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Information Management and Big Data - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Smart Cities - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Green, Pervasive, and Cloud Computing - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Logics in Artificial Intelligence - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Internet of Vehicles. Technologies and Services Toward Smart Cities - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Social Robotics - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Text, Speech, and Dialogue - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Advanced Hybrid Information Processing - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Advanced Hybrid Information Processing - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Model-Driven Engineering and Software Development - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning in Medical Imaging - - Bog - Springer Nature Switzerland AG - Plusbog.dk

A Primer on Machine Learning in Subsurface Geosciences - Shuvajit Bhattacharya - Bog - Springer Nature Switzerland AG - Plusbog.dk

University and School Collaborations during a Pandemic - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Functional Safety and Proof of Compliance - Tor Stalhane - Bog - Springer Nature Switzerland AG - Plusbog.dk

DKK 561.00
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Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: 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 Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

DKK 426.00
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Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: 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 Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

DKK 426.00
1

Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: 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 Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

DKK 426.00
1

Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: 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 Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

DKK 426.00
1

Particle Panic! - Kristine Larsen - Bog - Springer Nature Switzerland AG - Plusbog.dk

Particle Panic! - Kristine Larsen - Bog - Springer Nature Switzerland AG - Plusbog.dk

From novels and short stories to television and film, popular media has made a cottage industry of predicting the end of the world will be caused by particle accelerators. Rather than allay such fears, public pronouncements by particle scientists themselves often unwittingly fan the flames of hysteria. This book surveys media depictions of particle accelerator physics and the perceived dangers these experiments pose. In addition, it describes the role of scientists in propagating such fears and misconceptions, offering as a conclusion ways in which the scientific community could successfully allay such misplaced fears through more effective communication strategies. The book is aimed at the general reader interested in separating fact from fiction in the field of high-energy physics, at science educators and communicators, and, last but not least, at all scientists concerned about these issues. About the Author Kristine M Larsen holds a Ph.D. in Physics and is currently a professor at Central Connecticut State University, New Britain, CT, in the Geological Sciences Department. She has published a number of books, among them The Women Who Popularized Geology in the 19th Century (Springer, 2017), The Mythological Dimensions of Neil Gaiman (eds. Anthony Burdge, Jessica Burke, and Kristine Larsen. Kitsune Press, 2012. Recipient of the Gold Medal for Science Fiction/Fantasy in the 2012 Florida Publishing Association Awards), The Mythological Dimensions of Doctor Who (eds. Anthony Burdge, Jessica Burke, and Kristine Larsen. Kitsune Press, 2010), as well as Stephen Hawking: A Biography (Greenwood Press, 2005) and Cosmology 101 (Greenwood Press, (2007).

DKK 247.00
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Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: 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 Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic. Chapter ''APE: A Command-Line Tool and API for Automated Workflow Composition'' is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

DKK 759.00
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Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Computational Science – ICCS 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Computational Methods in Artificial Intelligence and Machine Learning; Track of Biomedical and Bioinformatics Challenges for Computer Science Part IV: Track of Classifier Learning from Difficult Data; Track of Complex Social Systems through the Lens of Computational Science; Track of Computational Health; Track of Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems; Track of Computer Graphics, Image Processing and Artificial Intelligence Part VI: Track of Data Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Meshfree Methods in Computational Sciences; Track of Multiscale Modelling and Simulation; Track of Quantum Computing Workshop Part VII: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Track of Software Engineering for Computational Science; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Track of UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

DKK 426.00
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