Yongjie Jessica Zhang – författare

Cutting-Edge Techniques to Better Analyze and Predict Complex Physical PhenomenaGeometric Modeling and Mesh Generation from Scanned Images shows how to integrate image processing, geometric modeling, and mesh generation with the finite element method (FEM) to solve problems in computational biology, medicine, materials science, and engineering. Based on the author’s recent research and course at Carnegie Mellon University, the text explains the fundamentals of medical imaging, image processing, computational geometry, mesh generation, visualization, and finite element analysis. It also explores novel and advanced applications in computational biology, medicine, materials science, and other engineering areas.One of the first to cover this emerging interdisciplinary field, the book addresses biomedical/material imaging, image processing, geometric modeling and visualization, FEM, and biomedical and engineering applications. It introduces image-mesh-simulation pipelines, reviews numerical methods used in various modules of the pipelines, and discusses several scanning techniques, including ones to probe polycrystalline materials.The book next presents the fundamentals of geometric modeling and computer graphics, geometric objects and transformations, and curves and surfaces as well as two isocontouring methods: marching cubes and dual contouring. It then describes various triangular/tetrahedral and quadrilateral/hexahedral mesh generation techniques. The book also discusses volumetric T-spline modeling for isogeometric analysis (IGA) and introduces some new developments of FEM in recent years with applications.

Cutting-Edge Techniques to Better Analyze and Predict Complex Physical PhenomenaGeometric Modeling and Mesh Generation from Scanned Images shows how to integrate image processing, geometric modeling, and mesh generation with the finite element method (FEM) to solve problems in computational biology, medicine, materials science, and engineering. Based on the author’s recent research and course at Carnegie Mellon University, the text explains the fundamentals of medical imaging, image processing, computational geometry, mesh generation, visualization, and finite element analysis. It also explores novel and advanced applications in computational biology, medicine, materials science, and other engineering areas.One of the first to cover this emerging interdisciplinary field, the book addresses biomedical/material imaging, image processing, geometric modeling and visualization, FEM, and biomedical and engineering applications. It introduces image-mesh-simulation pipelines, reviews numerical methods used in various modules of the pipelines, and discusses several scanning techniques, including ones to probe polycrystalline materials.The book next presents the fundamentals of geometric modeling and computer graphics, geometric objects and transformations, and curves and surfaces as well as two isocontouring methods: marching cubes and dual contouring. It then describes various triangular/tetrahedral and quadrilateral/hexahedral mesh generation techniques. The book also discusses volumetric T-spline modeling for isogeometric analysis (IGA) and introduces some new developments of FEM in recent years with applications.

The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7–9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions.

The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7–9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions.

The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7–9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions.

The 6-volume set constitutes the worshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7–9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions.

The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7–9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions.

The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7–9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions.

The four-volume set constitutes the workshop proceedings of the 26th International Conference on Computational Science, ICCS 2026, which took place in Hamburg, Germany, during June 29 – July 1, 2026.The 133 full papers and 46 short papers presented in these proceedings were carefully reviewed and selected from 353 submissions. The papers are organized in the following topical sections:Volume I:Advances in High-Performance Computational Earth Sciences; Artificial Intelligence and High-Performance Computing forAdvanced Simulations; Artificial Intelligence for Network Analysis in Biology and Beyond; Biomedical and Bioinformatics Challenges for Computer Science; Computational Health; and Computational Methods for Petascale Research.Volume II:Computational Modeling and Artificial Intelligence for Social Systems; Computational Optimization, Modelling and Simulation; Computational Psychology and Mental Health; Computer Vision in the Era of Large Neural Models; Computing and Data Science for Materials Discovery and Design.Volume III:Credible Multiscale Modelling and Simulation; Large Language Models related Intelligent Decision-Making in the Digital Economy Era; Machine Learning and Data Assimilation for Dynamical Systems; Multi-Criteria Decision-Making: Methods, Applications, and Innovations; Navigating Trustworthy and Autonomous Modelling of Complex Systems: AI Meets Computational Science; Numerical Algorithms and Computer Arithmetic for Computational Science.Volume IV:Quantum Computing; Retrieval-Augmented Generation; Simulations of Flow and Transport: Modeling, Algorithms andComputation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Artificial Intelligence; Solving Problems with Uncertainties; Teaching Computational Science.

The four-volume set constitutes the workshop proceedings of the 26th International Conference on Computational Science, ICCS 2026, which took place in Hamburg, Germany, during June 29 – July 1, 2026.The 133 full papers and 46 short papers presented in these proceedings were carefully reviewed and selected from 353 submissions. The papers are organized in the following topical sections:Volume I:Advances in High-Performance Computational Earth Sciences; Artificial Intelligence and High-Performance Computing forAdvanced Simulations; Artificial Intelligence for Network Analysis in Biology and Beyond; Biomedical and Bioinformatics Challenges for Computer Science; Computational Health; and Computational Methods for Petascale Research.Volume II:Computational Modeling and Artificial Intelligence for Social Systems; Computational Optimization, Modelling and Simulation; Computational Psychology and Mental Health; Computer Vision in the Era of Large Neural Models; Computing and Data Science for Materials Discovery and Design.Volume III:Credible Multiscale Modelling and Simulation; Large Language Models related Intelligent Decision-Making in the Digital Economy Era; Machine Learning and Data Assimilation for Dynamical Systems; Multi-Criteria Decision-Making: Methods, Applications, and Innovations; Navigating Trustworthy and Autonomous Modelling of Complex Systems: AI Meets Computational Science; Numerical Algorithms and Computer Arithmetic for Computational Science.Volume IV:Quantum Computing; Retrieval-Augmented Generation; Simulations of Flow and Transport: Modeling, Algorithms andComputation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Artificial Intelligence; Solving Problems with Uncertainties; Teaching Computational Science.

The four-volume set constitutes the workshop proceedings of the 26th International Conference on Computational Science, ICCS 2026, which took place in Hamburg, Germany, during June 29 – July 1, 2026.The 133 full papers and 46 short papers presented in these proceedings were carefully reviewed and selected from 353 submissions. The papers are organized in the following topical sections:Volume I:Advances in High-Performance Computational Earth Sciences; Artificial Intelligence and High-Performance Computing forAdvanced Simulations; Artificial Intelligence for Network Analysis in Biology and Beyond; Biomedical and Bioinformatics Challenges for Computer Science; Computational Health; and Computational Methods for Petascale Research.Volume II:Computational Modeling and Artificial Intelligence for Social Systems; Computational Optimization, Modelling and Simulation; Computational Psychology and Mental Health; Computer Vision in the Era of Large Neural Models; Computing and Data Science for Materials Discovery and Design.Volume III:Credible Multiscale Modelling and Simulation; Large Language Models related Intelligent Decision-Making in the Digital Economy Era; Machine Learning and Data Assimilation for Dynamical Systems; Multi-Criteria Decision-Making: Methods, Applications, and Innovations; Navigating Trustworthy and Autonomous Modelling of Complex Systems: AI Meets Computational Science; Numerical Algorithms and Computer Arithmetic for Computational Science.Volume IV:Quantum Computing; Retrieval-Augmented Generation; Simulations of Flow and Transport: Modeling, Algorithms andComputation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Artificial Intelligence; Solving Problems with Uncertainties; Teaching Computational Science.

The four-volume set constitutes the workshop proceedings of the 26th International Conference on Computational Science, ICCS 2026, which took place in Hamburg, Germany, during June 29 – July 1, 2026.The 133 full papers and 46 short papers presented in these proceedings were carefully reviewed and selected from 353 submissions. The papers are organized in the following topical sections:Volume I:Advances in High-Performance Computational Earth Sciences; Artificial Intelligence and High-Performance Computing forAdvanced Simulations; Artificial Intelligence for Network Analysis in Biology and Beyond; Biomedical and Bioinformatics Challenges for Computer Science; Computational Health; and Computational Methods for Petascale Research.Volume II:Computational Modeling and Artificial Intelligence for Social Systems; Computational Optimization, Modelling and Simulation; Computational Psychology and Mental Health; Computer Vision in the Era of Large Neural Models; Computing and Data Science for Materials Discovery and Design.Volume III:Credible Multiscale Modelling and Simulation; Large Language Models related Intelligent Decision-Making in the Digital Economy Era; Machine Learning and Data Assimilation for Dynamical Systems; Multi-Criteria Decision-Making: Methods, Applications, and Innovations; Navigating Trustworthy and Autonomous Modelling of Complex Systems: AI Meets Computational Science; Numerical Algorithms and Computer Arithmetic for Computational Science.Volume IV:Quantum Computing; Retrieval-Augmented Generation; Simulations of Flow and Transport: Modeling, Algorithms andComputation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Artificial Intelligence; Solving Problems with Uncertainties; Teaching Computational Science.

This book constitutes the refereed proceedings of the 4th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2014, held in Pittsburgh, PA, USA, in September 2014.The 29 revised full papers presented together with 10 short papers and 6 keynote talks were carefully reviewed and selected from 54 submissions. The papers cover the following topics: medical treatment, imaging and analysis; image registration, denoising and feature identification; image segmentation; shape analysis, meshing and graphs; medical image processing and simulations; image recognition, reconstruction and predictive modeling; image-based modeling and simulations; and computer vision and data-driven investigations.

As a new interdisciplinary research area, “image-based geometric modeling and mesh generation” integrates image processing, geometric modeling and mesh generation with finite element method (FEM) to solve problems in computational biomedicine, materials sciences and engineering. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still takes about 80% of the total analysis time and is the major obstacle to reduce the total computation time. It is mainly because none of the traditional approaches is sufficient to effectively construct finite element meshes for arbitrarily complicated domains, and generally a great deal of manual interaction is involved in mesh generation.This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.This contributed volume, the first for such an interdisciplinary topic, collectsthe latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.