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Systems Modeling and Simulation: Theory and Applications
This book constitutes the refereed post-proceedings of the third Asian Simulation Conference, AsiaSim 2004, held in Jeju Island, Korea in October 2004. The 78 revised full papers presented together with 2 invited keynote papers were carefully reviewed and selected from 178 submissions; after the conference, the papers went through another round of revision. The papers are organized in topical sections on modeling and simulation methodology, manufacturing, aerospace simulation, military simulation, medical simulation, general applications, network simulation and modeling, e-business simulation, numerical simulation, traffic simulation, transportation, virtual reality, engineering applications, and DEVS modeling and simulation.
Computational Intelligence and Security
The two volume set LNAI 3801 and LNAI 3802 constitute the refereed proceedings of the annual International Conference on Computational Intelligence and Security, CIS 2005, held in Xi'an, China, in December 2005. The 338 revised papers presented - 254 regular and 84 extended papers - were carefully reviewed and selected from over 1800 submissions. The first volume is organized in topical sections on learning and fuzzy systems, evolutionary computation, intelligent agents and systems, intelligent information retrieval, support vector machines, swarm intelligence, data mining, pattern recognition, and applications. The second volume is subdivided in topical sections on cryptography and coding, cryptographic protocols, intrusion detection, security models and architecture, security management, watermarking and information hiding, web and network applications, image and signal processing, and applications.
Algorithmic Learning Theory
This book constitutes the refereed proceedings of the 13th International Conference on Algorithmic Learning Theory, ALT 2002, held in Lübeck, Germany in November 2002. The 26 revised full papers presented together with 5 invited contributions and an introduction were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on learning Boolean functions, boosting and margin-based learning, learning with queries, learning and information extraction, inductive inference, inductive logic programming, language learning, statistical learning, and applications and heuristics.
Neural Computation
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Emerging Technologies and Future of Work
Proceedings of the AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2023 Hawaii Edition), Honolulu, Hawaii, USA 4-6, December 2023
Advances in Safety Management and Human Performance
This book provides readers with a timely snapshot of research and developments relating to human reliability, performance and safety analysis, and human error, risk and safety management in various industrial contexts, such as manufacturing, transportation and health. It combines a diverse range of disciplines, including work physiology, health informatics, safety engineering, workplace design, injury prevention, and occupational psychology, and presents new strategies for safety management, accident prevention at the workplace, performance testing and participatory ergonomics. It discusses issues related to automation, and strategies for a safer Human-Automation Interaction. Based on the proceedings of the AHFE 2021 International Conferences on Safety Management and Human Factors, and Human Error, Reliability, Resilience, and Performance, which were held virtually on July 25-29, 2021, from USA, the book offers an extensive and inspiring guide for both researchers and practitioners dealing with the topics of safety management, human error prevention, and integration of automation in the workplace.
The Social Science of the COVID-19 Pandemic
The Social Science of the COVID-19 Pandemic: A Call to Action for Researchers draws on theories derived from the social sciences to address the multitude of questions raised by the COVID-19 pandemic and to inspire a future generation of researchers. The book is designed to help promote recovery from the pandemic, to minimize the negative effects of similar events in the future, and to inform social science research going forward.
Taking Stock of Industrial Ecology
How can we design more sustainable industrial and urban systems that reduce environmental impacts while supporting a high quality of life for everyone? What progress has been made towards reducing resource use and waste, and what are the prospects for more resilient, material-efficient economies? What are the environmental and social impacts of global supply chains and how can they be measured and improved? Such questions are at the heart of the emerging discipline of industrial ecology, covered in Taking Stock of Industrial Ecology. Leading authors, researchers and practitioners review how far industrial ecology has developed and current issues and concerns, with illustrations of what the industrial ecology paradigm has achieved in public policy, corporate strategy and industrial practice. It provides an introduction for students coming to industrial ecology and for professionals who wish to understand what industrial ecology can offer, a reference for researchers and practitioners and a source of case studies for teachers.
