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: Kumar, Ashish Название: 6G-Enabled IoT and AI for Smart Healthcare ISBN: 1032343451 ISBN-13(EAN): 9781032343457 Издательство: Taylor&Francis Рейтинг: Цена: 127600.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Tawseef Ayoub Shaikh Название: AI-Enabled IoT for Smart Health Care Systems ISBN: 1685079776 ISBN-13(EAN): 9781685079772 Издательство: Nova Science Рейтинг: Цена: 182680.00 T Наличие на складе: Невозможна поставка. Описание: The book focuses on intelligent computer-aided tools and techniques for early and precise disease diagnosis. Trending topics like deep learning and the internet of things have immense opportunities in healthcare data analytics. So, the contents of the book are targeted mainly at the automated CAD tools for healthcare data analytics. A major portion of the book emphasizes the recent state-of-the-art methodologies, tools, and datasets that are used in healthcare diagnosis, patient monitoring, healthcare recommendation systems, etc.
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: Guneet Kaur, Sandeep Kautish Название: AI-Enabled Agile Internet of Things for Sustainable FinTech Ecosystems ISBN: 1668441764 ISBN-13(EAN): 9781668441763 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 280890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents the advances in AI-assisted agile IoT for financial technologies (FinTech). The book further explains the new applications, current issues, challenges, and future directions of the field of AI-assisted agile IoT for FinTech applications and ecosystems.
Автор: Gaurav Dhiman, Sandeep Kautish Название: AI-Enabled Multiple Criteria Decision-Making Approaches for Healthcare Management ISBN: 1668444054 ISBN-13(EAN): 9781668444054 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 280890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In practical health care cases, semi-structured and unstructured decision-making issues involve multiple criteria (or goals) that may conflict with each other. Thus, the use of MCDM is a promising source of practical solutions for such problems.
Автор: Guneet Kaur, Sandeep Kautish Название: AI-Enabled Agile Internet of Things for Sustainable FinTech Ecosystems ISBN: 1668441772 ISBN-13(EAN): 9781668441770 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 206050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents the advances in AI-assisted agile IoT for financial technologies (FinTech). The book further explains the new applications, current issues, challenges, and future directions of the field of AI-assisted agile IoT for FinTech applications and ecosystems.
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: Al-Turjman, Fadi (Near East Uni., Nicosia) Название: Smart Grid in IoT-Enabled Spaces ISBN: 0367551772 ISBN-13(EAN): 9780367551773 Издательство: Taylor&Francis Рейтинг: Цена: 42870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book, we consider the most significant and emergent research topics in this domain, addressing major issues and challenges in IoT-based solutions proposed for the smart grid. The chapters provide insight on comprehensive topics in IoT-based smart grid, combining technical aspects with the most up to date theory.
Автор: Al-Turjman, Fadi Название: Smart-Grid in IoT-enabled Spaces ISBN: 0367517884 ISBN-13(EAN): 9780367517885 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book, we consider the most significant and emergent research topics in this domain, addressing major issues and challenges in IoT-based solutions proposed for the smart grid. The chapters provide insight on comprehensive topics in IoT-based smart grid, combining technical aspects with the most up to date theory.
Автор: Bhattacharyya Siddhartha, Das Gautam, de Sourav Название: Intelligence Enabled Research: DoSIER 2021 ISBN: 981190488X ISBN-13(EAN): 9789811904882 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12–13, 2021). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Автор: Siddhartha Bhattacharyya; Sushmita Mitra; Paramart Название: Intelligence Enabled Research ISBN: 9811520208 ISBN-13(EAN): 9789811520204 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India).
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