الصفحة 1
الصفحة 1
Modeling and Retrieval of Context ; 2nd International Workshop, MRC 2005, Edinburgh, UK, July 31-August 1, 2005, Revised Selected Papers
Computing in context has become a necessity in modern and intelligent IT - plications. With the use of mobile devices and current research on ubiquitous computing, context-awareness has become a major issue. However, context and context-awareness are crucial not only for mobile and ubiquitous computing. They are also vital for spanning various application areas, such as collaborative softwareand Web engineering,personaldigital assistantsand peer-to-peer inf- mation sharing, health care work?ow and patient control, and adaptive games and e-learning solutions. In these areas, context serves as a major source for reasoning, decision making, and adaptation, as it covers not only application knowledge but also environmental knowledge.Likewise, modeling and retrieving context is an important part of modern knowledge management processes.
IoT and AI Technologies for Sustainable Living : A Practical Handbook
Brings together all the latest methodologies, tools and techniques related to the Internet of Things and Artificial Intelligence in a single volume to build insight into their use in sustainable living. The areas of application include agriculture, smart farming, healthcare, bioinformatics, self-diagnosis systems, body sensor networks, multimedia mining, and multimedia in forensics and security. Provides a comprehensive discussion of modeling and implementation in water resource optimization, recognizing pest patterns, traffic scheduling, web mining, cyber security and cyber forensics. It will help develop an understanding of the need for AI and IoT to have a sustainable era of human living. The tools covered include genetic algorithms, cloud computing, water resource management, web mining, machine learning, block chaining, learning algorithms, sentimental analysis and Natural Language Processing (NLP).
Intelligent robotics and applications ; 1st International Conference, ICIRA 2008, Wuhan, China, October 15-17, 2008, Proceedings, Part I
These two volumes constitute the refereed proceedings of the First International Conference on Intelligent Robotics and Applications, ICIRA 2008, held in Wuhan, China, in October 2008.The 265 revised full papers presented were thoroughly reviewed and selected from 552 submissions; they are devoted but not limited to robot motion planning and manipulation; robot control; cognitive robotics; rehabilitation robotics; health care and artificial limb; robot learning; robot vision; human-machine interaction & coordination; mobile robotics.
Intelligent robotics and applications ; 1st International Conference, ICIRA 2008 Wuhan, China, October 15-17, 2008 Proceedings, Part II
This two volumes constitute the refereed proceedings of the First International Conference on Intelligent Robotics and Applications, ICIRA 2008, held in Wuhan, China, in October 2008.The 265 revised full papers presented were thoroughly reviewed and selected from 552 submissions; they are devoted but not limited to robot motion planning and manipulation; robot control; cognitive robotics; rehabilitation robotics; health care and artificial limb; robot learning; robot vision; human-machine interaction & coordination; mobile robotics.
Intelligent Interactive multimedia systems for e-healthcare applications
It looks at how the latest technologies (artificial intelligence, deep learning, machine learning, big data, IoT, smart device, etc.) help to manage health data, diagnose health issues, monitor treatment, predict pandemic diseases, and more. It covers several important applications of multimedia in healthcare, including for data visualization purposes, for computer vision for elder healthcare monitoring, for detection of lung nodules, for health monitoring and management systems using machine learning techniques, and for fusion applications in medical image processing. The book goes into detail on the various methods and techniques for supporting multimedia systems for e-healthcare.
Health information systems : Technological and management perspectives
Details a variety of scenarios in the context of both health and heath care, including where prevention and wellness are related, such as the treatment of both acute and chronic diseases. Stakeholder requirements are also described to provide perspectives for describing the architectures and management techniques associated with health information systems, enabling the reader to develop a detailed holistic overview of the subject. Health Information Systems: Technological and Management Perspectives features a detailed overview of how information systems in health care can be managed and is a vital resource for medical informatics students seeking an up-to-date text on the topic.
HCI and usability for medicine and health care ; 3rd Symposium of the Workgroup Human-computer interaction and usability engineering of the Austrian Computer Society, USAB 2007 Graz, Austria, November, 22, 2007, Proceedings
The work group Human–Computer Interaction & Usability Engineering (HCI&UE) of the Austrian Computer Society (OCG) serves as a platform for interdisciplinary exchange, research and development. Our 2007 topic was “Human–Computer Interaction for Medicine and Health Care” (HCI4MED), Medical information systems are already extremely sophisticated and technological performance increases exponentially.
Groupware : Design, Implementation, and Use ; 14th International Workshop, CRIWG 2008, Omaha, NE, USA, September 14-18, 2008, Revised Selected Papers
This book constitutes the refereed post-conference proceedings of the 14th International Workshop on Groupware: Design, Implementation, and Use, held in Omaha, Nebraska, USA, during September 14-18, 2008.The 30 papers presented were carefully reviewed and selected from numerous submission. The topics covered are groupware solutions, co-located groups, groupware for health care, collaborative systems development, collaborative emergency response, groupware approaches, patterns of collaboration.
Fundamentals and Methods of Machine and Deep Learning : Algorithms, Tools, and Applications
provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. In recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field.
Exploring Resilience : A Scientific Journey from Practice to Theory
Resilience has become an important topic on the safety research agenda and in organizational practice. Most empirical work on resilience has been descriptive, identifying characteristics of work and organizing activity which allow organizations to cope with unexpected situations. Fewer studies have developed testable models and theories that can be used to support interventions aiming to increase resilience and improve safety. In addition, the absent integration of different system levels from individuals, teams, organizations, regulatory bodies, and policy level in theory and practice imply that mechanisms through which resilience is linked across complex systems are not yet well understood. Scientific efforts have been made to develop constructs and models that present relationships; however, these cannot be characterized as sufficient for theory building. There is a need for taking a broader look at resilience practices as a foundation for developing a theoretical framework that can help improve safety in complex systems.
Ergonomics and Health Aspects of Work with Computers ; International Conference, EHAWC 2007, Held as Part of HCI International 2007, Beijing, China, July 22-27, Proceedings
This book address the latest research and development efforts and highlight the human aspects of design and use of computing systems. It cover the entire field of Human-Computer Interaction, addressing major - vances in knowledge and effective use of computers in a variety of application areas. This volume contains thematic area of Ergonomics and Health Aspects of Work with Computers, addressing the following major topics:Health and Well Being in the Working Environment, Ergonomics and Design
Digital twin technology : fundamentals and applications
Provides an in-depth examination of digital twin technology to take you on an enthralling trip across the intersection of the virtual and real worlds. It explores the transformational impact of digital twins, from their roots in engineering to their widespread applications in manufacturing, health care, and other areas. Real-world case studies highlight the practical benefits, while potential hazards are addressed wisely. This book is your guide to comprehending the present and visualizing a future where digital twins transform innovation, efficiency, and connectedness in our increasingly complicated world. Begin this illuminating trip and embrace the possibilities that exist at the intersection of the physical and digital worlds.
Data science in theory and practice : Techniques for big data analytics and complex data sets
Delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Written in five parts, the book examines some of the most commonly used and fundamental mathematical and statistical concepts that form the basis of data science. The authors go on to analyze various data transformation techniques useful for extracting information from raw data, long memory behavior, and predictive modeling. Readers will also learn from topics like: Analyses of foundational theoretical subjects, including the history of data science, matrix algebra and random vectors, and multivariate analysis A comprehensive examination of time series forecasting, including the different components of time series and transformations to achieve stationarity Introductions to both the R and Python programming languages, including basic data types and sample manipulations for both languages An exploration of algorithms, including how to write one and how to perform an asymptotic analysis A comprehensive discussion of several techniques for analyzing and predicting complex data sets
Covid-19 tracking application with user helping features
The era of mobile technology opens the windows to the mobile apps. The websites are vanishing and the mobile phones are emerging. In light of the development of applications on mobile and their widespread spread, especially Service (SOA) ones. It’s the time to change from conventional websites to apps, which has become the part of our daily routine. We are introducing “Covid 19 Tracker” “Covid 19 Tracker” is an interactive App used to assist the Ministry of Health to provide protection and health care for citizens and residents referred to domestic isolation or quarantine; to ensure their safety and enhance their recovery procedures.
Cooperative Design, Visualization, and Engineering ; 17th International Conference, CDVE 2020, Bangkok, Thailand, October 25–28, 2020, Proceedings
This book constitutes the proceedings of the 17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020, held in Bangkok, Thailand, in October 2020.* The 33 full papers and 7 short papers presented were carefully reviewed and selected from 74 submissions. The achievement, progress and future challenges are reported in areas such as health care, industrial design, banking IT systems, cultural activities support, operational maritime cybersecurity assurance, emotion communication, and social network data analytics.
Clinical text mining : Secondary use of electronic patient records
Describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters.
Machine learning approach for cloud data analytics in IoT
Covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications. Elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.
Knowledge Management for Health Care Procedures ; From Knowledge to Global Care, AIME 2007 Workshop K4CARE 2007, Amsterdam, The Netherlands, July 7, 2007, Revised Selected Papers
The incursion of information and communication technologies (ICT) in health care entails evident bene?ts at the levels of security and efciency that improve not only the quality of life of the patients, but also the quality of the work of the health care professionals and the costs of national health care systems. Leaving research approaches aside, the analysis of ICT in health care shows an evo- tion from the initial interest in representing and storing health care data (i. e. , electronic health care records) to the current interest of having remote access to electronic health care systems, as for example HL7 initiatives or telemedicine. This sometimes imperceptible evolution can be interpreted as a new step of the progress path of health care informatics.
Challenges and Solutions for Sustainable Smart City Development
Discusses advances in smart and sustainable development of smart environments. The authors discuss the challenges faced in developing sustainable smart applications and provide potential solutions. The solutions are aimed at improving reliability and security with the goal of affordability, safety, and durability. Topics include health care applications, sustainable smart transportation systems, intelligent sustainable wearable electronics, and sustainable smart building and alert systems. Authors are from both industry and academia and present research from around the world. Addresses problems and solutions for sustainable development of smart cities; Includes applications such as healthcare, transportation, wearables, security, and more ; Relevant for scientist and researchers working on real time smart city development.
Behavioral consultation and primary care : A guide to integrating services
Comprehensive, wise, and incredibly practical, this exciting volume walks through the joys and challenges of an entirely new vision of behavioral health consultation in primary care settings. Gently, and with good humor, the authors show how to avoid key errors, and provide a detailed, point by point guideline for success in an effective and needed new form of practice. You will forever think differently about the proper role of behavioral health providers in health care delivery. Even better, you will be prepared to do something about it. -- Steven C. Hayes, University of Nevada The Primary Care Behavioral Health (PCBH) model is fast emerging as the future of integration between mental health and primary care services.
