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Gesamtkatalog

Catalogue complet

This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selecta

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Springer Nature Proceedings excluding Computer Science

Dieky Adzkiya

Kistosil Fahim

Applied and Computational Mathematics

ICoMPAC 2023, Sukolilo, Indonesia, September 30

&lt;p&gt;Part 1: Applied Mathematics (Control Systems, Mathematical Simulation, and Modeling).- H. Margaretha, N. Satyahadi and F. V. Ferdinand, Simulation of Investment Behaviors using Risk-Influenced Utility Models of Health and Wealth.- R. K. Dewi, I. Magdalena and I. Marcela, Wave Attenuation by a Combination of Mangroves and Reefball.- R. M. Valerio and I. Magdalena, Resonance Detection in a Semi-Closed Basin with Constant Height and Triangular Width.- R. Rahmawati, L. Harsyiah and Z. W. Baskara, Comparison of Ridge Regression and Principal Component Regression in Overcoming Multicolinierity of Factors Affecting Poverty in Indonesia.- Ahmadin, J. Naiborhu, Fatmawati and Windarto, Identification on Class Nonlinear Control System with Relative Degree Two.- A. F. Khariri, P. K. Intan, Moh. Hafiyusholeh, A. H. Asyhar and A. Fanani, Implementation of K-Means Particle Swarm Optimisation for Clustering Football Players in The Top Five European Football Leagues.- M. Widianto, C. Imron and B. Widodo, A short review of numerical modelling for photocatalytic degradation in dye systems.- S. Subchan, H. Purnawan, T. Asfihani and L. R. Amalia, Reference Tracking of Quadrotor using Modified Nonlinear Model Predictive Control based on Nonlinear Disturbance Observer.- D. Savitri, M. Jakfar and L. Putri, Numerical Simulation and Dynamics of Sedimentation Rate with Seagrass Growth Considering Dredging Factors.- H. Nuha, N. Siswanto and E. Widodo, A Mixed Integer Nonlinear Programming for Allocation Polyethylene Terephthalate (PET) Waste Management in Reverse Logistic Network.- A. Zaki Al Muntazhar, D. Ratna Sulistyaningrum and Subiono, Quantum K-Nearest Neighbors For Object Recognition.- T. Asfihani, F. N. Sihan Novita Lutfiani, A. Maulana Syafi'I, Subchan Subchan and A. Hasan, Adaptive Kalman Filter for Automated Actuator Fault Diagnosis in Unmanned Surface Vehicle.- E. R M Putri, A. Wahyu Widianto, A. Hakam, V. Ryan Tjahjono and H. Susanto, A moving average genetic algorithm (MA-GA)for estimating the COVID-19 dynamic based on a stochastic SIRD model.- A. Hakam, E. R M Putri and L. Mardiyanto, A general solution of Black-Scholes equations on some Rainbow options.- F. Ardhiansyah, R. W. Prastianto, M. Murdjito, K. Suastika and S. Nugroho, Dynamic Response of Floating Crane During Lifting Operation: A Parametric Study.- Part 2: Computational Mathematics (Formal Methods and Data Science): M. T. Ammar, M. Arzaki and G. S. Wulandari, Efficient SAT-Based Approach for Solving Juosan Puzzles.- J. E. Sakti, M. Arzaki and G. S. Wulandari, Modeling Path Puzzles as SAT Problems and How to Solve Them.- H. Tanabe and M. Kimura, A trustworthiness scoring model for reviews using a graph structure.- M. Iqbal, A. Afandy and N. Hidayat, Non-Linear Reward Deep Q Networks for Smooth Action in A Car Game.- Arthur de Clairval, L. A. Erwin Schuler, M. F. Rellier, M. Isa Irawan, I. Mukhlash and M. Iqbal, College Student Activity Recognition from Smartwatch Dataset.- A. Taryana, D. Adzkiya, M. Syifa'ul Mufid, I. Mukhlash and A. Abate, LTL Model Checking for Verification of Electronic Medical Record (EMR) Design.- G. I. Permata Sari, Hsing-Kuo Pao, R. C. Hario Pribadi and M. Iqbal, Multi-Feature Subgraph Fusion with Text Knowledge on Citation Link Prediction.- I Komang Pande Prajadhita Wibawa Putra, I. Irhamah, Nur Iriawan and K. Fithriasari, Predicting Poverty Percentage Based on Satellite Imagery and Point of Interest Using Support Vector Regression and Random Forest Regression (Case Study of Central Java Province).- M. Hutapea, G. Wulandari and M. Arzaki, Preliminary Analysis of Isabelle Proof Assistant in Graph Programming Verification with GP2.- Part 3: Pure Mathematics (Graph Theory and Analysis): T. Irvan Haryadi, R. Rinurwati, D. Winda Setyawati, S. Soleha, I. Herisman, K. Baihaqi and S. Sadjidon, Nonlocal Edge Metric Dimension on Corona Multiproduct Graphs.- N. Ain Supu, I. M. Alamsyah and E. Suwastika, The Vertex Degree of Relative g-noncommuting Graph of the Dihedral Groups.- S. Wibowo and C. R. Indrati, On Conformable Fractional Riesz Bounded p-Variation of Order- α.- H. K. Ningrum, E. Y. Asmarani, I Gede Adhitya Wisnu Wardhana, S. Salwa and Z. Y. Awanis, The Wiener Index, The Harmonic Index, and The Graph Representation of the Prime Ideal Graph for the Integers Modulo Rings with Prime Power Order.- R. Rinurwati, M. Chalid Fansury, A. Hevita G.K. Saefulloh and T. I. Haryadi, Multiplicative Sum Nano Zagreb Index of Various 2-Power Corona Graphs.&lt;br&gt;&lt;/p&gt;

Das Fachbuch befasst sich mit den aktuellen Herausforderungen und Trends im Supply Chain Management und insbesondere in der Supply-Chain-Planung. Es zeigt auf einfache Weise, worin diese Herausforderungen bestehen und wie Technologien wie Künstliche Intelligenz, Maschinelles Lernen und Data-Science-Lösungen für Themen wie Lieferengpässe, Risikomanagement, Personalmangel, Bestandsmanagement, Variantenvielfalt und hohe Variabilität bieten können. Es gibt einen Ausblick auf zukünftige Megatrends in der Supply Chain und beschreibt ausführlich, welche Rolle KI und Data Science dabei spielen werden.
Der Leser erhält einen anschaulichen und umfassenden Überblick über die aktuellen Herausforderungen, Trends und Entwicklungen im Supply Chain Management. Er erfährt, welche Lösungsansätze mittels KI, Machine Learning und Data Science für diese Herausforderungen bereits existieren und wo und wie KI in der Supply Chain eingesetzt werden kann, um die Effizienz zu steigern, Risiken zu erkennen und zu vermeiden, Kosten zu senken und die Flexibilität der Wertschöpfungskette zu erhöhen. Für jede Herausforderung zeigt das Buch anhand von Praxisbeispielen, wie Unternehmen von diesen Technologien profitieren und einen signifikanten Wettbewerbsvorteil erzielen können.

KI in der Supply Chain

Lecture Notes in Operations Research

This book constitutes the proceedings of the First Optimization and Wildfire Conference, held in Luso, Portugal, from October 1-4, 2024. The book features state-of-the-art research results in wildfire management and optimization, highlighting the latest advances in operational research and decision-making methods, and offers innovative solutions to wildfire-related decision problems. It focuses on the application of these methods, including optimization models and solution approaches, to address the complex challenges posed by wildfires. By bringing together cutting-edge research and practical solutions, this book serves as a vital resource for researchers, practitioners, and policymakers dedicated to improving wildfire management and decision-making processes.

Proceedings of the First Optimization and Wildfire Conference, October 1-4 2024, Luso, Portugal

Advances in Optimization and Wildfire

A Learning Perspective

Supply Chain Management

This textbook aims to introduce radiographers to the basic principles, ethics, governance and clinical applications of Artificial Intelligence (AI) across different medical imaging modalities including advantages, challenges and future work needed for AI implementation. It is an essential resource for all clinical practitioners, educators, academics, researchers and students, working in medical imaging and radiotherapy, providing a coherent, evidence-based, comprehensive guide to current and future practice. Understanding both technical and practical aspects of AI through case studies enables safe and effective patient care, state-of-the-art academic radiography education, enhanced interdisciplinary team communication and collaboration, and appreciation of the accountability involved when employing AI models.&nbsp; This textbook also offers insights into the impact on careers, future roles and staff and patient acceptability. It also stresses person-centredness as paramount for AI integration into clinical radiography in a chapter co-produced with patients. Furthermore, it offers the perspectives, supportive statements and AI resources of different national and international organisations, professional bodies and learned societies. Moreover, a chapter led by industry experts brings a unique view on requirements for AI innovation and commercialisation, aiming to inspire hopeful innovators and entrepreneurs. Finally, the textbook discusses the changing role, responsibilities and competencies of radiographers in a future with AI. It highlights the need to update academic curricula, research priorities and policy to reflect the change of clinical practice and prepare the workforce for a digital future. 
The editors would like to sincerely thank Dr Charlotte Beardmore, Professor Patrick Brennan, Edward Chan, Samar ElFarra, Dr Kori Stewart, all renowned world leaders in radiography research, education, policy and practice for their kind forewords. This work is written by the global radiography community as an offering for all radiographers.

Basic Principles, Clinical Applications and Implementation Considerations

Artificial Intelligence for Radiographers

An KI-Sprachmodellen wie ChatGPT, Gemini &amp; Co. führt heute kein Weg mehr vorbei. Dieser unverzichtbare Ratgeber liefert 77 alltagsnahe Fragen, geniale Prompts und sofort umsetzbare Bonus-Tipps und zeigt, wie sich das tägliche Leben zeitgemäß einfacher und produktiver gestalten lässt - ganz ohne Vorkenntnisse.Ob Reiseplanung, Lernen, kreative Ideenfindung oder schwierige Entscheidungen: Mit den richtigen Fragen, konkreten Praxisbeispielen, klaren Prompt-Anleitungen und den cleveren Bonus-Tipps lässt sich das Beste aus künstlicher Intelligenz herausholen. Ideal für alle, die praktische Unterstützung und frische Inspiration im Alltag ohne lange Theorie suchen.

Wie du mit KI die richtigen Antworten findest, die wirklich helfen

Clever gefragt, prompt gelöst – die 77 besten Fragen an ChatGPT & Co

Rapidly transform your analytics teams to deliver AI-driven insights.

The AI-driven Data Team by Nicholas Kelly is a proven-to-work playbook for data and analytics leaders who want to align analytics capabilities with the demands of an AI-powered business environment. Written for leaders accountable for data, analytics and business intelligence, this book provides tools for diagnosing capability gaps among data analytics teams, modernizing legacy stacks and delivering AI-driven insights to help organizations make better decisions. 

You'll learn how to:
- Diagnose skills gaps and map AI-augmented career paths
- Integrate modern AI tools with existing analytics stacks
- Launch six revenue-driving and cost-focused pilots in 90 days
- Embed ISO and NIST-aligned governance without slowing innovation
- Apply ROI calculators, governance checklists and sprint planners

Drawing on expert insights and real-world applications, this book helps you upskill your analysts, strengthen AI governance and provide AI-driven insights that drive real results.

Themes include: AI strategy, data governance, analytics leadership, ROI from AI, organizational transformation, executive decision-making

Improve Your Analytics with AI

The Ai-Driven Data Team

SpringerBriefs in Service Science

Towards Trustworthy and Reliable Services Systems with New AI

Scenarios Engineering for Services Science

This innovative textbook edited by international experts in technology law and policy provides a comprehensive and accessible guide into the fast-evolving landscape of technology law and policy in the UK and the EU. The recent wave of regulatory reforms adopted by UK and EU regulators increases the complexity of Internet law as it had developed in the past decades. Recognising the ever-growing importance of artificial intelligence in today's public discourse, the textbook extends beyond traditional legal sectoral frameworks, and explores the intersection of law, technology, and public policy to describe and critically reflect on current and emerging issues in the modern information society. This exploration follows thematic areas of interest, such as adtech, privacy by design, predictive policing, and social media, while also providing accessible historical overviews of how policy has developed in specific fields including platform liability, copyright, or data protection, and case studies on key topics. The companion website provides multimedia resources to delve deeper into specific topics; introductory materials for readers that are unfamiliar with the EU legal system; and teaching resources. Law, Policy, and the Internet is an essential resource for anyone seeking to navigate the complexities of internet regulation in an era of exponential technological change.

Law, Policy, and the Internet

Synthesis Lectures on Digital Circuits & Systems

This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino represented a new innovation in microcontroller hardware in 2005, the concept of open source hardware, making a broad range of computing accessible for all.

This book, "Arduino V: AI and Machine Learning," second edition, is an accessible primer on Artificial Intelligence and Machine Learning for those without a deep AI and ML background. The author concentrates on Artificial Intelligence (AI) and Machine Learning (ML) applications for microcontroller–based systems. The intent is to introduce the concepts and allow readers to practice on low cost, accessible Arduino hardware and software. Readers should find this book a starting point, an introduction, to this fascinating field. A number of references are provided for further exploration.

Arduino V: Machine Learning, 2ed

IPP Studies in the Frontiers of China’s Public Policy

Guangdong, located in South China, and its core area, the Pearl River Delta, have become the most vibrant hub of innovation in China. This book traces Guangdong's journey from its successful rise as the "world factory" at the end of the 20th century to its current status as China's center for innovative industries, revealing the internal mechanisms of the "black box" of how the Chinese economy gained the innovation advantage. The book summarizes Guangdong's development experience as a "bottom-up" innovation model, where in the stages of factor-driven, investment-driven, and innovation-driven development, companies’ strategies of technology and innovation strategies align with and mutually reinforce local governments’ industrial and development policies, collectively creating an upward-spreading innovation network and system that forms a unique regional economic growth engine. The book's discussion on technology learning strategies, absorptive capacity, dynamic capabilities, R&amp;D investment, innovation platforms, innovation ecosystems, and regional innovation policies holds valuable reference for government officials, corporate executives, business scholars, economists, and journalists.

Bottom Up Innovation in Guangdong

Remade in South China

WINNER OF THE FT SCHRODERS BUSINESS BOOK OF THE YEAR 2025 A SUNDAY TIMES, ECONOMIST AND FINANCIAL TIMES BOOK OF THE YEAR 'Gripping and brilliantly told' MUSTAFA SULEYMAN 'Highly entertaining' GUARDIAN 'Excellent' ECONOMIST 'Riveting ... exceptional' RAY KURZWEIL 'Page-turning' DAVID EPSTEIN This is the story of the company that is inventing the future. Nvidia is the world's first $5-trillion company and the most important corporation on Earth. Led by its charismatic CEO, Jensen Huang, it has gone from video game equipment manufacturer to conquering the global market for AI hardware, reinventing the computer and shaping life as we know it. With unprecedented access to Huang, award-winning investigative journalist Stephen Witt takes us inside Nvidia to tell the definitive story of the greatest technology company of our times. It is the astonishing story of renegade engineers and Silicon Valley disrupters, of fearless entrepreneurs and one revolutionary leader with an extraordinarily singular vision. 'The rarest of books on tech - one that may just leave you feeling good about an entrepreneur founder and optimistic about the future' SUNDAY TIMES

Jensen Huang, Nvidia, and the World’s Most Coveted Microchip

The Thinking Machine

THE AGI CHRONICLES is not a futurist manifesto, an academic chin-stroker, a corporate biography, or a self-help manual. It's the inside story of the birth of AGI, as told by the people who are bringing it into existence, or trying to stop it from coming into existence, and who are grappling with the consequences before anyone else.Building Artificial General Intelligence - a machine that is as smart or smarter than humans, at everything our brains can do - has been the goal for the world's biggest technology companies for about the last decade, and it is probably the most consequential technological project in history.&nbsp;Only a few hundred people are fully awake to what's actually happening on the AI frontier, or how short the timelines are. Powerful AI will reshape society -&nbsp;and most governments and big corporations already view this conclusion as obvious, as evidenced by the trillions of dollars they're spending to get there first.&nbsp;New York Times&nbsp;journalist Kevin Roose may be the only person who can tell this story. He has put his life on hold, gone to the heart of the action, interviewed those who have been involved in building this technology, digging up secrets and putting together the first major behind-the-scenes account of this race.And the people building powerful AI are much, much weirder than you'd think. If you dig beneath the corporate veneers, the AI scene here is full of messianic claims, cult-like dynamics, and a degree of belief in the inevitability and imminence of powerful AI that can strike the uninitiated as genuinely insane.This is gripping, characterful, first draft of history that reads like a non-fiction thriller, for readers of THE BIG SHORT, CARELESS PEOPLE and AMERICAN PROMETHEUS. It's the book that people will turn to one hundred years from now as a defining account of the moment our species was changed for ever.

The AGI Chronicles

Applied and Computational Mathematics

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