Convergence Of Artificial Intelligence And Blockchain Technologies, The: Challenges And Opportunities, G Suseendran, R Anandan, Sam Goundar
Автор: Sathiyamoorthi Velayutham Название: Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing ISBN: 1799831116 ISBN-13(EAN): 9781799831112 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 228230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors.
Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care.
With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.
This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.
The groundbreaking book presents state-of-the-art chapters on many subjects including:
A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
A review of current augmenting dental care
An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
A review of telemedicine technologies
Building empathy in young children using augmented reality
AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
Mobile doctor brain AI App
An artificial intelligence mobile cloud computing tool
Development of a robotic teaching aid for disabled children
Training system design of lower limb rehabilitation robot based on virtual reality
Автор: Shi Yuanming, Yang Kai, Yang Zhanpeng Название: Mobile Edge Artificial Intelligence: Opportunities and Challenges ISBN: 0128238178 ISBN-13(EAN): 9780128238172 Издательство: Elsevier Science Рейтинг: Цена: 114530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Mobile Edge Artificial Intelligence: Opportunities and Challenges presents recent advances in wireless technologies and nonconvex optimization techniques for designing efficient edge AI systems. The book includes comprehensive coverage on modeling, algorithm design and theoretical analysis. Through typical examples, the powerfulness of this set of systems and algorithms is demonstrated, along with their abilities to make low-latency, reliable and private intelligent decisions at network edge. With the availability of massive datasets, high performance computing platforms, sophisticated algorithms and software toolkits, AI has achieved remarkable success in many application domains.
As such, intelligent wireless networks will be designed to leverage advanced wireless communications and mobile computing technologies to support AI-enabled applications at various edge mobile devices with limited communication, computation, hardware and energy resources.
Автор: Chesterman Simon Название: We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law ISBN: 1316517683 ISBN-13(EAN): 9781316517680 Издательство: Cambridge Academ Рейтинг: Цена: 38010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.
Автор: Dan Zhang, Bin Wei Название: Novel Design and Applications of Robotics Technologies ISBN: 1522552766 ISBN-13(EAN): 9781522552765 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 199590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medical, social services, and agriculture. Providing successful techniques in robotic design allows for increased autonomous mobility, which leads to a greater productivity level.Novel Design and Applications of Robotics Technologies provides innovative insights into the state-of-the-art technologies in the design and development of robotic technologies and their real-world applications. The content within this publication represents the work of interactive learning, microrobot swarms, and service robots. It is a vital reference source for computer engineers, robotic developers, IT professionals, academicians, and researchers seeking coverage on topics centered on the application of robotics to perform tasks in various disciplines.
Автор: Francesco Corea Название: Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities ISBN: 3319515497 ISBN-13(EAN): 9783319515496 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed.
Автор: Danfeng (Daphne) Yao, Xiaokui Shu, Long Cheng, Salvatore J. Stolfo Название: Anomaly Detection as a Service: Challenges, Advances, and Opportunities ISBN: 1681731096 ISBN-13(EAN): 9781681731094 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 72070.00 T Наличие на складе: Невозможна поставка. Описание: Helps to advance the real-world adoption and deployment of anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats.
Автор: Danfeng (Daphne) Yao, Xiaokui Shu, Long Cheng, Salvatore J. Stolfo Название: Anomaly Detection as a Service: Challenges, Advances, and Opportunities ISBN: 1681732424 ISBN-13(EAN): 9781681732428 Издательство: Mare Nostrum (Eurospan) Цена: 97950.00 T Наличие на складе: Невозможна поставка. Описание: Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the seemingly diverse application domains, anomaly detection solutions share similar technical challenges, such as how to accurately recognize various normal patterns, how to reduce false alarms, how to adapt to concept drifts, and how to minimize performance impact. They also share similar detection approaches and evaluation methods, such as feature extraction, dimension reduction, and experimental evaluation.The main purpose of this book is to help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats. We explain the key technical components in anomaly detection workflows, give in-depth description of the state-of-the-art data-driven anomaly-based security solutions, and more importantly, point out promising new research directions. This book emphasizes on the need and challenges for deploying service-oriented anomaly detection in practice, where clients can outsource the detection to dedicated security providers and enjoy the protection without tending to the intricate details.
Автор: Azar Elie, Haddad Anthony N. Название: Artificial Intelligence in the Gulf: Challenges and Opportunities ISBN: 9811607702 ISBN-13(EAN): 9789811607707 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Particularly related to these `softer` disciplines, we make some unexplored yet topical contributions to the literature, with a focus on the GCC (but by no means limited to it), including AI and implications for women, Islamic schools of thought on AI, and the power of AI to help deliver wellbeing and happiness in cities and urban spaces.
Автор: Roumate Fatima Название: Artificial Intelligence and Digital Diplomacy: Challenges and Opportunities ISBN: 3030686469 ISBN-13(EAN): 9783030686468 Издательство: Springer Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- Chapter 1. Artificial Intelligence: to strengthen or to replace traditional diplomacy.- Chapter 2. Artificial Intelligence: A New Tool For Dimplomats.- Chapter 3. Data Sovereingty: New Challenges For Diplomacy.- Chapter 4. Cyber security new threats for diplomacy.- Chapter 5. "Always There" How Diplomats Deal with Visibility Injunction in the Digital Public Sphere.- Chapter 6. Digitalization Between Security And Order And Democracy And Liberalism.- Chapter 7. Digital Diplomacy And International Regulation of The Web.- Chapter 8. Malicious Use of Artificial Intelligence, New Challenges For Diplomacy And International Psychological Security.- Chapter 9. Artificial Intelligence - The New Tool For Cyber Diplomacy, The Case of The European Union. Chapter 10. European Digital Diplomacy Towards Russia: A Cross-Country Social Media Analysis.- Chapter 11. Foreign Birds on The Wire - Goals And Rhetorical Ethos in Embassies' And Ambassadors' Twitter Communication.- Chapter 12. The Potential And Limits of US Digital Diplomacy In The Middle East And North Africa.- Chapter 13. Twitter Diplomacy on CPEC: Impact on the triangular relationships between the Pak-China and the USA.- Chapter 14. Effective Digital Diplomacy? A Case Study of The British Embassy in Egypt.
Автор: Jennifer Boger, Victoria Young, Jesse Hoey, Tizneem Jiancaro, Alex Mihailidis Название: Zero-Effort Technologies: Considerations, Challenges, and Use in Health, Wellness, and Rehabilitation, Second Edition ISBN: 1681732866 ISBN-13(EAN): 9781681732862 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 82230.00 T Наличие на складе: Невозможна поставка. Описание: This book introduces zero-effort technologies (ZETs), an emerging class of technologies that require little or no effort from the people who use them. ZETs use advanced computing techniques, such as computer vision, sensor fusion, decision-making and planning, machine learning, and the Internet of Things to autonomously perform the collection, analysis, and application of data about the user and/or his/her context. This book begins with an overview of ZETs, then presents concepts related to their development, including pervasive intelligent technologies and environments, design principles, and considerations regarding use. The book discusses select examples of the latest in ZET development before concluding with thoughts regarding future directions of the field.
Novel strategies for data-driven evolutionary optimization
Machine learning using distance-based methods
Counting cells and predicting immunoscore using gradient boosted convolutional neural networks
Kubelka-Munk model and stochastic model comparison in skin physical parameter retrieval using neural networks
A combined approach of neural networks and graphical models in skin cancer inference using spectral imaging
Using wave propagation simulations and convolutional neural networks to retrieve thin coating's thickness from hyperspectral images
Predicting future overweight and obesity from childhood growth data: A case study
Variable selection under a value acquisition budget
Stochastic approximation by successive piecewise linearization
Non-convex robust low-rank matrix recovery
Neural network learning via successive piecewise linearization
Learning for scientific computing purposes
Computational intelligence in design of new nanomaterials
Modeling flow, reactive transport and geomechanics in porous media
Physics constrained machine learning for industrial applications
Parameter and type identification in partial differential equations using deep neural networks
Stability maximization for layered moving web with total mass constraint
Similarity solutions for condensation on a non-isothermal vertical plate
Enhanced topology optimization approach using moving morphable components coupled with NURBS curves
Combined model order reduction and artificial neural network for data assimilation and damage detection in structures
Towards the optimization of fuzzy pattern trees by abs - linearization
Support vector machines in clusterwise linear regression
A Second-order method with enriched hessian information for composite sparse optimization problems
Missing value imputation via nonsmooth optimization and clusterwise linear regression
Parsimonious neural networks
Nobody can stop advancing artificial intelligence (AI) where developing
Computational sciences, physics field theories and geometry
Mini-symposium on ethics in AI
Essentializing software engineering practices for ethically designing and developing artificial intelligence systems 30 Ethics is important, but how can we implement it? Survey on software developers' views on AI ethics
Industrial IoT capabilities in reducing the LCOE of offshore wind energy: A review
High-Performance data analysis with the Helmholtz Analytics Toolkit (HeAT)
Dynamic data-driven application systems based on tensor factorization: learning the physics of model evolution
Predicting customer experience
Puhti-AI: Finland's new AI supercomputer
Using Artificial Intelligence to Classify Textual Applications for Reporting Purposes Application of machine learning methods to error control of approximate solutions
Iterative data selection strategy in offline data-driven evolutionary multiobjective optimization
On surrogate management in interactive multiobjective building energy system design
A modified deep neural network for the rapid inversion of geo-physical resistivity measurements
Using agents for automatic meta-modelling algorithm selection in data-driven multiobjective optimization problems
Future cooperation between Computational Science and AI in Industrial and Societal Applications - challenges, impact and expectations?
Artificial Intelligence, Deep Lea
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