Author: Jesko Elsner
Publisher: BoD – Books on Demand
ISBN: 3734767989
Category : Technology & Engineering
Languages : en
Pages : 205
Book Description
In case of medical emergency situations, a Volunteer Notification System aims to alarm potential helpers who can arrive at the victim fast enough to provide cardiopulmonary resuscitation until the professional EMS arrive on scene. A simplistic solution for selecting the corresponding volunteers is described by a so called notification radius, i.e., alarming any volunteer with a geographic location that is within a maximum distance from the victim. Whilst the actual geographical distance is an important parameter to be considered, this work will illustrate that various additional decision parameters are of importance, and elaborate an AI-driven volunteer selection system to increase the reliability and efficiency of occurring notifications.
AI-Driven Volunteer Selection
Author: Jesko Elsner
Publisher: BoD – Books on Demand
ISBN: 3734767989
Category : Technology & Engineering
Languages : en
Pages : 205
Book Description
In case of medical emergency situations, a Volunteer Notification System aims to alarm potential helpers who can arrive at the victim fast enough to provide cardiopulmonary resuscitation until the professional EMS arrive on scene. A simplistic solution for selecting the corresponding volunteers is described by a so called notification radius, i.e., alarming any volunteer with a geographic location that is within a maximum distance from the victim. Whilst the actual geographical distance is an important parameter to be considered, this work will illustrate that various additional decision parameters are of importance, and elaborate an AI-driven volunteer selection system to increase the reliability and efficiency of occurring notifications.
Publisher: BoD – Books on Demand
ISBN: 3734767989
Category : Technology & Engineering
Languages : en
Pages : 205
Book Description
In case of medical emergency situations, a Volunteer Notification System aims to alarm potential helpers who can arrive at the victim fast enough to provide cardiopulmonary resuscitation until the professional EMS arrive on scene. A simplistic solution for selecting the corresponding volunteers is described by a so called notification radius, i.e., alarming any volunteer with a geographic location that is within a maximum distance from the victim. Whilst the actual geographical distance is an important parameter to be considered, this work will illustrate that various additional decision parameters are of importance, and elaborate an AI-driven volunteer selection system to increase the reliability and efficiency of occurring notifications.
Connectivity Prediction in Mobile Ad Hoc Networks for Real-Time Control
Author: Sebastian Thelen
Publisher: BoD – Books on Demand
ISBN: 3738640045
Category : Computers
Languages : en
Pages : 226
Book Description
Cyber-physical systems are the next step in realizing the centuries old ubiquitous computing idea by focusing on open real-time systems design and device connectivity. Mobile ad hoc networks offer the flexible, local connectivity that cyber-physical systems require, if the connectivity can be realized dependably. One aspect of the dependability is the prediction of connectivity in the mobile ad hoc network. The presented research contributes to the connectivity prediction in mobile ad hoc networks with moving network participants in two ways: It systematically analyses the influence of scenario parameters on a set of connectivity metrics and it proposes and evaluates three classes of prediction models for these metrics.
Publisher: BoD – Books on Demand
ISBN: 3738640045
Category : Computers
Languages : en
Pages : 226
Book Description
Cyber-physical systems are the next step in realizing the centuries old ubiquitous computing idea by focusing on open real-time systems design and device connectivity. Mobile ad hoc networks offer the flexible, local connectivity that cyber-physical systems require, if the connectivity can be realized dependably. One aspect of the dependability is the prediction of connectivity in the mobile ad hoc network. The presented research contributes to the connectivity prediction in mobile ad hoc networks with moving network participants in two ways: It systematically analyses the influence of scenario parameters on a set of connectivity metrics and it proposes and evaluates three classes of prediction models for these metrics.
Automation, Communication and Cybernetics in Science and Engineering 2013/2014
Author: Sabina Jeschke
Publisher: Springer
ISBN: 3319088165
Category : Computers
Languages : en
Pages : 918
Book Description
This book continues the tradition of its predecessors “Automation, Communication and Cybernetics in Science and Engineering 2009/2010 and 2011/2012” and includes a representative selection of scientific publications from researchers at the institute cluster IMA/ZLW & IfU. IMA - Institute of Information Management in Mechanical Engineering ZLW - Center for Learning and Knowledge Management IfU - Associated Institute for Management Cybernetics e.V. Faculty of Mechanical Engineering, RWTH Aachen University The book presents a range of innovative fields of application, including: cognitive systems, cyber-physical production systems, robotics, automation technology, machine learning, natural language processing, data mining, predictive data analytics, visual analytics, innovation and diversity management, demographic models, virtual and remote laboratories, virtual and augmented realities, multimedia learning environments, organizational development and management cybernetics. The contributions selected reflect the fundamental paradigm shift toward an increasingly interdisciplinary research world – which has always been both the basis and spirit of the institute cluster IMA/ZLW & IfU.
Publisher: Springer
ISBN: 3319088165
Category : Computers
Languages : en
Pages : 918
Book Description
This book continues the tradition of its predecessors “Automation, Communication and Cybernetics in Science and Engineering 2009/2010 and 2011/2012” and includes a representative selection of scientific publications from researchers at the institute cluster IMA/ZLW & IfU. IMA - Institute of Information Management in Mechanical Engineering ZLW - Center for Learning and Knowledge Management IfU - Associated Institute for Management Cybernetics e.V. Faculty of Mechanical Engineering, RWTH Aachen University The book presents a range of innovative fields of application, including: cognitive systems, cyber-physical production systems, robotics, automation technology, machine learning, natural language processing, data mining, predictive data analytics, visual analytics, innovation and diversity management, demographic models, virtual and remote laboratories, virtual and augmented realities, multimedia learning environments, organizational development and management cybernetics. The contributions selected reflect the fundamental paradigm shift toward an increasingly interdisciplinary research world – which has always been both the basis and spirit of the institute cluster IMA/ZLW & IfU.
Advanced Topics in Artificial Intelligence
Author: John K. Slaney
Publisher: Springer Science & Business Media
ISBN: 9783540651383
Category : Computers
Languages : en
Pages : 358
Book Description
This book constitutes the refereed proceedings of the 10th Australian Joint Conference on Artificial Intelligence, AI'97, held in Perth, Australia, in November/December 1997. The volume presents 48 revised full papers selected from a total of 143 submissions. Also included are three keynote talks and one invited paper. The book is divided into topical sections on constraint satisfaction and scheduling, computer vision, distributed AI, evolutionary computing, knowledge-based systems, knowledge representation and reasoning, learning and machine vision, machine learning, NLP and user modeling, neural networks, robotics and machine recognition, and temporal qualitative reasoning.
Publisher: Springer Science & Business Media
ISBN: 9783540651383
Category : Computers
Languages : en
Pages : 358
Book Description
This book constitutes the refereed proceedings of the 10th Australian Joint Conference on Artificial Intelligence, AI'97, held in Perth, Australia, in November/December 1997. The volume presents 48 revised full papers selected from a total of 143 submissions. Also included are three keynote talks and one invited paper. The book is divided into topical sections on constraint satisfaction and scheduling, computer vision, distributed AI, evolutionary computing, knowledge-based systems, knowledge representation and reasoning, learning and machine vision, machine learning, NLP and user modeling, neural networks, robotics and machine recognition, and temporal qualitative reasoning.
Artificial Intelligence and Evaluation
Author: Steffen Bohni Nielsen
Publisher: Taylor & Francis
ISBN: 1040128513
Category : Political Science
Languages : en
Pages : 330
Book Description
Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation is a groundbreaking exploration of how the landscape of program evaluation will be redefined by artificial intelligence and other emerging digital technologies. In an era where digital technologies and artificial intelligence (AI) are rapidly evolving, this book presents a pivotal resource for evaluators navigating the transformative intersection of their practice and cutting-edge technology. Addressing the dual dimensions of how evaluations are conducted and what is evaluated, a roster of distinguished contributors illuminate the impact of AI on program evaluation methodologies. Offering a discerning overview of various digital technologies, their promises and perils, they carefully dissect the implications for evaluative processes and debate how evaluators must be equipped with the requisite skills to harness the full potential of AI tools. Further, the book includes a number of compelling use cases, demonstrating the tangible applications of AI in diverse evaluation scenarios. The use cases range from the application of GIS data to advanced text analytics. As such, this book provides evaluators with inspirational cases on how to apply AI in their practice as well as what pitfalls one must look out for. Artificial Intelligence and Evaluation is an indispensable guide for evaluators seeking to not only adapt to but thrive in the dynamic landscape of evaluation practices reshaped by the advent of artificial intelligence.
Publisher: Taylor & Francis
ISBN: 1040128513
Category : Political Science
Languages : en
Pages : 330
Book Description
Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation is a groundbreaking exploration of how the landscape of program evaluation will be redefined by artificial intelligence and other emerging digital technologies. In an era where digital technologies and artificial intelligence (AI) are rapidly evolving, this book presents a pivotal resource for evaluators navigating the transformative intersection of their practice and cutting-edge technology. Addressing the dual dimensions of how evaluations are conducted and what is evaluated, a roster of distinguished contributors illuminate the impact of AI on program evaluation methodologies. Offering a discerning overview of various digital technologies, their promises and perils, they carefully dissect the implications for evaluative processes and debate how evaluators must be equipped with the requisite skills to harness the full potential of AI tools. Further, the book includes a number of compelling use cases, demonstrating the tangible applications of AI in diverse evaluation scenarios. The use cases range from the application of GIS data to advanced text analytics. As such, this book provides evaluators with inspirational cases on how to apply AI in their practice as well as what pitfalls one must look out for. Artificial Intelligence and Evaluation is an indispensable guide for evaluators seeking to not only adapt to but thrive in the dynamic landscape of evaluation practices reshaped by the advent of artificial intelligence.
Green AI-Powered Intelligent Systems for Disease Prognosis
Author: Khanna, Ashish
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 418
Book Description
Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage.
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 418
Book Description
Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage.
Automation, Communication and Cybernetics in Science and Engineering 2015/2016
Author: Sabina Jeschke
Publisher: Springer
ISBN: 3319426206
Category : Computers
Languages : en
Pages : 975
Book Description
Publisher: Springer
ISBN: 3319426206
Category : Computers
Languages : en
Pages : 975
Book Description
Data-Driven Business Intelligence Systems for Socio-Technical Organizations
Author: Keikhosrokiani, Pantea
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 514
Book Description
The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 514
Book Description
The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.
Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
Author: Nebojša Radojević
Publisher: Springer Nature
ISBN: 9464630108
Category : Business & Economics
Languages : en
Pages : 1259
Book Description
This is an open access book.With the continuous upgrading of network information technology, especially the combination of information technology such as Internet - cloud computing - blockchain - Internet of Things and in social and economic activities, through artificial intelligence, Internet and big data with high quality and fast processing efficiency improvement, economic form from industrial economy to information economy. This will greatly reduce social transaction costs, improve the efficiency of resource optimization, increase the added value of products, enterprises and industries, and promote the rapid development of social productivity. The 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022) will focus on the latest research on "Artificial Intelligence, Internet and Digital Economy", which brings together experts, scholars, researchers and related practitioners from around the world to share research results, discuss hot issues, and provide attendees with cutting-edge technology information to keep them abreast of industry developments, the latest technologies, and broaden their research horizons.
Publisher: Springer Nature
ISBN: 9464630108
Category : Business & Economics
Languages : en
Pages : 1259
Book Description
This is an open access book.With the continuous upgrading of network information technology, especially the combination of information technology such as Internet - cloud computing - blockchain - Internet of Things and in social and economic activities, through artificial intelligence, Internet and big data with high quality and fast processing efficiency improvement, economic form from industrial economy to information economy. This will greatly reduce social transaction costs, improve the efficiency of resource optimization, increase the added value of products, enterprises and industries, and promote the rapid development of social productivity. The 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022) will focus on the latest research on "Artificial Intelligence, Internet and Digital Economy", which brings together experts, scholars, researchers and related practitioners from around the world to share research results, discuss hot issues, and provide attendees with cutting-edge technology information to keep them abreast of industry developments, the latest technologies, and broaden their research horizons.
Logic-Based Program Synthesis and Transformation
Author: Moreno Falaschi
Publisher: Springer
ISBN: 3319274368
Category : Computers
Languages : en
Pages : 384
Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 25th International Symposium on Logic-Based Program Synthesis and Transformation, LOPSTR 2015, held in Siena, Italy, in July 2015. The 21 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 30 submissions. The aim of the LOPSTR series is to stimulate and promote international research and collaboration on logic-based program development. LOPSTR is open to contributions in all aspects of logic-based program development, all stages of the software life cycle, and issues of both programming-in-the-small and programming-in-the-large.
Publisher: Springer
ISBN: 3319274368
Category : Computers
Languages : en
Pages : 384
Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 25th International Symposium on Logic-Based Program Synthesis and Transformation, LOPSTR 2015, held in Siena, Italy, in July 2015. The 21 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 30 submissions. The aim of the LOPSTR series is to stimulate and promote international research and collaboration on logic-based program development. LOPSTR is open to contributions in all aspects of logic-based program development, all stages of the software life cycle, and issues of both programming-in-the-small and programming-in-the-large.