includes coverage of basic microbiology, identification and characterization of microbes, how AI can be implemented in microbiology laboratory practices, and how bioinformatics can help analyze microbial data and help understand complex biological systems. It discusses implementation of AI in healthcare for the diagnosis of microbial diseases and AI-driven microbial therapies and examines potential AI solutions for the acceleration, cost-effectiveness, and efficiency of the drug discovery and drug development process. Additional coverage includes the AI integration in the food and agricultural industries. Revolutionizing Microbial Technology provides a comprehensive understanding to researchers, academics, industry professionals and students of the potential of AI as an advance tool for microbial research and application.

Unlocking the Potential of Artificial Intelligence

Revolutionizing Microbial Technology

Lineare gemischt-ganzzahlige Modellierung ist in Kombination mit dem Branch-and-Bound Verfahren ein sehr mächtiges Werkzeug der exakten Optimierung. Das vorliegende Lehrbuch bietet im ersten Teil einen niederschwelligen Einstieg in die gemischt-ganzzahlige Modellierung. Dieser Teil adressiert Bachelor- und Masterstudierende der Betriebswirtschaftslehre, Wirtschaftsmathematik, Wirtschaftsinformatik und des Wirtschaftsingenieurwesens sowie verwandter Fächer und bietet ihnen ein detailliertes Vorgehen zur Entwicklung eigener gemischt-ganzzahliger Optimierungsmodelle in Form eines sich stückweise entwickelnden Kochrezeptes.
Der zweite Teil des Buches richtet sich an fortgeschrittene Studierende mit einer Spezialisierung im Bereich Operations Research sowie Promotionsstudierende und Wissenschaftler aus dem Operations Research. Der Fokus dieses Teils liegt auf der möglichst effizienten Formulierung linearer gemischt-ganzzahliger Modelle. Dazu werden verschiedene Techniken der effizienten Modellierung in jeweils eigenen Kapiteln ausführlich erläutert. Auch in diesem Teil enden die Kapitel mit einer in Form einer Ergänzung des Kochrezeptes formulierten Zusammenfassung.

Wie man ein gemischt-ganzzahliges lineares Optimierungsmodell entwickelt

Lineare Modellierung

Recursions

A Media Theory of Machine Learning

Errant Intelligence

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

Decision Support Systems for Industrial and Scientific Applications

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