Sensor-Based Activity Recognition and Artificial Intelligence
Biometric Recognition
This two-volume set, LNCS 15352 and LNCS 15353, constitutes the proceedings of the 18th Chinese Conference on Biometric Recognition, CCBR 2024, held in Nanjing, China, during November 22-24, 2024. The 52 full papers presented here were carefully reviewed and selected from 82 submissions. These papers have been categorized under the following topical sections in these two volumes: - Part I: Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking. Part II: Face Detection, Recognition and Tracking; Affective Computing and Human-Computer Interface; Gait, Iris and Other Biometrics; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.
Pattern Recognition and Artificial Intelligence
This volume constitutes the refereed proceedings of the 4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024, held in Jeju Island, South Korea, during July 03-06, 2024. The 69 full papers presented together with 08 short papers were carefully reviewed and selected from a total of 135 submissions. The conference focuses on topics that includes advanced deep learning approaches for image and document processing, generative AI, novel analysis methods for medical data, and biometrics.
Pattern Recognition and Artificial Intelligence
This volume constitutes the refereed proceedings of the 4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024, held in Jeju Island, South Korea, during July 03-06, 2024. The 69 full papers presented together with 08 short papers were carefully reviewed and selected from a total of 135 submissions. The conference focuses on topics that includes advanced deep learning approaches for image and document processing, generative AI, novel analysis methods for medical data, and biometrics.
Biometric Recognition
This two-volume set, LNCS 15352 and LNCS 15353, constitutes the proceedings of the 18th Chinese Conference on Biometric Recognition, CCBR 2024, held in Nanjing, China, during November 22-24, 2024. The 52 full papers presented here were carefully reviewed and selected from 82 submissions. These papers have been categorized under the following topical sections in these two volumes: - Part I: Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking. Part II: Face Detection, Recognition and Tracking; Affective Computing and Human-Computer Interface; Gait, Iris and Other Biometrics; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.
Diabetic Foot Ulcers Grand Challenge
This book constitutes the 4th Challenge on Diabetic Foot Ulcers, DFUC2024, held in conjunction with the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024. The 8 full papers presented in this book together with 2 invited papers were carefully reviewed and selected from 11 submissions. The task of DFUC 2024 was on self-supervised learning in ulcer segmentation, for the purpose of supporting research towards more advanced methods to overcome data deficiency and unlabelled data.
Artificial Intelligence Security and Privacy
This book constitutes the refereed proceedings of the Second International Conference on Artificial Intelligence Security and Privacy, AIS&P 2024, held in Guangzhou, China, during December 6-7, 2024. The 14 full papers included in this book were carefully reviewed and selected from 47 submissions. The papers help to researchers to exchange latest research progress in all areas such as artificial intelligence, security and privacy, and their applications.
Medical Optical Imaging and Virtual Microscopy Image Analysis
This book constitutes the refereed proceedings of the Second International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis, MOVI 2024, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024. The 21 regular papers presented at MOVI 2024 were carefully reviewed and selected from 29 submissions. They are grouped into these two topical sections: Medical Optical Imaging and Virtual Microscopy Image Analysis and Kidney Pathology Image segmentation (KPIs) Challenge.
Medical Image Computing and Computer Assisted Intervention - Miccai 2024 Workshops
This book constitutes the proceedings from the workshops held at the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco in October 2024. The 23 papers presented in this volume were carefully reviewed and selected from the total submissions from the following workshops: - Ninth International Skin Imaging Collaboration Workshop (ISIC 2024) Seventh International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2024) Embodied AI and Robotics for HealTHcare Workshop (EARTH 2024) Fifth MICCAI Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2024)
Knowledge Cartography for Young Thinkers
Discover the transformative power of knowledge mapping with this revolutionary book. You will have access to a rich collection of mapping techniques, technologies, and real-life applications designed for learners of all ages and across disciplines. This book aims to help learners create knowledge with the support of artificial intelligence mapping apps and engage them deeply with sustainable development supported by green digital skills. Experience the dynamic world of mind maps, concept maps, dialogue maps, and more, brought to life by educators, researchers, experts, and young students. This is not just a book; it is a movement toward diverse, interactive learning methods to shape a sustainable future. Perfect for teachers, trainers, nonformal educators, and education professionals, the book embraces the innovative CARE-KNOW-DO framework to transform how young people tackle pressing issues. It combines exploration, understanding, and actionable steps for sustainability. This book offers invaluable resources to help researchers explore trends, connect relevant information, and produce significant narratives supported by AI. It guides the use of knowledge maps in decision-making, sense-making, and inspiring future generations. The book also explores the methodology behind its creation, including case studies, teaching strategies, and learning outcomes, all of which are grounded in extensive literature and ethical standards. Embrace a new era of learning with this open-access book on knowledge mapping. It is set to transform the way we think, research, teach, and learn. It is an open access book.
Videogame Sciences and Arts
This book constitutes the refereed proceedings of the 14th International Conference on Videogame Sciences and Arts, VJ 2024, held in Leiria, Portugal, during December 5-6, 2024. The 15 full papers and 3 short papers included in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: Player Experience and Accessibility; Serious Games; Edutainment; Game Design and Development; and Games and Artificial Intelligence.
AI for Creatives
AI for Creatives: Unlocking Expressive Digital Potential takes you on a dynamic journey into the future of creativity, where AI is reshaping how creators approach their craft. According to a 2023 UNESCO report, the global creative industries are valued at an astounding USD 4.3 trillion annually, employing nearly 30 million people worldwide. This essential guide empowers professionals across visual arts, music, writing, film, fashion, and design to leverage the transformative potential of AI to elevate their work in ways previously unimaginable.Designed as a practical handbook for creative professionals, this book provides a clear and approachable road map for integrating AI into your work, regardless of prior experience. Packed with real-world case studies, step-by-step walk-throughs, and insights into AI-driven tools, like RunwayML, Midjourney, Canva, and ChatGPT, the book demonstrates how AI can supercharge creative processes. Whether you are a filmmaker using AI for hyper-realistic visuals or a fashion designer predicting fabric trends, this guide offers the tools to unlock your full creative potential.The book also dives into the deeper ethical and legal questions that emerge as machines increasingly enter the creative arena. How do we strike the right balance between human ingenuity and machine-driven creativity? What happens to intellectual property rights when AI becomes a co-creator? This book tackles these pressing issues head-on, from navigating bias in AI algorithms to safeguarding the authenticity of creative works, while also exploring the role of education in navigating these challenges. With actionable insights, creative professionals will learn to embrace AI while preserving the integrity, originality, and values that define their craft.AI is not just changing how we create but also disrupting the future of employment and economic growth across the globe. With the demand for creative roles projected to surge by 30-40% by 2030, it is evermore critical to harness the power of AI to stay ahead, innovate faster, and meet the growing need for creative solutions across industries. Are you ready to explore the future of creativity and amplify your vision? Step into the next era of AI transformation with this essential guide--your creative revolution starts now.
Why We Fear AI
Fears about AI tell us more about capitalism today than technology in the future.Will AI come and take all our jobs? Will it dominate humanity, hack the foundations of our civilization, or even wipe humans of the face of the planet? All kinds of people seem to think so. From academics to billionaires, artists to fraudsters, journalists to the pope, AI nightmares have gripped the popular imagination. Why We Fear AI boldly asserts these fears are actually about capitalism, reimagined as a kind of autonomous intelligent agent. Science and tech industry insiders Hagen Blix and Ingeborg Glimmer dive into the dark, twisted, and arcane world of AI nightmares in order to demystify what people say about it. They combine expertise in cognitive science and machine learning with political and economic analyses to cut through the hype and technobabble, and show how fears about AI reflect very different economic realities: from venture capitalists to AI engineers, from artists to warehouse workers at Amazon. If we want to understand the fears and potential impacts of AI, we must think about capitalism, the economy, and class power in real terms we can confront and wage our struggles on.Blix and Glimmer argue that AI nightmares reveal the terrifying underbelly of our current society, of the violence and alienation at the root of capitalism and its way of organizing our world in its image. If we simply let capitalism and tech billionaires run wild, we can expect the worst: automated bureaucracies that protect the powerful and punish the poor; an ever-expanding surveillance apparatus; the cheapening of skills, downward pressures on wages, the expansion of gig-work, and crushing inequality. But that outcome is not inevitable, however much capitalist may dream of it. Why We Fear AI points the way to a different and brighter future, one where our labor, knowledge, and technologies serves us, rather than us serving capital and its owners.
Exam Ref MD-102 Microsoft Endpoint Administrator
Prepare for Microsoft Exam MD-102 and help demonstrate your real-world mastery of the skills and knowledge required to deploy, manage, and protect modern endpoints at scale in Microsoft 365 environments. Designed for endpoint administrators, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: Prepare infrastructure for devices Manage and maintain devices Manage applications Protect devices This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience with Microsoft Entra ID and Microsoft 365 technologies, including Intune, as well as strong skills and experience in deploying, configuring, and maintaining Windows client and non-Windows devices About the Exam Exam MD-102 focuses on the knowledge needed to prepare infrastructure for devices; enroll devices to Microsoft Intune; implement identity and compliance; deploy and upgrade Windows clients by using cloud-based tools; plan and implement device configuration profiles; plan remote actions on devices; manage applications; deploy and update apps; plan and implement app protection and app configuration policies; configure endpoint security; and manage device updates by using Intune. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft 365 Certified: Endpoint Administrator Associate credential, demonstrating your ability to implementing solutions for efficient deployment and management of endpoints on various operating systems, platforms, and device types; implement and manage endpoints at scale by using Microsoft Intune, Microsoft Intune Suite, Windows Autopilot, Microsoft Copilot for Security, Microsoft Defender for Endpoint, Microsoft Entra ID, Azure Virtual Desktop, and Windows 365; and implement identity, security, access, policies, updates, and apps for endpoints. See full details at: microsoft.com/learn
Next Generation Internet
The development of the internet, particularly the World Wide Web, is currently hitting its limits--both technically and socio-culturally, as well as economically. A new internet is promised as a solution, one that aims to overcome the boundaries between the real and the virtual world, merging reality and digitality--the metaverse. Technical, semantic, and organizational details are closely intertwined in this context. But what does this mean upon closer examination? What technical and technological challenges must be overcome to achieve such a merging? What economic opportunities arise--and which ones may be precluded? How can we ensure that an open and universally accessible metaverse is created? And how can we prevent a few large providers from imposing their proprietary ideas in this new metaverse? This book aims to provide answers to these questions.
Computing, Communication and Learning
This book constitutes the refereed proceedings of the Third International Conference on Computing, Communication and Learning, CoCoLe 2024, held in Warangal, India, in September 2024. The 24 full papers and 10 short papers presented here were carefully reviewed and selected from 149 submissions. These papers have been categorized under the following topical sections: Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains; Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing; Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing.
Artificial Intelligence: Methodology, Systems, and Applications
This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024, held in Varna, Bulgaria, during September 18-20, 2024. The 18 revised full papers presented in this book were carefully reviewed and selected from 23 submissions. They cover a wide range of topics in AI and its applications: natural language processing, sentiment analyses, image processing, optimization, reinforcement learning, from deep ANNs to spike timing NNs, applications in economics, medicine and process control.
Artificial Intelligence and Machine Learning
The two-volume proceedings set CCIS 2299 and 2300, constitutes the refereed proceedings of the 43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024, held in Madrid, Spain, in June 26-27, 2024. The 44 full papers and 18 short papers included in this book were carefully reviewed and selected from 119 submissions. They were organized in topical sections as follows: Part I: Artificial Intelligence and Machine Learning; Information Systems and Communications Technologies. Part II: Artificial Intelligence and Machine Learning; Software Engineering; Computer Security and Privacy.
Artificial Intelligence and Machine Learning
The two-volume proceedings set CCIS 2299 and 2300, constitutes the refereed proceedings of the 43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024, held in Madrid, Spain, in June 26-27, 2024. The 44 full papers and 18 short papers included in this book were carefully reviewed and selected from 119 submissions. They were organized in topical sections as follows: Part I: Artificial Intelligence and Machine Learning; Information Systems and Communications Technologies. Part II: Artificial Intelligence and Machine Learning; Software Engineering; Computer Security and Privacy.
Intelligent Systems
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Bel矇m do Par獺, Brazil, during November 17-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
Sensor Networks for Smart Hospitals
Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access. Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency.
Advanced Sensors for Smart Healthcare
Advanced Sensors for Smart Healthcare provides an invaluable resource for researchers and healthcare practitioners who are eager to use technology to improve the lives of patients. Sections highlight data from sensor networks via the smart hospital framework, including data, insights, and access. This book shows how the use of sensors to gather data on a patient's condition and the environment their care takes place in can allow healthcare professionals to monitor well-being and make informed decisions about treatment.
Intelligent Systems
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Bel矇m do Par獺, Brazil, during November 17-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
Intelligent Systems
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Bel矇m do Par獺, Brazil, during November 18-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
Imperfect Oracle
Best-selling author Cass R. Sunstein outlines the promise and limits of artificial intelligence Imperfect Oracle is about the promise and limits of artificial intelligence. The promise is that in important ways AI is better than we are at making judgments. Its limits are evidenced by the fact that AI cannot always make accurate predictions--not today, not tomorrow, and not the day after, either. Natural intelligence is a marvel, but human beings blunder because we are biased. We are biased in the sense that our judgments tend to go systematically wrong in predictable ways, like a scale that always shows people as heavier than they are, or like an archer who always misses the target to the right. Biases can lead us to buy products that do us no good or to make foolish investments. They can lead us to run unreasonable risks, and to refuse to run reasonable risks. They can shorten our lives. They can make us miserable. Biases present one kind of problem; noise is another. People are noisy not in the sense that we are loud, though we might be, but in the sense that our judgments show unwanted variability. On Monday, we might make a very different judgment from the judgment we make on Friday. When we are sad, we might make a different judgment from the one we would make when we are happy. Bias and noise can produce exceedingly serious mistakes. AI promises to avoid both bias and noise. For institutions that want to avoid mistakes it is now a great boon. AI will also help investors who want to make money and consumers who don't want to buy products that they will end up hating. Still, the world is full of surprises, and AI cannot spoil those surprises because some of the most important forms of knowledge involve an appreciation of what we cannot know and why we cannot know it. Life would be a lot less fun if we could predict everything.
Optimization and Data Science in Industrial Engineering
This two-volume set CCIS 2204 and 2205 constitutes the refereed proceedings of the First International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2023, held in Istanbul, Turkey, during November 16-17, 2023. The 33 full papers and 2 short papers presented in these proceedings were carefully reviewed and selected from 311 submissions. The papers were organized in the following topical sections: Part I: smart and intelligent transportation systems; machine/deep/reinforcement learning in industries; and advances of artificial intelligence/operational research tools in healthcare. Part II: technology, learning and analytics in intelligent systems; expert systems, decision analysis, and advanced optimization; digital transformation of supply chain and logistics systems.
Strategic Writing for UX
When you depend on users to perform specific actions--like buying tickets, playing a game, or riding public transit--well-placed words are most effective. But how do you choose the right words? And how do you know if they work? With this practical book, you'll learn how to write strategically for UX, using tools to build foundational pieces for UI text and UX voice strategy. This second edition by Torrey Podmajersky is an essential resource, thoroughly updated to incorporate the latest in collaborative tools and considerations for AI-generated UX content. It reflects significant advancements in the field of content design, updating every chapter with the latest UX methods and styles. Understand the integration of UX content with the software development lifecycle Learn content-first design to anchor UX text in meaningful dialogue Apply UX text patterns effectively across varied brand voices Enhance product usability and conversion with strategic UI text applications Clearly articulate the business value of dedicated UX content efforts
Optimization and Learning
This book constitutes the refereed proceedings of the 7th International Conference on Optimization and Learning, OLA 2024, held in Dubrovnik, Croatia, during May 13-15, 2024. The 24 full papers presented here were carefully reviewed and selected from 64 submissions. They were organized in the following topical sections: synergies between optimization and machine learning; enhancing optimization and learning techniques; transportation and routing; and applications.
