Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning

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Author :
Publisher : KIT Scientific Publishing
ISBN 13 : 3731513714
Total Pages : 190 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning by : Thorgeirsson, Adam Thor

Download or read book Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning written by Thorgeirsson, Adam Thor and published by KIT Scientific Publishing. This book was released on 2024-09-03 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage of probabilistic prediction models is demonstrated and it is shown that federated learning can improve driving range prediction. Using probabilistic predictions, routing and charge planning based on destination attainability can be applied. Furthermore, it is shown that probabilistic predictions lead to reduced travel time.

Federated Learning

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Publisher : Springer Nature
ISBN 13 : 3030630765
Total Pages : 291 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Federated Learning by : Qiang Yang

Download or read book Federated Learning written by Qiang Yang and published by Springer Nature. This book was released on 2020-11-25 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”

Creating Autonomous Vehicle Systems

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681731673
Total Pages : 285 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Creating Autonomous Vehicle Systems by : Shaoshan Liu

Download or read book Creating Autonomous Vehicle Systems written by Shaoshan Liu and published by Morgan & Claypool Publishers. This book was released on 2017-10-25 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.

Next Generation Earth System Prediction

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Publisher : National Academies Press
ISBN 13 : 0309388805
Total Pages : 351 pages
Book Rating : 4.3/5 (93 download)

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Book Synopsis Next Generation Earth System Prediction by : National Academies of Sciences, Engineering, and Medicine

Download or read book Next Generation Earth System Prediction written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-08-22 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the nation's economic activities, security concerns, and stewardship of natural resources become increasingly complex and globally interrelated, they become ever more sensitive to adverse impacts from weather, climate, and other natural phenomena. For several decades, forecasts with lead times of a few days for weather and other environmental phenomena have yielded valuable information to improve decision-making across all sectors of society. Developing the capability to forecast environmental conditions and disruptive events several weeks and months in advance could dramatically increase the value and benefit of environmental predictions, saving lives, protecting property, increasing economic vitality, protecting the environment, and informing policy choices. Over the past decade, the ability to forecast weather and climate conditions on subseasonal to seasonal (S2S) timescales, i.e., two to fifty-two weeks in advance, has improved substantially. Although significant progress has been made, much work remains to make S2S predictions skillful enough, as well as optimally tailored and communicated, to enable widespread use. Next Generation Earth System Predictions presents a ten-year U.S. research agenda that increases the nation's S2S research and modeling capability, advances S2S forecasting, and aids in decision making at medium and extended lead times.

Global Climate Change Impacts in the United States

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Publisher : Cambridge University Press
ISBN 13 : 0521144078
Total Pages : 193 pages
Book Rating : 4.5/5 (211 download)

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Book Synopsis Global Climate Change Impacts in the United States by : U.S. Global Change Research Program

Download or read book Global Climate Change Impacts in the United States written by U.S. Global Change Research Program and published by Cambridge University Press. This book was released on 2009-08-24 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summarizes the science of climate change and impacts on the United States, for the public and policymakers.

Edge AI

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Publisher : Springer Nature
ISBN 13 : 9811561869
Total Pages : 156 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Edge AI by : Xiaofei Wang

Download or read book Edge AI written by Xiaofei Wang and published by Springer Nature. This book was released on 2020-08-31 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.

AI and Learning Systems

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1789858771
Total Pages : 274 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis AI and Learning Systems by : Konstantinos Kyprianidis

Download or read book AI and Learning Systems written by Konstantinos Kyprianidis and published by BoD – Books on Demand. This book was released on 2021-02-17 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall: •Digital Platforms and Learning Systems •Industrial Applications of AI

Machine Learning and Wireless Communications

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1108967736
Total Pages : 560 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis Machine Learning and Wireless Communications by : Yonina C. Eldar

Download or read book Machine Learning and Wireless Communications written by Yonina C. Eldar and published by Cambridge University Press. This book was released on 2022-06-30 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can machine learning help the design of future communication networks – and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learning applications – an overview of modern machine learning techniques and communication protocols will help you to understand the challenges, while new methods and design approaches will be presented to handle wireless channel impairments such as noise and interference, to meet the demands of emerging machine learning applications at the wireless edge.

WIPO Technology Trends 2019 - Artificial Intelligence

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Author :
Publisher : WIPO
ISBN 13 : 9280530070
Total Pages : 156 pages
Book Rating : 4.2/5 (85 download)

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Book Synopsis WIPO Technology Trends 2019 - Artificial Intelligence by : World Intellectual Property Organization

Download or read book WIPO Technology Trends 2019 - Artificial Intelligence written by World Intellectual Property Organization and published by WIPO. This book was released on 2019-01-21 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.

Agents and Robots for reliable Engineered Autonomy

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Publisher : Springer Nature
ISBN 13 : 3031731808
Total Pages : 175 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Agents and Robots for reliable Engineered Autonomy by : Angelo Ferrando

Download or read book Agents and Robots for reliable Engineered Autonomy written by Angelo Ferrando and published by Springer Nature. This book was released on with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Frontiers in Massive Data Analysis

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Publisher : National Academies Press
ISBN 13 : 0309287812
Total Pages : 191 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Frontiers in Massive Data Analysis by : National Research Council

Download or read book Frontiers in Massive Data Analysis written by National Research Council and published by National Academies Press. This book was released on 2013-09-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.

Logistics Transportation Systems

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Publisher : Elsevier
ISBN 13 : 0128162872
Total Pages : 455 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Logistics Transportation Systems by : MD Sarder

Download or read book Logistics Transportation Systems written by MD Sarder and published by Elsevier. This book was released on 2020-10-17 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Logistics Transportation Systems compiles multiple topics on transportation logistics systems from both qualitative and quantitative perspectives, providing detailed examples of real-world logistics workflows. It explores the key concepts and problem-solving techniques required by researchers and logistics professionals to effectively manage the continued expansion of logistics transportation systems, which is expected to reach an estimated 25 billion tons in the United States alone by 2045. This book provides an ample understanding of logistics transportation systems, including basic concepts, in-depth modeling analysis, and network analysis for researchers and practitioners. In addition, it covers policy issues related to transportation logistics, such as security, rules and regulations, and emerging issues including reshoring. This book is an ideal guide for academic researchers and both undergraduate and graduate students in transportation modeling, supply chains, planning, and systems. It is also useful to transportation practitioners involved in planning, feasibility studies, consultation and policy for transportation systems, logistics, and infrastructure. - Provides real-world examples of logistics systems solutions for multiple transportation modes, including seaports, rail, barge, road, pipelines, and airports - Covers a wide range of business aspects, including customer service, cost, and decision analysis - Features key-term definitions, concept overviews, discussions, and analytical problem-solving

Transportation and Power Grid in Smart Cities

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Publisher : John Wiley & Sons
ISBN 13 : 1119360080
Total Pages : 661 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Transportation and Power Grid in Smart Cities by : Hussein T. Mouftah

Download or read book Transportation and Power Grid in Smart Cities written by Hussein T. Mouftah and published by John Wiley & Sons. This book was released on 2018-11-28 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing worldwide trend in population migration into urban centers, we are beginning to see the emergence of the kinds of mega-cities which were once the stuff of science fiction. It is clear to most urban planners and developers that accommodating the needs of the tens of millions of inhabitants of those megalopolises in an orderly and uninterrupted manner will require the seamless integration of and real-time monitoring and response services for public utilities and transportation systems. Part speculative look into the future of the world’s urban centers, part technical blueprint, this visionary book helps lay the groundwork for the communication networks and services on which tomorrow’s “smart cities” will run. Written by a uniquely well-qualified author team, this book provides detailed insights into the technical requirements for the wireless sensor and actuator networks required to make smart cities a reality.

Machine Learning and Knowledge Discovery in Databases

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Author :
Publisher : Springer Nature
ISBN 13 : 3030438236
Total Pages : 688 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Peggy Cellier

Download or read book Machine Learning and Knowledge Discovery in Databases written by Peggy Cellier and published by Springer Nature. This book was released on 2020-03-27 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019. The chapter "Supervised Human-guided Data Exploration" is published open access under a Creative Commons Attribution 4.0 International license (CC BY).

Toward 6G

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Publisher : John Wiley & Sons
ISBN 13 : 1119658039
Total Pages : 240 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Toward 6G by : Martin Maier

Download or read book Toward 6G written by Martin Maier and published by John Wiley & Sons. This book was released on 2020-12-08 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest developments and recent progress on the key technologies enabling next-generation 6G mobile networks Toward 6G: A New Era of Convergence offers an up-to-date guide to the emerging 6G vision by describing new human-centric services made possible by combinations of mobile robots, avatars, and smartphones, which will be increasingly replaced with wearable displays and haptic interfaces that provide immersive extended reality (XR) experiences. The authors—noted experts on the topic—include a review of their work and information on the recent progress on the Tactile Internet and multi-sensory haptic communications. The book highlights decentralized edge computing in particular via Ethereum blockchain technologies, most notably the so-called decentralized autonomous organization (DAO) for crowdsourcing of human skills to solve problems that machines (such as autonomous artificial intelligence agents and robots) alone cannot solve well. The book also contains a review of the most recent and ongoing work on XR (including virtual/augmented/mixed reality). Specifically, the book describes the implications of the transition from the current gadgets-based Internet to a future Internet that is evolving from bearables (such as smartphones), moves towards wearables (for example Amazon's recently launched voice-controlled Echo Loop ring, glasses, and earbuds), and then finally progresses to nearables with embedded computing technologies and intelligent provisioning mechanisms for the delivery of human-intended services, including sixth-sense perceptions, in a 6G post-smartphone era. This important text: Offers a review of the 6G network architectures and key enabling technologies Explains why 6G should not be a mere exploration of more spectrum at high-frequency bands, but rather a convergence of upcoming technological trends Describes the Tactile Internet's human-in-the-loop centric design principles and haptic communications models Includes analytical frameworks to estimate the fluid orchestration of human + machine co-activities across unified communication network infrastructures Explores the performance gains of cooperative computation offloading with communications and computation limitations in both fronthaul and backhaul Written for students, network researchers, professionals, engineers, and practitioners, Toward 6G: A New Era of Convergence explores the most recent advances on the key technologies enabling next-generation 6G mobile networks, with an emphasis on their seamless convergence.

Emerging Technologies for Smart Cities

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Author :
Publisher : Springer Nature
ISBN 13 : 9811615500
Total Pages : 209 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Emerging Technologies for Smart Cities by : Prabin K. Bora

Download or read book Emerging Technologies for Smart Cities written by Prabin K. Bora and published by Springer Nature. This book was released on 2021-06-11 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the select proceedings of the International Conference on Emerging Global Trends in Engineering and Technology (EGTET 2020), held in Guwahati, India. The chapters in this book focus on the latest cleaner, greener, and efficient technologies being developed for the implementation of smart cities across the world. The broader topical sections include Smart Buildings, Infrastructures and Disaster Management; Smart Governance; Technologies for Smart Cities, and Wireless Connectivity for Smart Cities. This book will cater to students, researchers, industry professionals, and policy making bodies interested and involved in the planning and implementation of smart city projects.

Intelligent System Solutions for Auto Mobility and Beyond

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Publisher : Springer Nature
ISBN 13 : 3030658716
Total Pages : 270 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Intelligent System Solutions for Auto Mobility and Beyond by : Carolin Zachäus

Download or read book Intelligent System Solutions for Auto Mobility and Beyond written by Carolin Zachäus and published by Springer Nature. This book was released on 2020-12-10 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers from the 23rd International Forum on Advanced Microsystems for Automotive Applications (AMAA 2020) held online from Berlin, Germany, on May 26-27, 2020. Focusing on intelligent system solutions for auto mobility and beyond, it discusses in detail innovations and technologies enabling electrification, automation and diversification, as well as strategies for a better integration of vehicles into the networks of traffic, data and power. Further, the book addresses other relevant topics, including the role of human factors and safety issues in automated driving, solutions for shared mobility, as well as automated bus transport in rural areas. Implications of current circumstances, such as those generated by climate change, on the future development of auto mobility, are also analysed, providing researchers, practitioners and policy makers with an authoritative snapshot of the state-of-the-art, and a source of inspiration for future developments and collaborations.