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Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part V (Paperback, 1st ed. 2019)
Joao M. F. Rodrigues, Pedro J.S. Cardoso, Janio Monteiro, Roberto Lamberts, Valeria V. Krzhizhanovskaya, …
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R3,382
Discovery Miles 33 820
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Ships in 10 - 15 working days
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The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540
constitutes the proceedings of the 19th International Conference on
Computational Science, ICCS 2019, held in Faro, Portugal, in June
2019. The total of 65 full papers and 168 workshop papers presented
in this book set were carefully reviewed and selected from 573
submissions (228 submissions to the main track and 345 submissions
to the workshops). The papers were organized in topical sections
named: Part I: ICCS Main Track Part II: ICCS Main Track; 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 Matrix
Methods in Artificial Intelligence and Machine Learning; Track of
Architecture, Languages, Compilation and Hardware Support for
Emerging and Heterogeneous Systems Part III: Track of Biomedical
and Bioinformatics Challenges for Computer Science; Track of
Classifier Learning from Difficult Data; Track of Computational
Finance and Business Intelligence; Track of Computational
Optimization, Modelling and Simulation; Track of Computational
Science in IoT and Smart Systems Part IV: Track of Data-Driven
Computational Sciences; Track of Machine Learning and Data
Assimilation for Dynamical Systems; Track of Marine Computing in
the Interconnected World for the Benefit of the Society; Track of
Multiscale Modelling and Simulation; Track of Simulations of Flow
and Transport: Modeling, Algorithms and Computation Part V: Track
of Smart Systems: Computer Vision, Sensor Networks and Machine
Learning; Track of Solving Problems with Uncertainties; Track of
Teaching Computational Science; Poster Track ICCS 2019 Chapter
"Comparing Domain-decomposition Methods for the Parallelization of
Distributed Land Surface Models" is available open access under a
Creative Commons Attribution 4.0 International License via
link.springer.com.
|
Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part I (Paperback, 1st ed. 2019)
Joao M. F. Rodrigues, Pedro J.S. Cardoso, Janio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, …
|
R2,824
Discovery Miles 28 240
|
Ships in 10 - 15 working days
|
The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540
constitutes the proceedings of the 19th International Conference on
Computational Science, ICCS 2019, held in Faro, Portugal, in June
2019.The total of 65 full papers and 168 workshop papers presented
in this book set were carefully reviewed and selected from 573
submissions (228 submissions to the main track and 345 submissions
to the workshops). The papers were organized in topical sections
named: Part I: ICCS Main Track Part II: ICCS Main Track; 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 Matrix
Methods in Artificial Intelligence and Machine Learning; Track of
Architecture, Languages, Compilation and Hardware Support for
Emerging and Heterogeneous Systems Part III: Track of Biomedical
and Bioinformatics Challenges for Computer Science; Track of
Classifier Learning from Difficult Data; Track of Computational
Finance and Business Intelligence; Track of Computational
Optimization, Modelling and Simulation; Track of Computational
Science in IoT and Smart Systems Part IV: Track of Data-Driven
Computational Sciences; Track of Machine Learning and Data
Assimilation for Dynamical Systems; Track of Marine Computing in
the Interconnected World for the Benefit of the Society; Track of
Multiscale Modelling and Simulation; Track of Simulations of Flow
and Transport: Modeling, Algorithms and Computation Part V: Track
of Smart Systems: Computer Vision, Sensor Networks and Machine
Learning; Track of Solving Problems with Uncertainties; Track of
Teaching Computational Science; Poster Track ICCS 2019 Chapter
"Comparing Domain-decomposition Methods for the Parallelization of
Distributed Land Surface Models" is available open access under a
Creative Commons Attribution 4.0 International License via
link.springer.com.
|
Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part III (Paperback, 1st ed. 2019)
Joao M. F. Rodrigues, Pedro J.S. Cardoso, Janio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, …
|
R3,101
Discovery Miles 31 010
|
Ships in 10 - 15 working days
|
The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540
constitutes the proceedings of the 19th International Conference on
Computational Science, ICCS 2019, held in Faro, Portugal, in June
2019.The total of 65 full papers and 168 workshop papers presented
in this book set were carefully reviewed and selected from 573
submissions (228 submissions to the main track and 345 submissions
to the workshops). The papers were organized in topical sections
named: Part I: ICCS Main Track Part II: ICCS Main Track; 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 Matrix
Methods in Artificial Intelligence and Machine Learning; Track of
Architecture, Languages, Compilation and Hardware Support for
Emerging and Heterogeneous Systems Part III: Track of Biomedical
and Bioinformatics Challenges for Computer Science; Track of
Classifier Learning from Difficult Data; Track of Computational
Finance and Business Intelligence; Track of Computational
Optimization, Modelling and Simulation; Track of Computational
Science in IoT and Smart Systems Part IV: Track of Data-Driven
Computational Sciences; Track of Machine Learning and Data
Assimilation for Dynamical Systems; Track of Marine Computing in
the Interconnected World for the Benefit of the Society; Track of
Multiscale Modelling and Simulation; Track of Simulations of Flow
and Transport: Modeling, Algorithms and Computation Part V: Track
of Smart Systems: Computer Vision, Sensor Networks and Machine
Learning; Track of Solving Problems with Uncertainties; Track of
Teaching Computational Science; Poster Track ICCS 2019 Chapter
"Comparing Domain-decomposition Methods for the Parallelization of
Distributed Land Surface Models" is available open access under a
Creative Commons Attribution 4.0 International License via
link.springer.com.
|
Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part II (Paperback, 1st ed. 2019)
Joao M. F. Rodrigues, Pedro J.S. Cardoso, Janio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, …
|
R2,830
Discovery Miles 28 300
|
Ships in 10 - 15 working days
|
The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540
constitutes the proceedings of the 19th International Conference on
Computational Science, ICCS 2019, held in Faro, Portugal, in June
2019.The total of 65 full papers and 168 workshop papers presented
in this book set were carefully reviewed and selected from 573
submissions (228 submissions to the main track and 345 submissions
to the workshops). The papers were organized in topical sections
named: Part I: ICCS Main Track Part II: ICCS Main Track; 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 Matrix
Methods in Artificial Intelligence and Machine Learning; Track of
Architecture, Languages, Compilation and Hardware Support for
Emerging and Heterogeneous Systems Part III: Track of Biomedical
and Bioinformatics Challenges for Computer Science; Track of
Classifier Learning from Difficult Data; Track of Computational
Finance and Business Intelligence; Track of Computational
Optimization, Modelling and Simulation; Track of Computational
Science in IoT and Smart Systems Part IV: Track of Data-Driven
Computational Sciences; Track of Machine Learning and Data
Assimilation for Dynamical Systems; Track of Marine Computing in
the Interconnected World for the Benefit of the Society; Track of
Multiscale Modelling and Simulation; Track of Simulations of Flow
and Transport: Modeling, Algorithms and Computation Part V: Track
of Smart Systems: Computer Vision, Sensor Networks and Machine
Learning; Track of Solving Problems with Uncertainties; Track of
Teaching Computational Science; Poster Track ICCS 2019 Chapter
"Comparing Domain-decomposition Methods for the Parallelization of
Distributed Land Surface Models" is available open access under a
Creative Commons Attribution 4.0 International License via
link.springer.com.
|
Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part IV (Paperback, 1st ed. 2019)
Joao M. F. Rodrigues, Pedro J.S. Cardoso, Janio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, …
|
R2,825
Discovery Miles 28 250
|
Ships in 10 - 15 working days
|
The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540
constitutes the proceedings of the 19th International Conference on
Computational Science, ICCS 2019, held in Faro, Portugal, in June
2019.The total of 65 full papers and 168 workshop papers presented
in this book set were carefully reviewed and selected from 573
submissions (228 submissions to the main track and 345 submissions
to the workshops). The papers were organized in topical sections
named: Part I: ICCS Main Track Part II: ICCS Main Track; 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 Matrix
Methods in Artificial Intelligence and Machine Learning; Track of
Architecture, Languages, Compilation and Hardware Support for
Emerging and Heterogeneous Systems Part III: Track of Biomedical
and Bioinformatics Challenges for Computer Science; Track of
Classifier Learning from Difficult Data; Track of Computational
Finance and Business Intelligence; Track of Computational
Optimization, Modelling and Simulation; Track of Computational
Science in IoT and Smart Systems Part IV: Track of Data-Driven
Computational Sciences; Track of Machine Learning and Data
Assimilation for Dynamical Systems; Track of Marine Computing in
the Interconnected World for the Benefit of the Society; Track of
Multiscale Modelling and Simulation; Track of Simulations of Flow
and Transport: Modeling, Algorithms and Computation Part V: Track
of Smart Systems: Computer Vision, Sensor Networks and Machine
Learning; Track of Solving Problems with Uncertainties; Track of
Teaching Computational Science; Poster Track ICCS 2019 Chapter
"Comparing Domain-decomposition Methods for the Parallelization of
Distributed Land Surface Models" is available open access under a
Creative Commons Attribution 4.0 International License via
link.springer.com.
Smart systems when connected to artificial intelligence (AI) are
still closely associated with some popular misconceptions that
cause the general public to either have unrealistic fears about AI
or to expect too much about how it will change our workplace and
life in general. It is important to show that such fears are
unfounded, and that new trends, technologies, and smart systems
will be able to improve the way we live, benefiting society without
replacing humans in their core activities. Smart Systems Design,
Applications, and Challenges provides emerging research that
presents state-of-the-art technologies and available systems in the
domains of smart systems and AI and explains solutions from an
augmented intelligence perspective, showing that these technologies
can be used to benefit, instead of replace, humans by augmenting
the information and actions of their daily lives. The book
addresses all smart systems that incorporate functions of sensing,
actuation, and control in order to describe and analyze a situation
and make decisions based on the available data in a predictive or
adaptive manner. Highlighting a broad range of topics such as
business intelligence, cloud computing, and autonomous vehicles,
this book is ideally designed for engineers, investigators, IT
professionals, researchers, developers, data analysts, professors,
and students.
Smart systems when connected to artificial intelligence (AI) are
still closely associated with some popular misconceptions that
cause the general public to either have unrealistic fears about AI
or to expect too much about how it will change our workplace and
life in general. It is important to show that such fears are
unfounded, and that new trends, technologies, and smart systems
will be able to improve the way we live, benefiting society without
replacing humans in their core activities. Smart Systems Design,
Applications, and Challenges provides emerging research that
presents state-of-the-art technologies and available systems in the
domains of smart systems and AI and explains solutions from an
augmented intelligence perspective, showing that these technologies
can be used to benefit, instead of replace, humans by augmenting
the information and actions of their daily lives. The book
addresses all smart systems that incorporate functions of sensing,
actuation, and control in order to describe and analyze a situation
and make decisions based on the available data in a predictive or
adaptive manner. Highlighting a broad range of topics such as
business intelligence, cloud computing, and autonomous vehicles,
this book is ideally designed for engineers, investigators, IT
professionals, researchers, developers, data analysts, professors,
and students.
As innovators continue to explore and create new developments
within the fields of artificial intelligence and computer science,
subfields such as machine learning and the internet of things (IoT)
have emerged. Now, the internet of everything (IoE), foreseen as a
cohesive and intelligent connection of people, processes, data, and
things, is theorized to make internet connections more valuable by
converting information into wise actions that create unprecedented
capabilities, richer experiences, and economic opportunities to all
players in the market. Harnessing the Internet of Everything (IoE)
for Accelerated Innovation Opportunities discusses the theoretical,
design, evaluation, implementation, and use of innovative
technologies within the fields of IoE, machine learning, and IoT.
Featuring research on topics such as low-power electronics, mobile
technology, and artificial intelligence, this book is ideally
designed for computer engineers, software developers,
investigators, advanced-level students, professors, and
professionals seeking coverage on the various contemporary
theories, technologies, and tools in IoE engineering.
As innovators continue to explore and create new developments
within the fields of artificial intelligence and computer science,
subfields such as machine learning and the internet of things (IoT)
have emerged. Now, the internet of everything (IoE), foreseen as a
cohesive and intelligent connection of people, processes, data, and
things, is theorized to make internet connections more valuable by
converting information into wise actions that create unprecedented
capabilities, richer experiences, and economic opportunities to all
players in the market. Harnessing the Internet of Everything (IoE)
for Accelerated Innovation Opportunities discusses the theoretical,
design, evaluation, implementation, and use of innovative
technologies within the fields of IoE, machine learning, and IoT.
Featuring research on topics such as low-power electronics, mobile
technology, and artificial intelligence, this book is ideally
designed for computer engineers, software developers,
investigators, advanced-level students, professors, and
professionals seeking coverage on the various contemporary
theories, technologies, and tools in IoE engineering.
Human Computer Interaction (HCI) is easy to define yet difficult to
predict. Encompassing the management, study, planning, and design
of the ways in which users interact with computers, this field has
evolved from using punch cards to force touch in a matter of
decades. What was once considered science fiction is now
ubiquitous. The future of HCI is mercurial, yet predictions point
to the effortless use of high-functioning services. The Handbook of
Research on Human-Computer Interfaces, Developments, and
Applications is primarily concerned with emerging research
regarding gesture interaction, augmented reality, and assistive
technologies and their place within HCI. From gaming to
rehabilitation systems, these new technologies share the need to
interface with humans, and as computers become thoroughly
integrated into everyday life, so does the necessity of HCI
research. This handbook of research benefits the research needs of
programmers, developers, students and educators in computer
science, and researchers.
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