Dissertation Abstracts International PDF Download

Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 794

View

Book Description

Author: Chia-Chen Chen
Publisher: Frontiers Media SA
ISBN: 2889769615
Category : Science
Languages : en
Pages : 652

View

Book Description

Author: Feng Tian
Publisher: Springer Nature
ISBN: 3030634264
Category : Computers
Languages : en
Pages : 144

View

Book Description
This book constitutes the revised selected papers of the 33rd International Conference on Computer Animation and Social Agents, CASA 2020, held in Bournemouth, UK*, in October 2020. The 1 full paper and 13 short papers presented were carefully reviewed and selected from a total of 86 submissions. The papers are organized in topical sections of modelling, animation and simulation; virtual reality; image processing and computer vision. *The conference was held virtually due to the COVID-19 pandemic.

Author: Gilson Antonio Giraldi
Publisher: Springer Nature
ISBN: 303142333X
Category : Artificial intelligence
Languages : en
Pages : 173

View

Book Description
This book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods – and at a lower computational cost. This work starts with a brief review of computability theory, aimed to convince the reader – more specifically, researchers of more traditional areas of mathematical modeling – about the power of neural computing in fluid animations. In these initial chapters, fluid modeling through Navier-Stokes equations and numerical methods are also discussed. The following chapters explore the advantages of the neural networks approach and show the building blocks of neural networks for fluid simulation. They cover aspects related to training data, data augmentation, and testing. The volume completes with two case studies, one involving Lagrangian simulation of fluids using convolutional neural networks and the other using Generative Adversarial Networks (GANs) approaches.

Author: Yueting Zhuang
Publisher: Springer Science & Business Media
ISBN: 354073760X
Category : Computers
Languages : en
Pages : 321

View

Book Description
This book discusses the concepts, theory, and core technologies of intelligent theory and human animation, including video based human animation and intelligent technology of motion data management and reusing. It introduces systems developed to demonstrate the technologies of video based animation. Lively pictures and demos throughout the text help make the theory and technologies more accessible to readers.

Author: John Macintyre
Publisher: Springer Nature
ISBN: 3030895114
Category : Computers
Languages : en
Pages : 999

View

Book Description
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Author: Yang Li
Publisher: Springer Nature
ISBN: 3030826813
Category : Computers
Languages : en
Pages : 602

View

Book Description
This edited book explores the many interesting questions that lie at the intersection between AI and HCI. It covers a comprehensive set of perspectives, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously challenging or impossible to address. It starts with addressing classic HCI topics, including human behaviour modeling and input, and then dedicates a section to data and tools, two technical pillars of modern AI methods. These chapters exemplify how state-of-the-art deep learning methods infuse new directions and allow researchers to tackle long standing and newly emerging HCI problems alike. Artificial Intelligence for Human Computer Interaction: A Modern Approach concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation.

Author: Suman Dutta
Publisher: BPB Publications
ISBN: 935551722X
Category : Computers
Languages : en
Pages : 263

View

Book Description
Stay prepared for the next wave of technological innovation with VR and AR KEY FEATURES ● Gain a deep understanding of history, development, and applications in fields of gaming, education, healthcare, and architecture. ● Developing benefits and risks of virtual and extended reality. ● Case studies, examples, and discussions demonstrating how to apply concepts and monetize them in the real world. DESCRIPTION Virtual and extended reality technologies have come a long way since their inception, and today, they are poised to change how we work, learn, and interact with the world. From gaming and entertainment to education, healthcare, and beyond, these technologies have the potential to revolutionize many aspects of our lives. Understand the advancement of VR hardware, then master immersive design principles and analyze the powerful role of AI in XR. Explore the frontiers of VR/AR applications, from revolutionizing healthcare with virtual surgery simulations to bringing history to life with interactive AR experiences. Learn the business landscape of VR/AR, perfect the ethical considerations, and gain a deep understanding of the technical workings behind these incredible technologies. With practical guidance on building VR apps in Unity and monetizing your creations. By the end of the book, readers will have a deep understanding of the potential benefits and risks of these technologies, as well as the knowledge and tools needed to build successful VR and AR applications that are both innovative and ethical. WHAT YOU WILL LEARN ● Understand fundamentals of Immersive technologies like AR, VR, and XR. ● In-depth understanding of the concepts of presence. ● Understand the ethical considerations surrounding VR and AR. ● How VR applications can be built with unity and the scope of monetization. WHO THIS BOOK IS FOR This book is for tech enthusiasts, educators, healthcare professionals, artists, and entrepreneurs alike, offering a captivating journey into the future of immersive technologies. TABLE OF CONTENTS 1. Immersive Technology Promise and Potential 2. The Psychology of Presence in Immersive Technologies 3. Designing Immersive Experience 4. Evolution of VR Hardware 5. The Role of AI in AR, VR, and XR 6. Business Landscape of AR, VR, and XR 7. Applications of AR, VR, and XR in Healthcare 8. Applications of AR, VR, and XR in Education 9. Ethics in Immersive Technologies 10. 3D Modeling and User Interface Design 11. Building VR Applications with Unity 12. Building and Monetizing Successful VR and AR Applications

Author: Javier Del Ser
Publisher: Springer
ISBN: 3319996266
Category : Technology & Engineering
Languages : en
Pages : 451

View

Book Description
This book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm intelligence, multi-agent systems, multi-criteria optimization and Deep/Shallow machine learning models, all of which are approached as technological drivers to enable autonomous reasoning and decision-making in complex distributed environments. Part of the book is also devoted to new scheduling and resource allocation methods for distributed computing systems. The book represents the peer-reviewed proceedings of the 12th International Symposium on Intelligent Distributed Computing (IDC 2018), which was held in Bilbao, Spain, from October 15 to 17, 2018.

Author: Thomas Moeslund
Publisher: MDPI
ISBN: 3039362283
Category : Technology & Engineering
Languages : en
Pages : 300

View

Book Description
This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.