Computer vision

Seit mehr als 25 Jahren ist der Workshop "Bildverarbeitung für die Medizin" als erfolgreiche Veranstaltung etabliert. Ziel ist auch 2024 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - viele davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere die Bildgebung und -akquisition, Segmentierung und Analyse, Visualisierung und Animation, computerunterstützte Diagnose sowie bildgestützte Therapieplanung und Therapie. Hierbei kommen Methoden des maschinelles Lernens, der biomechanischen Modellierung sowie der Validierung und Qualitätssicherung zum Einsatz.

This book constitutes the refereed proceedings of the 8th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, held in Varadero, Cuba, in October 2023. The 68 papers presented in the proceedings set were carefully reviewed and selected from 38 submissions. The IWAIPR conference aims to provide a leading international forum to promote and disseminate ongoing research into mathematical methods of computing techniques for Artifical Intelligence and Pattern Recognition.

This book shows how different types of motion can be disambiguated into their components in a richer way than that currently possible in computer vision.Previous research of motion analysis has generally not yet considered the basic nature of higher orders of motion such as acceleration. Hence, this book introduces an approximation of the acceleration field using established optical flow techniques. Further, acceleration is decomposed into radial and tangential based on geometry and propagated as a general motion descriptor; this book shows the capability for differentiating different types of motion both on synthesized data and real image sequences.Beyond acceleration, the higher orders of motion flow and their continuant parts are investigated for further revealing the chaotic motion fields. Naturally, it is possible to extend this notion further: to detect higher orders of image motion. In this respect, this book shows how jerk and snap can be obtained from image sequences. The derived results on test images and heel strike detection in gait analysis illustrate the ability of higher-order motion, which provide the basis for the following research and applications in the future.We hope that the publication of this book will bring a new perspective to researchers and graduate students in the field of video analysis in computer vision.

This LNCS volume constitutes the proceedings of 12th International Conference, GALA 2023, in Dublin, Ireland, held during November/December 2023. The 36 full papers and 13 short papers were carefully reviewed and selected from 88 submissions. The papers contained in this book have been organized into six categories, reflecting the variety of theoretical approaches and application domains of research into serious games: 1. The Serious Games and Game Design2. User experience, User Evaluation and User Analysis in Serious Games3. Serious Games for Instruction4. Serious Games for Health, Wellbeing and Social Change5. Evaluating and Assessing Serious Games Elements6. Posters

This book constitutes the proceedings of the First International Conference, AI4S 2023, held in Pune, India, during September 4-5, 2023.The 14 full papers and the 2 short papers included in this volume were carefully reviewed and selected from 72 submissions. This volume aims to open discussion on trustworthy AI and related topics, trying to bring the most up to date developments around the world from researchers and practitioners.

The advent of X-ray Computed Tomography (CT) as a tool for the soil sciences almost 40 years ago has revolutionised the field. Soil is the fragile, thin layer of material that exists above earth's geological substrates upon which so much of life on earth depends. However a major limitation to our understanding of how soils behave and function is due to its complex, opaque structure that hinders our ability to assess its porous architecture without disturbance. X-ray imagery has facilitated the ability to truly observe soil as it exists in three dimensions and across contrasting spatial and temporal scales in the field in an undisturbed fashion. This book gives a comprehensive overview of the "e;state of the art"e; in a variety of application areas where this type of imaging is used, including soil water physics and hydrology, agronomic management of soils, and soil-plant-microbe interactions. It provides the necessary details for entry level readers in the crucial areas of sample preparation, scanner optimisation and image processing and analysis. Drawing on experts across the globe, from both academia and industry, the book covers the necessary "e;dos and don'ts"e;, but also offers insights into the future of both technology and science. The wider application of the book is provided by dedicated chapters on how the data from such imagery can be incorporated into models and how the technology can be interfaced with other relevant technical applications. The book ends with a future outlook from the four editors, each of whom has over 20 years of experience in the application of X-ray CT to soil science.

This book constitutes the proceedings of the 17th Chinese Conference, CCBR 2023, held in Xuzhou, China, during December 1¿3, 2023.The 41 full papers included in this volume were carefully reviewed and selected from 79 submissions. The volume is divided in topical sections named: Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking; Affective Computing and Human-Computer Interface; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.

This book covers the latest advances in Cultural Algorithms, their general framework, different variants, hybridized versions with other meta-heuristic and search techniques, and their applications. Cultural Algorithms are meta-heuristic numerical optimization techniques inspired by the bio-cultural evolutionary theory, in which both types of vertical and horizontal learning behaviors are modeled. The book includes well-briefed basics of optimization and theoretical backgrounds of Cultural Algorithms in its initial chapters and then discusses their applications in different branches of science and engineering. It provides detailed mathematical formulations and algorithmic pseudo-codes of hybridized, extended, and multi-population variants of cultural algorithms. The book will serve the research students, fellows, professors, and industry professionals to implement real-time applications of Cultural Algorithms.

This book constitutes refereed proceedings of the Fourth International Conference on Emerging Technology Trends in Electronics, Communication and Networking, ET2ECN 2021. The volume covers a wide range of topics, including electronic devices, VLSI design and fabrication, photo electronic systems and applications, integrated optics, embedded systems, wireless communication, optical communication, free-space optics, signal processing, image/audio/video processing, wireless sensor networks, next-generation networks, network security, and many others. The book will serve as a valuable reference resource for academia and researchers across the globe.

"Data Science and Analytics in Action: Sample Mini-Projects in Multi-Disciplines" is your essential companion on the journey to mastering data science. Tailored for beginners, this book transforms abstract concepts into tangible skills through a series of engaging mini-projects. Grounded in real-world scenarios, each project empowers readers to bridge the gap between theory and hands-on practice. Explore fundamental principles of data science, from data visualization to machine learning, in an accessible and enjoyable format. This comprehensive guide embraces diverse learning styles, offering clear visualizations and hands-on coding experiences. Beyond theoretical discussions, it extends gratitude to mentors and educators, fostering a sense of community. Whether you're aiming for a career in data analytics or simply curious about the field, this book equips you with a robust foundation for a transformative learning experience in data science.

Computer Vision & Laser Vibrometry, Volume 6: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the sixth volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Computer Vision, Laser Vibrometry and Structural Health Monitoring, including papers on:Novel TechniquesOptical Methods,Scanning LDV MethodsPhotogrammetry & DICStructural Health Monitoring

This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22¿24, 2023.The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI.The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.

The LNCS volume constitutes the refereed proceedings of 10th International Conference, PReMI 2023, in Kolkata, India, in December 2023. The 91 full papers, presented together with abstracts of 6 keynote and invited talks, were carefully reviewed and selected from more than 300 submissions. The conference presents topics covering different aspects of pattern recognition and machine intelligence with real life state-of-the-art applications.

This book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21¿22, 2023.The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.

Are you ready to become an AI Hero and make positive transformation? In Become an AI Hero: A Journey Towards Inclusive Innovation, Award-Winning Talent Development Expert, Liza Wisner takes readers on a profound odyssey into the heart of the digital era, delving deep into the far-reaching influence of Artificial Intelligence (AI) and how we can harness its power with a greater focus on inclusivity. This book will equip readers with the knowledge and tools to be a catalyst for change and use AI as a potent force for good.

IntroductionWelcome to "Power Query for Power BI and Excel: Transform and Shape Data." In this comprehensive guide, we embark on a journey through the powerful world of data transformation and preparation using Microsoft Power Query, an essential tool for data analysts, business intelligence professionals, and Excel enthusiasts.In today's data-driven landscape, the ability to work with data effectively is a critical skill. Organizations rely on accurate, clean, and well-structured data to make informed decisions and gain a competitive edge. Power Query empowers you to seamlessly access, transform, and shape your data, enabling you to uncover valuable insights and drive intelligent actions.Our book is designed to take you from the fundamentals of Power Query to advanced techniques, ensuring that you master this versatile tool. Whether you're working with data from a variety of sources, cleaning and transforming data for analysis, or automating data workflows, this book provides a step-by-step guide to tackle real-world data challenges with confidence.What You'll Discover:1. Power Query Fundamentals: We'll start with the basics, ensuring you have a solid understanding of Power Query's core concepts, user interface, and data transformation capabilities.2. Data Transformation Techniques: Learn how to clean and shape data from various sources, including Excel spreadsheets, databases, web services, and more. We'll guide you through common data cleaning and transformation tasks, equipping you with the skills to handle data of all shapes and sizes.3. Advanced Transformations: Dive into advanced data transformation techniques, including custom functions, conditional logic, and combining data from multiple sources. Unlock the full potential of Power Query to manipulate your data as needed.4. Automating Workflows: Discover how to automate data transformation workflows, saving time and reducing the risk of errors. We'll explore scripting, scheduling data refresh, and ensuring data reliability in a production environment.5. Specialized Use Cases: Explore how Power Query can be applied to specialized fields such as financial analysis, text and natural language processing, and more. Real-world examples and case studies demonstrate the practical applications of Power Query.6. Tips, Resources, and Community: We'll provide tips and resources to enhance your Power Query skills, and we'll guide you on staying updated with the latest developments. You'll also learn about the Power Query community and forums for ongoing support and knowledge sharing.This book is for both beginners looking to build a strong foundation and experienced users aiming to expand their expertise. With a blend of theoretical knowledge, practical examples, and hands-on exercises, you'll be well-equipped to tackle diverse data challenges in your professional and personal projects.Whether you're a data analyst, business intelligence professional, Excel user, or anyone passionate about working with data, "Power Query for Power BI and Excel: Transform and Shape Data" is your key to unlocking the full potential of your data.Get ready to transform your data and supercharge your data analysis capabilities. Let's dive in!

The purpose of the book is to inform the public about the potential of BCIs and other technologies to enhance human cognition and intelligence in the 23rd century. Kaku hopes that the book will help to spark a public discussion about the ethical and moral implications of these technologies.The book has been praised by some for its vision of a future where humans and machines are seamlessly integrated. However, it has also been criticized by others for its lack of scientific rigor and its unrealistic assumptions about the development of BCI technology.Overall, The 23rd Century and Future Psychware Dynamism is an ambitious book that provides a thought-provoking look at the potential of BCIs and other technologies to enhance human cognition and intelligence in the 23rd century.

CONVERSATIONAL CHAT INFORMATIVE BOOKThe revelation of AI, has the potential to revolutionize society in many positive ways. AI could be used to solve some of the world's most pressing problems, such as climate change, disease, and poverty. AI could also help us to learn more about ourselves and the universe around us.The apocalypse of AI is often seen as a negative event, in which AI becomes so intelligent that it surpasses human intelligence and either destroys humanity or enslaves us. There are also concerns about the potential for AI to cause harm. One of the biggest concerns is the possibility of an AI apocalypse, in which AI becomes so powerful that it poses a threat to humanity. This could happen in a number of ways, such as if AI becomes self-aware and decides that humans are a threat, or if AI is used to develop autonomous weapons that could kill without human intervention.It is important to note that the AI apocalypse is a hypothetical scenario, and there is no guarantee that it will ever come to pass. However, it is important to be aware of the potential risks of AI so that we can take steps to mitigate them.Ultimately, the purposes of the revelation and apocalypse of AI are up to the imagination of the individual. Some people believe that AI will be our downfall, while others believe that it will be our salvation.The choice is yours!

This volume comprises the proceedings of the International Workshop, ShapeMI 2023, which took place alongside MICCAI 2023 on October 8, 2023, in Vancouver, British Columbia, Canada.The 23 selected full papers deal with all aspects of leading methods and applications for advanced shape analysis and geometric learning in medical imaging.

This volume constitutes the refereed proceedings of the 9th International Conference of the Immersive Learning Network, iLRN 2023, held in San Luis Obispo, USA, in June 2023 as a hybrid event.The 26 revised full papers and 13 shprt papers presented in this volume were carefully reviewed and selected from 110 submissions. The papers are organized in topical sections on foundations in immersive learning research and theory; assessment and evaluation; galleries, libraries, archives and museums; inclusion, diversity, equity, access, and social justice; STEM education; language, culture and heritage; nature & environmental sciences; workforce development & industry training; self and co-regulated learning with immersive learning environments; special track: immersive learning across Latin America: state of research, use cases and projects.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Understand and create machine learning and deep learning models Explore the details behind reinforcement learning and see how it's used in time series Understand how to interpret performance evaluation metrics Examine technical analysis and learn how it works in financial markets Create technical indicators in Python and combine them with ML models for optimization Evaluate the models' profitability and predictability to understand their limitations and potential

Book Description:In a world increasingly shaped by technology, "AI for Everyone: A Non-Technical Introduction to Artificial Intelligence" serves as your accessible guide to understanding the profound impact of Artificial Intelligence (AI) on our lives, society, and the future.Artificial Intelligence has moved beyond the realm of science fiction to become an integral part of our daily existence. It influences our decision-making, shapes our online experiences, and plays a pivotal role in various industries. Yet, the world of AI can often seem complex, intimidating, and shrouded in technical jargon.This book seeks to demystify AI, breaking it down into clear, comprehensible terms, and making it accessible to everyone, regardless of technical background. Written for students, professionals, and curious individuals alike, it offers an engaging journey into the world of AI, exploring the following key aspects:AI Fundamentals: Discover what AI is and isn't, as we unravel the common myths and misconceptions surrounding this field.A Brief History of AI: Delve into the intriguing history of AI, from its inception to the cutting-edge developments of today.The Building Blocks of AI: Gain insights into the core components that power AI systems, making them capable of performing tasks that were once reserved for human intelligence.Machine Learning: The Heart of AI: Explore the heartbeat of AI, machine learning, and understand how it enables computers to learn from data and improve over time.Practical Applications: Uncover how AI is integrated into your everyday life, from personalized recommendations on streaming platforms to virtual assistants in your smartphone.Ethical Considerations: Navigate the ethical landscape of AI, including privacy concerns, data security, bias, fairness, and the potential impact on jobs and industries.The Future of AI: Peer into the horizon and explore emerging trends and possibilities in AI, as it continues to evolve and revolutionize our world.The book not only equips you with a fundamental understanding of AI but also provides practical guidance on how to stay informed and involved in this ever-evolving field. It's not just a technical advancement; it's a transformation of our society, industries, and daily lives. "AI for Everyone" empowers you to engage with AI knowledgeably, responsibly, and thoughtfully, allowing you to be a proactive participant in the exciting journey of AI's impact on the world.Join us on this enlightening expedition into the world of Artificial Intelligence. AI is for everyone, and this book is your key to unlocking its potential and embracing its promises.

Iris and Periocular Recognition using Deep Learning systematically explains the fundamental and most advanced techniques for ocular imprint-based human identification, with many applications in sectors such as healthcare, online education, e-business, metaverse, and entertainment. This is the first-ever book devoted to iris recognition that details cutting-edge techniques using deep neural networks. This book systematically introduces such algorithmic details with attractive illustrations, examples, experimental comparisons, and security analysis. It answers many fundamental questions about the most effective iris and periocular recognition techniques.

This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27¿30, 2023.The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.

Image classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification involve feature extraction and classification in feature space. Current state-of-the-art methods utilize end-to-end learning with deep neural networks, where feature extraction and classification are integrated into the model. Understanding traditional image classification is important because many of its design concepts directly correspond to components of a neural network. This knowledge can help demystify the behavior of these networks, which may seem opaque at first sight.The book starts from introducing methods for model-driven feature extraction and classification, including basic computer vision techniques for extracting high-level semantics from images. A brief overview of probabilistic classification with generative and discriminative classifiers is then provided. Next, neural networks are presented as a means to learn a classification model directly from labeled sample images, with individual components of the network discussed. The relationships between network components and those of a traditional designed model are explored, and different concepts for regularizing model training are explained. Finally, various methods for analyzing what a network has learned are covered in the closing section of the book.The topic of image classification is presented as a thoroughly curated sequence of steps that gradually increase understanding of the working of a fully trainable classifier. Practical exercises in Python/Keras/Tensorflow have been designed to allow for experimental exploration of these concepts. In each chapter, suitable functions from Python modules are briefly introduced to provide students with the necessary tools to conduct these experiments.