| TÃtulo : |
21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI |
| Tipo de documento: |
documento electrónico |
| Autores: |
Paszynski, Maciej, ; Kranzlmüller, Dieter, ; Krzhizhanovskaya, Valeria V., ; Dongarra, Jack J., ; Sloot, Peter M. A., |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XIX, 714 p. 58 ilustraciones |
| ISBN/ISSN/DL: |
978-3-030-77980-1 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Ciencias de la Computación Informática IngenierÃa Informática Red de computadoras Inteligencia artificial TeorÃa de la Computación Matemáticas de la Computación IngenierÃa Informática y Redes |
| Ãndice Dewey: |
40.151 |
| Resumen: |
El conjunto de seis volúmenes LNCS 12742, 12743, 12744, 12745, 12746 y 12747 constituye las actas de la 21.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2021, celebrada en Cracovia, Polonia, en junio de 2021.* El total de 260 artÃculos completos y 57 artÃculos breves presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 635 presentaciones. Se aceptaron 48 artÃculos completos y 14 breves en la sección principal de 156 presentaciones; Se aceptaron 212 artÃculos completos y 43 breves para los talleres/vÃas temáticas de 479 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa principal de ICCS Parte II: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Inteligencia Artificial y Computación de Alto Rendimiento para Simulaciones Avanzadas; DesafÃos biomédicos y bioinformáticos para la informática Parte III: Aprendizaje del clasificador a partir de datos difÃciles; Análisis Computacional de Sistemas Sociales Complejos; Inteligencia Colectiva Computacional; Salud computacional Parte IV: Métodos computacionales para problemas emergentes en el análisis de (des)información; Métodos Computacionales en Agricultura Inteligente; Optimización, Modelado y Simulación Computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes Parte V: Gráficos por Computadora, Procesamiento de Imágenes e Inteligencia Artificial; Ciencias Computacionales Basadas en Datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos MeshFree y funciones de base radial en ciencias computacionales; Modelado y Simulación Multiescala Parte VI: Taller de Computación Cuántica; Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; IngenierÃa de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbre; Enseñanza de Ciencias Computacionales; Cuantificación de la incertidumbre para modelos computacionales *La conferencia se realizó de manera virtual. |
| Nota de contenido: |
Quantum Computing Workshop -- Implementing Quantum Finite Automata Algorithms on Noisy Devices -- OnCall Operator Scheduling for Satellites with Grover's Algorithm -- Multimodal Container Planning: a QUBO Formulation and Implementation on a Quantum Annealer -- Portfolio Optimisation Using the D-Wave Quantum Annealer -- Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing -- Classification using a two-qubit quantum chip -- Performance Analysis of Support Vector Machine Implementations on the D-Wave Quantum Annealer -- Adiabatic Quantum Feature Selection for Sparse Linear Regression -- EntDetector: entanglement detecting toolbox for bipartite quantum states -- On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies -- Quantum Asymmetric Encryption Based on Quantum Point Obfuscation -- Index calculus method for solving elliptic curve discrete logarithm problem using quantum annealing -- Simulations of Flow and Transport: Modeling, Algorithms and Computation -- Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification -- A three-level linearized time integration scheme for tumor simulations with Cahn-Hilliard equations -- Poroelasticity Modules for DarcyLite -- Mathematical Modeling of the Single-Phase Multicomponent Flow in Porous Media -- An enhanced finite element algorithm for thermal Darcy flows with variable viscosity -- Multilevel adaptive Lagrange-Galerkin methods for unsteady incompressible viscous flows -- Numerical investigation of transport processes in porous media under laminar, transitional and turbulent flow conditions with the lattice-Boltzmann method -- A Study on a Marine Reservoir and a Fluvial Reservoir History Matching Based on Ensemble Kalman Filter -- Numerical Simulation of Free Surface Affected by Submarine with a Rotating Screw Moving Underwater -- Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts -- Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning -- Improving UWB Indoor Localization Accuracy Using Sparse Fingerprinting and Transfer Learning -- Effective Car Collision Detection with Mobile Phone Only -- Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation -- Warm-Start Meta-Ensembles for Forecasting Energy Consumption in Service Buildings -- Supporting the process of sewer pipes inspection using machine learning on embedded devices -- Explanation-driven model stacking -- Software Engineering for Computational Science -- I/O Associations in Scientific Software: A Study of SWMM -- Understanding Equity, Diversity and Inclusivity Challenges Within the Research Software Community -- Solving Problems with Uncertainty -- The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model -- Predicting Soccer Results through Sentiment Analysis: A Graph Theory Approach -- Advantages of interval modification of NURBS curves in modeling uncertain boundary shape in boundary value problems -- Introducing Uncertainty Into Explanaible AI Methods -- New rank-reversal free approach to handle interval data in MCDA problems -- Vector and triangular representations of project estimation uncertainty: effect of gender on usability -- The use of type-2 fuzzy sets to assess delays in the implementation of the daily operation plan for the operating theatre -- Linguistic Summaries using Interval-valued Fuzzy Representation of Imprecise Information - an Innovative Tool for Detecting Outliers -- Combining heterogeneous indicators by adopting Adaptive MCDA: dealing with Uncertainty -- Solutions and Challenges in Computing FBSDEs with Large Jumps for Dam and Reservoir System Operation -- Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty -- A comparison of the Richardson extrapolation and the approximation error estimation on the ensemble of numerical solutions -- Predicted Distribution Density Estimation for Streaming Data -- LSTM processing of experimental time series with varied quality -- Sampling method for the robust single machine scheduling with uncertain parameters -- Teaching Computational Science -- Biophysical Modeling of Excitable Cells - a new Approach to Undergraduate Computational Biology Curriculum Development -- Increasing the impact of teacher presence in online lectures -- Model-based approach to automated provisioning of collaborative educational services -- A collaborative peer review process for grading coding assignments in coursework -- How Do Teams of Novice Modelers Choose An Approach? An Iterated, Repeated Experiment In A First-Year Modeling Course -- Uncertainty Quantification for Computational Models -- Detection of conditional dependence between multiple variables using multiinformation.-Uncertainty Quantification of Coupled 1D Arterial Blood Flow and 3D Tissue Perfusion Models Using the INSIST Framework -- Second Order Moments of Multivariate Hermite Polynomials. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI [documento electrónico] / Paszynski, Maciej, ; Kranzlmüller, Dieter, ; Krzhizhanovskaya, Valeria V., ; Dongarra, Jack J., ; Sloot, Peter M. A., . - 1 ed. . - [s.l.] : Springer, 2021 . - XIX, 714 p. 58 ilustraciones. ISBN : 978-3-030-77980-1 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Ciencias de la Computación Informática IngenierÃa Informática Red de computadoras Inteligencia artificial TeorÃa de la Computación Matemáticas de la Computación IngenierÃa Informática y Redes |
| Ãndice Dewey: |
40.151 |
| Resumen: |
El conjunto de seis volúmenes LNCS 12742, 12743, 12744, 12745, 12746 y 12747 constituye las actas de la 21.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2021, celebrada en Cracovia, Polonia, en junio de 2021.* El total de 260 artÃculos completos y 57 artÃculos breves presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 635 presentaciones. Se aceptaron 48 artÃculos completos y 14 breves en la sección principal de 156 presentaciones; Se aceptaron 212 artÃculos completos y 43 breves para los talleres/vÃas temáticas de 479 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa principal de ICCS Parte II: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Inteligencia Artificial y Computación de Alto Rendimiento para Simulaciones Avanzadas; DesafÃos biomédicos y bioinformáticos para la informática Parte III: Aprendizaje del clasificador a partir de datos difÃciles; Análisis Computacional de Sistemas Sociales Complejos; Inteligencia Colectiva Computacional; Salud computacional Parte IV: Métodos computacionales para problemas emergentes en el análisis de (des)información; Métodos Computacionales en Agricultura Inteligente; Optimización, Modelado y Simulación Computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes Parte V: Gráficos por Computadora, Procesamiento de Imágenes e Inteligencia Artificial; Ciencias Computacionales Basadas en Datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos MeshFree y funciones de base radial en ciencias computacionales; Modelado y Simulación Multiescala Parte VI: Taller de Computación Cuántica; Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; IngenierÃa de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbre; Enseñanza de Ciencias Computacionales; Cuantificación de la incertidumbre para modelos computacionales *La conferencia se realizó de manera virtual. |
| Nota de contenido: |
Quantum Computing Workshop -- Implementing Quantum Finite Automata Algorithms on Noisy Devices -- OnCall Operator Scheduling for Satellites with Grover's Algorithm -- Multimodal Container Planning: a QUBO Formulation and Implementation on a Quantum Annealer -- Portfolio Optimisation Using the D-Wave Quantum Annealer -- Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing -- Classification using a two-qubit quantum chip -- Performance Analysis of Support Vector Machine Implementations on the D-Wave Quantum Annealer -- Adiabatic Quantum Feature Selection for Sparse Linear Regression -- EntDetector: entanglement detecting toolbox for bipartite quantum states -- On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies -- Quantum Asymmetric Encryption Based on Quantum Point Obfuscation -- Index calculus method for solving elliptic curve discrete logarithm problem using quantum annealing -- Simulations of Flow and Transport: Modeling, Algorithms and Computation -- Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification -- A three-level linearized time integration scheme for tumor simulations with Cahn-Hilliard equations -- Poroelasticity Modules for DarcyLite -- Mathematical Modeling of the Single-Phase Multicomponent Flow in Porous Media -- An enhanced finite element algorithm for thermal Darcy flows with variable viscosity -- Multilevel adaptive Lagrange-Galerkin methods for unsteady incompressible viscous flows -- Numerical investigation of transport processes in porous media under laminar, transitional and turbulent flow conditions with the lattice-Boltzmann method -- A Study on a Marine Reservoir and a Fluvial Reservoir History Matching Based on Ensemble Kalman Filter -- Numerical Simulation of Free Surface Affected by Submarine with a Rotating Screw Moving Underwater -- Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts -- Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning -- Improving UWB Indoor Localization Accuracy Using Sparse Fingerprinting and Transfer Learning -- Effective Car Collision Detection with Mobile Phone Only -- Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation -- Warm-Start Meta-Ensembles for Forecasting Energy Consumption in Service Buildings -- Supporting the process of sewer pipes inspection using machine learning on embedded devices -- Explanation-driven model stacking -- Software Engineering for Computational Science -- I/O Associations in Scientific Software: A Study of SWMM -- Understanding Equity, Diversity and Inclusivity Challenges Within the Research Software Community -- Solving Problems with Uncertainty -- The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model -- Predicting Soccer Results through Sentiment Analysis: A Graph Theory Approach -- Advantages of interval modification of NURBS curves in modeling uncertain boundary shape in boundary value problems -- Introducing Uncertainty Into Explanaible AI Methods -- New rank-reversal free approach to handle interval data in MCDA problems -- Vector and triangular representations of project estimation uncertainty: effect of gender on usability -- The use of type-2 fuzzy sets to assess delays in the implementation of the daily operation plan for the operating theatre -- Linguistic Summaries using Interval-valued Fuzzy Representation of Imprecise Information - an Innovative Tool for Detecting Outliers -- Combining heterogeneous indicators by adopting Adaptive MCDA: dealing with Uncertainty -- Solutions and Challenges in Computing FBSDEs with Large Jumps for Dam and Reservoir System Operation -- Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty -- A comparison of the Richardson extrapolation and the approximation error estimation on the ensemble of numerical solutions -- Predicted Distribution Density Estimation for Streaming Data -- LSTM processing of experimental time series with varied quality -- Sampling method for the robust single machine scheduling with uncertain parameters -- Teaching Computational Science -- Biophysical Modeling of Excitable Cells - a new Approach to Undergraduate Computational Biology Curriculum Development -- Increasing the impact of teacher presence in online lectures -- Model-based approach to automated provisioning of collaborative educational services -- A collaborative peer review process for grading coding assignments in coursework -- How Do Teams of Novice Modelers Choose An Approach? An Iterated, Repeated Experiment In A First-Year Modeling Course -- Uncertainty Quantification for Computational Models -- Detection of conditional dependence between multiple variables using multiinformation.-Uncertainty Quantification of Coupled 1D Arterial Blood Flow and 3D Tissue Perfusion Models Using the INSIST Framework -- Second Order Moments of Multivariate Hermite Polynomials. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |