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Ergebnis der Suche nach: "Machine Learning"
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| Link zu diesem Datensatz | https://d-nb.info/1370824149 |
| Art des Inhalts | Konferenzschrift |
| Titel | Computational Science – ICCS 2025 Workshops : 25th International Conference, Singapore, Singapore, July 7–9, 2025, Proceedings, Part I / edited by Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang |
| Person(en) |
Paszyński, Maciej (Herausgeber) Barnard, Amanda (Herausgeber) Zhang, Yongjie Jessica (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XXVI, 450 p. 177 illus., 150 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-97553-0 Printed edition:: ISBN: 978-3-031-97555-4 |
| Inhalt | Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks & Applications -- Large-scale Nonlinear Viscoelastic Simulation for Crustal Deformation Accelerated by Data-driven Method and Multi-grid Solver -- Artificial Intelligence Approaches for Network Analysis -- Informing the Neural Network Activation Function with Graph Centrality Measures: The Case Study of Oscillating Chemical Reaction Simulation -- A Novel Routing Algorithm for Optical Networks Based on ML Methods -- Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection -- Covering the Online Spectrum of Opinion in Social Context: The Benefit of Network Node Sampling Through an Italian Case Study -- A Multilayer and Temporal Network for Studying the Connections of Cross-listed Stocks -- A Machine Learning-based Framework for Predicting Candidate Drug Side Effects from Biological Networks -- Artificial Intelligence and High-Performance Computing for Advanced Simulations -- Introducing B-spline Basis Functions in Neural Network Approximations -- Augmenting Petrov-Galerkin Method with Optimal Test Functions by DNN Learning the Inverse of the Gram Matrix -- EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations -- Influence of Mixed Precision on Performance and Accuracy of DNN Training for AI-Accelerated CFD Simulations on NVIDIA Multi-GPU System -- Performance-energy Investigation of Selected Applications using a Parallel Multi-GPU Genetic Algorithm under Power Capping -- Discrete Residual Loss Functions for Training Physics-Informed Neural Networks -- Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters -- Sequential, Parallel and Consecutive Hybrid Evolutionary-swarm Optimization Metaheuristics -- Graph Grammar Model for h-adaptation for Meshes with Quadrilateral, Pentagon, and Hexagon Elements -- MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems -- Socio-cognitive Agent-oriented Evolutionary Algorithm with Trust-based Optimization -- Structural Limiting Range of Perception in PSO -- Towards Novel Migration Topologies for Parallel Evolutionary Algorithms -- Biomedical and Bioinformatics Challenges for Computer Science -- From the Synaptome to the Connectome: Data Bigness Estimation for the Human Connectome at the Nanoscale -- Enzyme Stability Prediction: Advancing with Ensemble Machine Learning and Explainable Artificial Intelligence -- MTL-FECAM: Bridging the stability-plasticity tradeoff in Exemplar-free Continual Learning -- Development of a pH-Responsive Bio-robotics for Targeted Drug Delivery to Lung Cancer in the Vascular System -- Accelerating Super-Resolution Magnetic Resonance Imaging Using Toeplitz k-Space Matrices and Deep Learning Reconstruction -- Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies -- Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling -- A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections -- Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting -- BioSkel - Towards a Framework for OMICS Applications -- Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy -- Bias in Dermatological Datasets: A Critical Analysis of the Underrepresentation of Dark Skin Tones in Melanoma Classification Images |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2507070405299.447167274145 DOI: 10.1007/978-3-031-97554-7 |
| URL | https://doi.org/10.1007/978-3-031-97554-7 |
| ISBN/Einband/Preis | 978-3-031-97554-7 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15907 |
| Sachgruppe(n) | 370 Erziehung, Schul- und Bildungswesen |
| Online-Zugriff | Archivobjekt öffnen |
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