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2019 Spring Simulation Conference (SpringSim)

2019 Spring Simulation Conference (SpringSim)
Author: IEEE Staff
Publisher:
Total Pages:
Release: 2019-04-29
Genre:
ISBN: 9781728135472

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SpringSim 19 is a conference centered on the advancement of the theory, practice and applications of Modeling and Simulation (M & S) The conference is organized in 5 thematic tracks Annual Simulation Symposium (ANSS), which deals with the ethical, philosophical and societal challenges that can M&S can help address Theory and Foundations of Modeling and Simulation (TMS), which focuses on advancing the theoretical foundations of M&S High Performance Computing (HPC), which focuses on the computational challenges and technical aspects of M & S Communications and Networking Simulation (CNS), which focuses on the challenges inherent to the integration of cyber physical and internet of things devices Modeling and Simulation in Medicine (MSM), which focuses on the issues and advances of M & S in the medical and healthcare domain SpringSim 19 also includes tutorials, a student colloquium, and an Industry Track


Advances in Computing, Informatics, Networking and Cybersecurity

Advances in Computing, Informatics, Networking and Cybersecurity
Author: Petros Nicopolitidis
Publisher: Springer Nature
Total Pages: 812
Release: 2022-03-03
Genre: Computers
ISBN: 3030870499

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This book presents new research contributions in the above-mentioned fields. Information and communication technologies (ICT) have an integral role in today’s society. Four major driving pillars in the field are computing, which nowadays enables data processing in unprecedented speeds, informatics, which derives information stemming for processed data to feed relevant applications, networking, which interconnects the various computing infrastructures and cybersecurity for addressing the growing concern for secure and lawful use of the ICT infrastructure and services. Its intended readership covers senior undergraduate and graduate students in Computer Science and Engineering and Electrical Engineering, as well as researchers, scientists, engineers, ICT managers, working in the relevant fields and industries.


Systems Modelling and Management

Systems Modelling and Management
Author: Önder Babur
Publisher: Springer Nature
Total Pages: 197
Release: 2020-10-16
Genre: Computers
ISBN: 3030581675

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This book constitutes the refereed proceedings of the First International Conference on Systems Modelling and Management, ICSMM 2020, planned to be held in Bergen, Norway, in June 2020. Due to the COVID-19 pandemic the conference did not take place physically or virtually. The 10 full papers and 3 short papers were thoroughly reviewed and selected from 19 qualified submissions. The papers are organized according to the following topical sections: verification and validation; applications; methods, techniques and tools.


20. ASIM Fachtagung Simulation in Produktion und Logistik

20. ASIM Fachtagung Simulation in Produktion und Logistik
Author: Sören Feldkamp, Niclas Souren, Rainer Straßburger, Steffen Bergmann
Publisher: BoD – Books on Demand
Total Pages: 500
Release: 2023-01-01
Genre: Business & Economics
ISBN: 3863602765

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Die 20. ASIM-Fachtagung "Simulation in Produktion und Logistik", Ilmenau, 13.-15. September 2023, steht unter dem Motto der „Nachhaltigkeit in Produktion und Logistik“. Sie soll Anregungen und Denkanstöße geben und über bereits erfolgreiche Projekte und Neuerungen berichten. Der vorliegende Tagungsband präsentiert neben aktuellen Beiträgen aus der klassischen Simulationsforschung und -anwendung, die z.B. den Digitalen Zwilling thematisieren, auch hochinteressante und einschlägige Beiträge zu Fragen der Abbildung energie- und nachhaltigkeitsbezogener Einflussfaktoren in der Simulation.


Deterministic and Stochastic Approaches in Computer Modeling and Simulation

Deterministic and Stochastic Approaches in Computer Modeling and Simulation
Author: Romansky, Radi Petrov
Publisher: IGI Global
Total Pages: 527
Release: 2023-10-09
Genre: Computers
ISBN: 166848949X

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In the field of computer modeling and simulation, academic scholars face a pressing challenge—how to navigate the complex landscape of both deterministic and stochastic approaches to modeling. This multifaceted arena demands a unified organizational framework, a comprehensive guide that can seamlessly bridge the gap between theory and practical application. Without such a resource, scholars may struggle to harness the full potential of computer modeling, leaving critical questions unanswered and innovative solutions undiscovered. Deterministic and Stochastic Approaches in Computer Modeling and Simulation serves as the definitive solution to the complex problem scholars encounter. By presenting a comprehensive and unified organizational approach, this book empowers academics to conquer the challenges of computer modeling with confidence. It not only provides a classification of modeling methods but also offers a formalized, step-by-step approach to conducting model investigations, starting from defining objectives to analyzing experimental results. For academic scholars seeking a holistic understanding of computer modeling, this book is the ultimate solution. It caters to the diverse needs of scholars by addressing both deterministic and stochastic approaches. Through its structured chapters, it guides readers from the very basics of computer systems investigation to advanced topics like stochastic analytical modeling and statistical modeling.


Body of Knowledge for Modeling and Simulation

Body of Knowledge for Modeling and Simulation
Author: Tuncer Ören
Publisher: Springer Nature
Total Pages: 549
Release: 2023-01-27
Genre: Computers
ISBN: 3031110854

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Commissioned by the Society for Modeling and Simulation International (SCS), this needed, useful new ‘Body of Knowledge’ (BoK) collects and organizes the common understanding of a wide collection of professionals and professional associations. Modeling and simulation (M&S) is a ubiquitous discipline that lays the computational foundation for real and virtual experimentation, clearly stating boundaries—and interactions—of systems, data, and representations. The field is well known, too, for its training support via simulations and simulators. Indeed, with computers increasingly influencing the activities of today’s world, M&S is the third pillar of scientific understanding, taking its place along with theory building and empirical observation. This valuable new handbook provides intellectual support for all disciplines in analysis, design and optimization. It contributes increasingly to the growing number of computational disciplines, addressing the broad variety of contributing as well as supported disciplines and application domains. Further, each of its sections provide numerous references for further information. Highly comprehensive, the BoK represents many viewpoints and facets, captured under such topics as: Mathematical and Systems Theory Foundations Simulation Formalisms and Paradigms Synergies with Systems Engineering and Artificial Intelligence Multidisciplinary Challenges Ethics and Philosophy Historical Perspectives Examining theoretical as well as practical challenges, this unique volume addresses the many facets of M&S for scholars, students, and practitioners. As such, it affords readers from all science, engineering, and arts disciplines a comprehensive and concise representation of concepts, terms, and activities needed to explain the M&S discipline. Tuncer Ören is Professor Emeritus at the University of Ottawa. Bernard Zeigler is Professor Emeritus at the University of Arizona. Andreas Tolk is Chief Scientist at The MITRE Corporation. All three editors are long-time members and Fellows of the Society for Modeling and Simulation International. Under the leadership of three SCS Fellows, Dr. Ören, University of Ottawa, Dr. Zeigler, The University of Arizona, and Dr. Tolk, The MITRE Corporation, more than 50 international scholars from 15 countries provided insights and experience to compile this initial M&S Body of Knowledge.


Computational Mathematics Modeling in Cancer Analysis

Computational Mathematics Modeling in Cancer Analysis
Author: Wenjian Qin
Publisher: Springer Nature
Total Pages: 171
Release: 2022-09-22
Genre: Computers
ISBN: 3031172663

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This book constitutes the proceedings of the First Workshop on Computational Mathematics Modeling in Cancer Analysis (CMMCA2022), held in conjunction with MICCAI 2022, in Singapore in September 2022. Due to the COVID-19 pandemic restrictions, the CMMCA2022 was held virtually. DALI 2022 accepted 15 papers from the 16 submissions that were reviewed. A major focus of CMMCA2022 is to identify new cutting-edge techniques and their applications in cancer data analysis in response to trends and challenges in theoretical, computational and applied aspects of mathematics in cancer data analysis.


Computational Science – ICCS 2021

Computational Science – ICCS 2021
Author: Maciej Paszynski
Publisher: Springer Nature
Total Pages: 722
Release: 2021-06-09
Genre: Computers
ISBN: 3030779807

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The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually.


12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”

12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”
Author: Mohamed Ridda Laouar
Publisher: Springer Nature
Total Pages: 586
Release: 2023-02-04
Genre: Technology & Engineering
ISBN: 3031253442

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The ICISAT’2022 conference provided a forum for research and developments in the field of information systems and advanced technologies and new trends in developing information systems organizational aspects of their development and intelligent aspects of the final product. The aim of the ICIS1T’2022 is to report progress and development of methodologies, technologies, planning and implementation, tools, and standards in information systems, technologies, and sciences. ICISAT’2022 aims at addressing issues related to the intelligent information, data science, and decision support system, from multidisciplinary perspectives and to discuss the research, teaching, and professional practice in the field. The book of ICISAT’2022 includes selected papers from the 12th International Conference on Information Systems and Advanced Technologies “ICISAT’2022”, organized online during August 26–27, 2022. In this book, researchers, professional software, and systems engineers from around the world addressed intelligent information, data science, and decision support system for the conference. The ideas and practical solutions described in the book are the outcome of dedicated research by academics and practitioners aiming to advance theory and practice in this research domain. The list of topics is in all the areas of modern intelligent information systems and technologies such as neural networks, evolutionary computing, adaptive systems, pervasive system, ubiquitous system, E-learning and teaching, knowledge-based paradigms, learning paradigms, intelligent data analysis, intelligent decision making and support system, intelligent network security, web intelligence, deep learning, natural language processing, image processing, general machine learning, and unsupervised learning.