الصفحة 30
الصفحة 30
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Assessment and future directions of nonlinear model predictive control

Thepastthree decadeshaveseenrapiddevelopmentin the areaofmodelpred- tive control with respect to both theoretical and application aspects. Over these 30 years, model predictive control for linear systems has been widely applied, especially in the area of process control. However, today’s applications often require driving the process over a wide region and close to the boundaries of - erability, while satisfying constraints and achieving near-optimal performance. Consequently, the application of linear control methods does not always lead to satisfactory performance, and here nonlinear methods must be employed. This is one of the reasons why nonlinear model predictive control (NMPC) has - joyed signi?cant attention over the past years,with a number of recent advances on both the theoretical and application frontier. Additionally, the widespread availability and steadily increasing power of today’s computers, as well as the development of specially tailored numerical solution methods for NMPC, bring thepracticalapplicabilityofNMPCwithinreachevenforveryfastsystems.This has led to a series of new, exciting developments, along with new challenges in the area of NMPC.

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Assessing Race, Ethnicity and Gender in Health

Where there are patients, clients, or study participants, there are data. And when data involve personal variables of race, ethnicity, gender, and/or sexual orientation, questions of relevance and marginalization often arise. Assessing Race, Ethnicity, and Gender in Health brings needed clarity to the debate by identifying the ethical issues as well as the technical challenges inherent in measuring these elusive concepts.

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Asian century … on a knife-edge : A 360 degree analysis of Asia's recent economic development

This book delves into the widely held belief that the 21st century will be the "Asian Century" by examining the Asia's rapid economic development in the post-war era and the challenges it faces in forging ahead of world leaders in the West. The impact of the current turbulent global political climate on Asia is critically analyzed, employing a holistic and multidisciplinary approach, combining economic, social, political and geopolitical perspectives. Written in an accessible style, the book offers students, business, government, and civil society players powerful insights on Asia.

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Artistic cartography and design explorations towards the pluriverse

Explores the pluriverse of art and design through epistemological and methodological considerations. What kinds of sustainable ways are there for knowledge transfer, supporting plural agendas, finding novel ways for unsettling conversations, unlearning and learning and challenging power structures with marginalised groups and contexts through art and design? The main themes of the book are art and design methods, epistemologies and practices that provide critical, interdisciplinary, pluriversal and decolonial considerations. The book challenges the domination of the white logic of art and design and shifts away from the Anglo-European one-world system towards the pluriverse.

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Artificiality and sustainability in entrepreneurship : Exploring the unforeseen, and paving the way to a sustainable future

Explores the past, present, and future of artificiality and sustainability in entrepreneurship – the unforeseen consequences and ways to advance to a sustainable future. In particular, it connects artificiality, sustainability and entrepreneurship, intertwining artificial with the specific phenomenon of those novel digital technologies that provoke continuous and significant change in our lives and business. Unlike digital entrepreneurship research, which focuses on digital technology development and management, this book covers processes and mechanisms of sustainable adaptability of entrepreneurs, the business logic of start-ups, and the collaborative behaviours under the mass digital transformation, including the prevalence of artificial intelligence. Some of the questions that this book answers are as follows: How has entrepreneurship reacted to such challenges previously? What lessons have been learned and need to be carried forward? How can entrepreneurship and the artefacts of entrepreneurship respond to current challenges? What should be the mindset of the entrepreneur to assure sustainable adaptation? How to embrace and embed the new business logic?

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Artificial sight : Basic research, biomedical engineering, and clinical advances

Artificial sight is a frontier area of modern ophthalmology combining the multidisciplinary skills of surgical ophthalmology, biomedical engineering, biological physics, and psychophysical testing. Many scientific, engineering, and surgical challenges must be surmounted before widespread practical applications can be realized. The goal of Artificial Sight is to summarize the state-of-the-art research in this exciting area, and to describe some of the current approaches and initiatives that may help patients in a clinical setting.

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Artificial intelligence in medicine

Provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting.

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Artificial intelligence hardware design : Challenges and solutions

Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field. A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition

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Artificial Intelligence for Cloud and Edge Computing

Discusses the future possibilities of AI with cloud computing and edge computing. Aims to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. Readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals. Presents fusion of cloud computing services and AI technology for bringing a significant change in the technology industry; Includes self-assessment problems for increasing knowledge of real world problems, i.e., how AI and cloud/edge computing can change business for the better; Provides innovative results of integrations of AI in other applications such as healthcare, finance, manufacturing, transportation, agriculture, etc.

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Artificial intelligence based cancer nanomedicine : Diagnostics, therapeutics and bioethics

Nanomedicine is evolving with novel drug formulations devised for multifunctional approaches towards diagnostics ad therapeutics. Nanomedicine-based drug therapy is normally explored at a fixed dose. The drug action is time-dependent, dose-dependent and patient-specific. To overcome challenges of nanomedicine testing, artificial intelligence (AI) serves as a helping tool for optimizing the drug and dose parameters. Real time conversions between these two features enables upgradation of patient data acquisition and improved design of nanomaterials. In this scenario, AI-based pattern analysis and algorithms models can greatly improve accuracy of diagnostics and therapeutics.

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Artificial intelligence applied to medical imaging and computational biology

Medical imaging and computational biology continuously pose new fundamental medical and biological questions that often give rise to novel challenges in Artificial Intelligence. These research fields present an increasing need for the application of cutting-edge computational approaches that generally involve machine learning or computational intelligence techniques, which can effectively perform bioimage and biosignal processing in different clinical areas.

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Artificial intelligence and national security

Analyses the implications of the technical, legal, ethical and privacy challenges as well as challenges for human rights and civil liberties regarding Artificial Intelligence (AI) and National Security. It also offers solutions that can be adopted to mitigate or eradicate these challenges wherever possible. As a general-purpose, dual-use technology, AI can be deployed for both good and evil. The use of AI is increasingly becoming of paramount importance to the governments mission to keep their nations safe. However, the design, development and use of AI for national security poses a wide range of legal, ethical, moral and privacy challenges. This book explores national security uses for Artificial Intelligence (AI) in Western Democracies and its malicious use. This book also investigates the legal, political, ethical, moral, privacy and human rights implications of the national security uses of AI in the aforementioned democracies. It illustrates how AI for national security purposes could threaten most individual fundamental rights, and how the use of AI in digital policing could undermine user human rights and privacy.

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Artificial Intelligence and Cybersecurity : Advances and Innovations

Provides advanced system implementation for Smart Cities using artificial intelligence. It addresses the complete functional framework workflow and explores basic and high-level concepts. The book is based on the latest technologies covering major challenges, issues and advances, and discusses intelligent data management and automated systems.

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Artificial Intelligence : Applications and innovations

It's about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. This book provides a valuable resource for researchers, scientists, professionals, academicians and students dealing with the new challenges and advances in the areas of AI and innovations. This book also covers a wide range of applications of machine learning such as fire detection, structural health and pollution monitoring and control. Provides insight into prospective research and application areas related to industry and technology / Discusses industry- based inputs on success stories of technology adoption / Discusses technology applications from a research perspective in the field of AI / Provides a hands- on approach and case studies for readers of the book to practice and assimilate learning

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Architectural acoustics: A guide to integrated thinking

An authoritative but uniquely accessible and highly illustrated guide to good acoustic design practice for architects, interior designers and acoustic professionals. It provides a user-friendly introduction to architectural acoustics and acoustics technology where the market is crowded with dense and technical texts. It will go through each typology in turn explaining the key acoustic concepts with highly illustrated and international case studies that demonstrate cutting-edge practice and technology, innovative design techniques and common challenges and solutions

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Arabic Computational Morphology : Knowledge-based and Empirical Methods

The morphology of Arabic poses special challenges to computational natural language processing systems. The exceptional degree of ambiguity in the writing system, the rich morphology, and the highly complex word formation process of roots and patterns all contribute to making computational approaches to Arabic very challenging. Indeed many computational linguists across the world have taken up this challenge over time, and many of the researchers with a track record in this research area have contributed to this book.

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Aquaponics Food Production Systems : Combined Aquaculture and Hydroponic Production Technologies for the Future

This book, written by world experts in aquaponics and related technologies, provides the authoritative and comprehensive overview of the key aquaculture and hydroponic and other integrated systems, socio-economic and environmental aspects. Aquaponic systems, which combine aquaculture and vegetable food production offer alternative technology solutions for a world that is increasingly under stress through population growth, urbanisation, water shortages, land and soil degradation, environmental pollution, world hunger and climate change.

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Approaches to Metaphysics

Today, when systematic philosophy - and reason itself - are challenged both outside of and within philosophy, is it still possible to do metaphysics? This volume provides a broad perspective on contemporary approaches to the nature and the fundamental questions of metaphysics. Drawing on scholars from continental Europe, Asia, Canada, the United States, and Great Britain, and representing a variety of philosophical cultures and traditions, this volume surveys and extends work in metaphysics and its implications for broader philosophical concerns (e.g., in ethics and social philosophy, in mathematics and logic, and in epistemology). It also addresses such questions as the role of history and historicity in undertaking metaphysics, the nature of metaphysics, the priority of metaphysics over epistemology, and the challenges of empiricism and postmodernism.

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Applications of artificial intelligence, big data and internet of things in sustainable development

Focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science.

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Applications of artificial intelligence in business, education and healthcare

Highlights the opportunities and challenges of artificial intelligence in business, education, and healthcare from institutional, environmental, social perspectives Includes empirical and theoretical research Presents applications of Artificial Intelligence in Business, Education and Healthcare

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