Aixia 2020 - Advances in Artificial Intelligence: Xixth International Conference of the Italian Association for Artificial Intelligence, Virtual Event, Baldoni Matteo, Bandini Stefania
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
Описание: With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company.
Автор: Bohr, Adam Название: Artificial Intelligence In Healthcare ISBN: 0128184388 ISBN-13(EAN): 9780128184387 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Artificial Intelligence in Healthcare Data is more than a comprehensive introduction to artificial intelligence and machine learning. The book is split into two sections with an introduction to current healthcare data challenges that is followed by specific applications and case studies. The editors explore how AI is used as a tool in the analysis of healthcare data, specifically focusing on machine learning, deep learning, natural language processing. data privacy, cybersecurity and the ethics. Other sections explore how AI tools can help to interrogate data across a range of healthcare applications, including AI driven wearables and sensors and AI assisted surgery.
This book will be useful for researchers, graduate students and practitioners in computer science, data science, bioinformatics, health informatics, biomedical engineering and clinical engineering.
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy.
In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering.
This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source.
Автор: Millington Название: Artificial Intelligence for Games,Third Edition ISBN: 1138483974 ISBN-13(EAN): 9781138483972 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial Intelligence is an integral part of every video game. This book helps propfessionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date infortmation they need to jumpstart their careers.
Автор: Millington, Ian, Funge, John Название: Artificial Intelligence for Games ISBN: 0123747317 ISBN-13(EAN): 9780123747310 Издательство: Taylor&Francis Рейтинг: Цена: 10870.00 р. Наличие на складе: Поставка под заказ.
Описание: Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques.<br><br>"Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). <br><br>* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.<br>* Walks through the entire development process from beginning to end.<br>* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.
Описание: This book constitutes the post-conference proceedings of the Second EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2020, held in December 2020. AI in Ubiquitous Mobile Wireless Communications; AI in UAV-assisted wireless communications;
Описание: 3D Point Cloud Upsampling and Colorization using GAN.- Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes.- An Open-World Novelty Generator for Authoring Reinforcement Learning Environment of Standardized Toolkits.- Book Cover and Content Similarity Retrieval using Computer Vision and NLP Techniques.- Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuvers.- Feature Group Importance for Automated Essay Scoring.- Feature Extraction Efficient for Face Verification Based on Residual Network Architecture.- Acquiring Input Features from Stock Market Summaries: A NLG Perspective.- A Comparative of A New Hybrid based on Neural Networks and SARIMA Models for Time Series Forecasting.- Cartpole Problem with PDL and GP using Multi-Objective Fitness Functions Differing in A Priori Knowledge.- Learning Robot Arm Controls using Augmented Random Search in Simulated Environments.- An Analytical Evaluation of a Deep Learning Model to Detect Network Intrusion.- Application of Machine Learning Techniques to Predict Breast Cancer Survival.- Thai Handwritten Recognition on BEST2019 Datasets using Deep Learning.- Comparing of Multi-class Text Classification Methods for Automatic Ratings of Consumer Reviews.- Designing An Algorithm for Scheduling Tasks for Multiagent Systems.
Описание: This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, held as a virtual event, in June 2021. The 28 full papers presented together with 30 short papers were selected from 138 submissions. The papers are grouped in topical sections on image analysis;
Описание: The selected papers cover a wide range of topics, including machine learning, pattern recognition, natural language processing, knowledge representation, cognitive aspects of AI, ethics of AI, and other important aspects of AI research.
Two Algorithms for Additive and Fair Division of Mixed Manna.- Dynamic Play via Suit Factorization Search in Skat.- Dynamic Channel and Layer Gating in Convolutional Neural Network.- Contour-based Segmentation of Historical Printings.- Hybrid Ranking and Regression for Algorithm Selection.- Conditional Reasoning and Relevance.- HTN Plan Repair via Model Transformation.- Nonmonotonic Inferences with Qualitative Conditionals Based on Preferred Structures on Worlds.- Positive Free Higher-Order Logic and its Automation via a Semantical Embedding.- Low-Rank Subspace Override for Unsupervised Domain Adaptation.- Expressive Explanations of DNNs by Combining Concept Analysis with ILP.- Stable Resolving - A Randomized Local Search Heuristic for MaxSAT.- A Virtual Caregiver for Assisted Daily Living of Pre-Frail Users.- Exploring the Effects of Role Design on Agent Learning.- Descriptor Revision for Conditionals: Literal Descriptors and Conditional Preservation.- Multi-Agent Path Finding Modulo Theory with Continuous Movements and the Sum of Costs Objective.- Meta-Induction, Probability Aggregation, and Optimal Scoring.- Cones, Negation, and All That.- Swarm-based Cluster Analysis for Knowledge Discovery.- Draw with Me: Human-in-the-Loop for Image Restoration.- Reasonable Machines: A Research Manifesto.- A Heuristic Agent in Multi-Agent Path Finding Under Destination Uncertainty.- Earnings Prediction with Deep Leaning.- Integrating Keywords into BERT4Rec for Sequential Recommendation.- Modelling and Reasoning in Biomedical Applications with Qualitative Conditional Logic.- Conformal Rule-Based Multi-label Classification.- Optimizing Constraint Satisfaction Problems by Regularization for the Sample Case of the Warehouse Location Problem.- Fast Pathfinding in Knowledge Graphs Using Word Embeddings.- A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net.- Evaluation of Deep Learning Accelerators for Object Detection at the Edge.-Learning Choice Functions via Pareto-Embeddings.- Simulation-Based Validation of Robot Commands for Force-based Robot Motions.- Firefighter Virtual Reality Simulation for Personalized Stress Detection.- The AI Domain Definition Language (AIDDL) for Integrated Systems.
Описание: This book constitutes the refereed proceedings of the 10th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2021, held as part of Evo* 2021, as Virtual Event, in April 2021, co-located with the Evo* 2021 events, EvoCOP, EvoApplications, and EuroGP.
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