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Lecture Notes in Computer Science

Medical Optical Imaging and Virtual
Microscopy Image Analysis

Medical Optical Imaging and Virtual Microscopy Image Analysis

Second International Workshop, MOVI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

Medical Optical Imaging and Virtual Microscopy Image Analysis: A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN.- From Feature Maps to Few-Shot Cell Segmentation.- Deep Learning for Classifying Anti-Shigella Opsono-phagocytosis-promoting Monoclonal Antibodies.- Multi-target Stain Normalization for Histology Slides.- Intensity Inhomogeneity Correction for Large Panoramic Electron Microscopy Images.- Fully Automated CTC Detection, Segmentation and Classification for Multi-Channel IF Imaging.- Lymphoid Infiltration Assessment of the Tumor Margins in H&amp;E Slides.- TRP-Net: Transformer with RMM and PPM for High-efficiency Circulating Abnormal Cells Detection in Multichannel Fluorescence Imaging.- Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals.- Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution.- CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data.- Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging.- MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network.- Structured Model Pruning for Efficient Inference in Computational Pathology.- Histopathology Image Embedding based on Foundation Models Features Aggregation for DLBCL Patient Treatment Response Prediction.- EM-Compressor: Electron Microscopy Image Compression in Connectomics with Variational Autoencoders. Kidney Pathology Image segmentation (KPIs) Challenge: AC-UNet: A Self-Adaptive Cropping Approach for Kidney Pathology Image Segmentation.- SAM-Glomeruli: Enhanced Segment Anything Model for Precise Glomeruli Segmentation.- A Robust Deep Learning Method for WSI-level Diseased Glomeruli Segmentation.- Ensembled SegNeXt Based Glomeruli Segmentation.- Glomeruli Segmentation in Whole-Slide Images: Is Better Local Performance Always Better.

International Standard ISO/IEC 8652:2023 (E)

Ada 2022 Reference Manual. Volume 1 - Core Language

Ada 2022 Reference Manual. Volume 2 - Standard Libraries and Interfacing

Ada 2022 Reference Manual. Volume 3 - Specialized Needs Annexes, Summaries, and Indexes

This textbook is intended for an undergraduate course on the fundamentals of parallel computing or as background and reference for graduate courses on high-performance computing, shared-memory multiprocessor programming, or parallel algorithms.The author introduces theoretical concepts and tools for expressing, analyzing, and assessing parallel algorithms, and covers in detail the two most widely used concrete frameworks OpenMP and MPI, plus the threading interface pthreads for writing parallel programs for either shared or distributed memory parallel computers with an emphasis on general concepts and principles. Code examples are given in a C-like style, and the extensive exercises can be used for self-study and as inspiration for small implementation projects in OpenMP and MPI.The book is appropriate for undergraduate and graduate students, and for professionals engaged in all aspects of parallel computing.

Lectures on Parallel Computing

MICCAI Challenge, FLARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation

23rd International Conference, ACNS 2025, Munich, Germany, June 23–26, 2025, Proceedings, Part I

Applied Cryptography and Network Security

Lecture Notes in Artificial Intelligence

23rd International Conference, AIME 2025, Pavia, Italy, June 23–26, 2025, Proceedings, Part I

Artificial Intelligence in Medicine

23rd International Conference, ACNS 2025, Munich, Germany, June 23–26, 2025, Proceedings, Part II

23rd International Conference, ACNS 2025, Munich, Germany, June 23–26, 2025, Proceedings, Part III

23rd International Conference, AIME 2025, Pavia, Italy, June 23–26, 2025, Proceedings, Part II

22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10–13, 2025, Proceedings, Part II

Integration of Constraint Programming, Artificial Intelligence, and Operations Research

22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10–13, 2025, Proceedings, Part I

Medical Robots and Devices: New Developments and Advances

Medical Imaging Application in Health Assessment and Disease Management is an all-encompassing book that explores the transformative power of medical imaging in various fields of medicine. It showcases the latest advancements and applications of medical imaging modalities, ranging from neurology and oncology to audiology and osteoporosis. The book highlights the role of medical imaging in understanding and treating neurological conditions, assessing bone health, unraveling hearing disorders, and diagnosing and treating oncological conditions. It also delves into the potential of artificial intelligence and machine learning in improving cancer diagnosis and treatment. The book explores the use of medical imaging in observing mental health conditions such as autism spectrum disorder and stress-related behavioral changes. This comprehensive resource is essential for researchers and professional engineers in the fields of medical image computing/processing, computer science, artificial intelligence, radiology, neuroscience, and biomedical research.

Medical Imaging Application in Health Assessment and Disease Management

Encyclopedia of Optimization

New Directions in Contemporary Art

The field of AI Art is a hotbed for strange, uneasy partnerships between big tech, big art and critical culture. Not since Walter Benjamin's Age of Mechanical Reproduction has there been a similar challenge to humanist art criticism. This book examines how a contemporary critic should best engage with, contextualise and effectively critique machine-learning-based art. In considering this question, Nora Khan looks at the rush of institutions to place AI Art within an art-historical lineage while they simultaneously accept significant funding from technology companies. She discusses the scale and speed at which technological production, machine learning, and AI have abraded the individual's capacity for critical evaluation, moving us to consider what a shared, collective criticism of AI might sound like.

AI Art, Machine Learning and the Stakes for Art Criticism

Depending on who you ask, artificial intelligence is our salvation or our doom; an overhyped, bigoted artist or the ticket to immortality and utopian abundance; just another tech fad or the last invention we need ever make. The AI discourse is confusing, messy, and frustrating. But the technology — and our response to it — will shape the future, whether or not we’re part of the conversation.
Obsolete is&nbsp;for those who are interested in learning more about AI, but unsure of where to start and who to believe. They may feel intimidated by the technical jargon, put off by dry and abstract prose, or skeptical of the loudest voices on the issue (like Elon Musk and Sam Altman). Obsolete will introduce readers to the basics of AI, the idea that it could lead to human extinction, the roiling three-sided debate surrounding extinction fears, and the people and companies trying to build artificial general intelligence (AGI) — that which can outwit humans across the board. The book will grapple with the core arguments animating the AI debates, which are, by turns, uncritically parroted and unduly dismissed. It will also cut through industry hype while seriously entertaining the implications of AGI.
The risk that AGI could result in our extinction is being recognized by a significant and growing number of leading AI researchers, industrialists, and policymakers, along with the wider public. Existential risk from AI has been explored in other books, but Obsolete will be the first to center its analysis on how both capitalist and great power competition make AI more dangerous.
Obsolete will also tackle questions like: Can machines actually outsmart humanity? If so, when could that happen? If AGI is possible, is it inevitable? Why are people trying to build a technology they claim could end the world? Is the idea of AI-driven extinction the product of a big tech conspiracy aiming to hype the technology and control its regulation? Why has the left mostly ignored or dismissed existential risk from AI? Why do some powerful techies welcome human extinction? How could AI enable stable authoritarian regimes? How could killer robots reshape war and the balance of power? What do China and the US want from AI? And why has it become the front line of their brewing Cold War? And finally: What can and should the left do about it?

Power, Profit, And The Race For Machine Superintelligence

Obsolete

Sustainable Computing and Optimization

Trends and Future Challenges

Managing Sustainable Operations of Logistics and Supply Chain Management

Technology-Assisted Physical Gait Rehabilitation: How Robotics, Data Science, and Neuroscience are Changing Modern Physical Therapy delves into the integration of advanced computational modeling, robotic systems, data analytics, and neuroscientific principles to revolutionize physical gait therapy. This book addresses rehabilitation techniques for conditions like stroke, traumatic brain injury, and incomplete spinal cord injury, showcasing a multidisciplinary approach that brings together expertise from various domains. This comprehensive volume gathers insights from leading experts in robotics, human biomechanics, physical therapy, neuroscience, engineering, and medicine. It discusses current advancements and future directions in technology-assisted gait therapy, emphasizing the synergy of interdisciplinary collaboration to achieve breakthroughs in rehabilitation techniques. The book also highlights ongoing work and the potential developments necessary to foster significant progress in this field.

How Robotics, Data Science, and Neuroscience are Changing Modern Physical Therapy

Technology-Assisted Physical Gait Rehabilitation

What is Art in the age of inequality, climate change and AI? From leading design group, Metahaven.

Cognitive Futures

The Hard Question of Art

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

Leveraging AI, Data and Analytics in Travel

Technology-Led Tourism

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming

Using SAS Enterprise Miner

Data Science and Machine Learning for Non-Programmers

Das Buch führt anschaulich und verständlich in das Gebiet der intelligenten Verfahren ein. In geschlossenen Darstellungen zeigt es zuerst die theoretischen Grundlagen und anschließend praktische Beispiele, wobei bei den Beispielen auch fehlerhafte Ansätze gezeigt werden.Ausgehend von linearen Systemen und ihren Einschränkungen werden nichtlineare Systeme sowie grundlegende Lernverfahren eingeführt. Darauf aufbauend werden intelligente Verfahren, z.B. der lernfähige, nichtlineare Beobachter, entwickelt sowie die Identifikation von nichtlinearen Systemen und deren Optimierung behandelt. &nbsp;Anschließend werden Regelungsverfahren von nichtlinearen Systemen vorgestellt, wobei die modellbasierte adaptive Regelung sowie die Regelung von unbekannten Systemen Schwerpunkte sind. Den Abschluss bildet ein Kapitel über Fuzzy-Logik.Die Verfahren können bei vielen nichtlinearen Systemen angewendet werden und wurden bereits äußerst erfolgreich in der Medizin, in der Robotik und in der Getriebesteuerung von Hybridfahrzeugen eingesetzt.Neu an der zweiten Auflage sind Kapitel über robuste Schätzverfahren und Concurrent Learning.Die ZielgruppenDas Werk richtet sich an Studierende &nbsp;und Wissenschaftler der Ingenieurwissenschaften, Informatik und Mathematik sowie Ingenieure in der Praxis.Die AutorenUniv.-Prof. i .R. Dr.-Ing. Dr.-Ing. h.c. Dierk Schröder, Fellow IEEE, Technische Universität München, Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik&nbsp;Univ.-Prof. Dr.-Ing./Univ. Tokio habil. Martin Buss, Fellow IEEE, Technische Universität München, Lehrstuhl für Steuerungs- und Regelungstechnik

Identifikation und Regelung nichtlinearer Systeme

Intelligente Verfahren

Algorithms have become the key organizer through which power is enacted in our society. A huge amount of data regarding our daily routines are monitored and analyzed to make recommendations that manage, control, and lead our behaviors in everyday life. AI, Humans, and Misinformation: How Does AI Alter Human Behavior and How Do Humans Influence Algorithmic Misinformation? is a guide to understanding the dynamics of AI and misinformation in human contexts by addressing meaningful questions-How does AI alter human behavior and how do humans influence algorithmic decision-making? In answering these questions, this book examines the role of misinformation, disinformation, and fake news, and shows readers how to develop AI methods and algorithms that combat misinformation by using AI design choices that provide users and developers alike with meaningful control over AI. This book brings together various perspectives on algorithms into an integrated conceptual framework, and provides a broad socio-technical analysis, addressing critical and ethical issues of misinformation and fake news. The book offers a compelling insight into the misinformation phenomenon and the future of AI-based society. Readers will find an integrated technical analysis of the logic and social implications of algorithmic processes. Reporting from the cutting edge of critical technical methods and research, the result is useful and constructive for developing the relations between algorithms and humans. This is an imperative methodology for understanding what is at stake as industry and government use AI to reshape the world.

Decoding Bias, Algorithms, and Trust

Minds, Machines, and Misinformation

Medical Optical Imaging and Virtual Microscopy Image Analysis

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