Robots, Artificial Intelligence and Service Automation in Travel, Tourism and Hospitality, Craig Webster, Stanislav Ivanov
Автор: Maria Rellie B. Kalacas Название: Hospitality and Tourism Marketing: A global perspective ISBN: 1774072637 ISBN-13(EAN): 9781774072639 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 63390.00 T Наличие на складе: Есть Описание: Explains the process of marketing in the hospitality and tourism industry. The book discusses the marketing environment of the tourism and hospitality sector and the role of social media marketing in the field. Also discussed is the role of consumer behaviour, organisational strategy, and the impact of marketing.
Is Artificial Intelligence (AI) our greatest existential threat? Will AI take your Job? Is Privacy dead? Is Universal Basic Income a viable strategy or just a temporary bandage? Will AI solve all our problems? Will it make us happier? We can't put the genie back in the bottle once it's out. If we don't candidly answer the pertinent questions, we will only paint a false picture.
We are standing at a crucial and pivotal point in history. It's time for diversity in AI. This unprecedented technology will affect society as a whole and we need individuals from diverse disciplines and backgrounds to join the discussion. The issues surrounding AI can't be left to a small group of scientists, technologists or business executives to address. Our future and our children's future are at stake.
More than ever, we need leaders who will stand on integrity and who will put people first.
Do you want to take a glimpse into the future of leadership? The Future of Leadership: Rise of Automation, Robotics and Artificial Intelligence offers the most comprehensive view of what is taking place in the world of AI and emerging technologies, and gives valuable insights that will allow you to successfully navigate the tsunami of technology that is coming our way.
Автор: Li, Fanzhang / Zhang, Li / Zhang, Zhao Название: Dynamic Fuzzy Machine Learning ISBN: 3110518708 ISBN-13(EAN): 9783110518702 Издательство: Walter de Gruyter Рейтинг: Цена: 149590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.
Название: Rapid Automation: Concepts, Methodologies, Tools, and Applications ISBN: 1522580603 ISBN-13(EAN): 9781522580607 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 2171400.00 T Наличие на складе: Невозможна поставка. Описание: Provides innovative insights into the state-of-the-art technologies in the design and development of robotics and their real-world applications in business processes. The book highlights a range of topics, including workflow automation tools, human-computer interaction, and swarm robotics.
Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.
Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.
In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.
Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.
In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
Автор: Maki K Habib Название: Advanced Robotics and Intelligent Automation in Manufacturing ISBN: 1799823229 ISBN-13(EAN): 9781799823223 Издательство: Mare Nostrum (Eurospan) Цена: 180180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: While human capabilities can withstand broad levels of strain, they cannot hope to compete with the advanced abilities of automated technologies. Developing advanced robotic systems will provide a better, faster means to produce goods and deliver a level of seamless communication and synchronization that exceeds human skill. Advanced Robotics and Intelligent Automation in Manufacturing is a pivotal reference source that provides vital research on the application of advanced manufacturing technologies in regards to production speed, quality, and innovation. While highlighting topics such as human-machine interaction, quality management, and sensor integration, this publication explores state-of-the-art technologies in the field of robotics engineering as well as human-robot interaction. This book is ideally designed for researchers, students, engineers, manufacturers, managers, industry professionals, and academicians seeking to enhance their innovative design capabilities.
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.
Название: Robots, artificial intelligence and service automation in travel, tourism and hospitality ISBN: 1787566889 ISBN-13(EAN): 9781787566880 Издательство: Emerald Рейтинг: Цена: 105690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Using a combination of theoretical discussion and real-world case studies, this book focuses on current and future use of RAISA technologies in the tourism economy, including examples from the hotel, restaurant, travel agency, museum, and events industries.
Название: Delivering Tourism Intelligence ISBN: 1787698106 ISBN-13(EAN): 9781787698109 Издательство: Emerald Рейтинг: Цена: 128730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume demonstrates that tourism research can deliver quality implications for a range of stakeholders. Contributions from authors across the continents serve to illustrate ways in which academic analysis can, and does, result in action.
Автор: Kovac, Mitja Название: Judgement-Proof Robots and Artificial Intelligence A Comparative Law and Economics Approach ISBN: 3030536432 ISBN-13(EAN): 9783030536435 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the role of public policy in regulating the autonomous artificial intelligence and related civil liability for damage caused by the robots (and any form of artificial intelligence).
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