Computational Science - ICCS 2024 : 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part VI

• Autore: Franco Leonardo
• Pubblicazione: Cham : , : Springer International Publishing AG, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (434 pages)
• Altri autori: de MulatierClélia PaszynskiMaciej KrzhizhanovskayaValeria V DongarraJack J SlootPeter M. A
• Nota di contenuto: Intro -- Preface -- Organization -- Contents - Part VI -- Network Models and Analysis: From Foundations to Artificial Intelligence -- Representation Learning in Multiplex Graphs: Where and How to Fuse Information? -- 1 Introduction -- 2 Related Work -- 3 Information Fusion in Multiplex Graphs -- 3.1 Experimental Setup and Evaluation -- 3.2 Baseline Approaches (no Fusion) -- 3.3 Graph-Level Fusion -- 3.4 Prediction-Level Fusion -- 3.5 GNN-Level Fusion -- 3.6 Embedding-Level Fusion -- 4 Conclusions, Research Gaps and Future Work -- References -- Data Augmentation to Improve Molecular Subtype Prognosis Prediction in Breast Cancer -- 1 Introduction -- 2 Related Works -- 3 Breast Cancer Cohort -- 4 Data Augmentation Methods -- 5 Experiments and Results -- 6 Conclusion and Future Work -- References -- Threshold Optimization in Constructing Comparative Network Models: A Case Study on Enhancing Laparoscopic Surgical Skill Assessment with Edge Betweenness -- 1 Introduction -- 2 Methodology -- 2.1 Needle Passing Task -- 2.2 EMG Data Collection and Pre-processing -- 2.3 NASA-TLX Scores -- 2.4 Nodes and Edges -- 2.5 Edge Betweenness and Modularity for Threshold Selection -- 3 Results -- 3.1 Enrichment Analysis -- 4 Discussion -- 5 Conclusion -- References -- Graph Vertex Embeddings: Distance, Regularization and Community Detection -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Method -- 4.1 Embeddings as Solution to Optimization Problem -- 4.2 Regularized Embeddings -- 4.3 Distance Functions -- 5 Experiments -- 5.1 Datasets -- 5.2 Graph Analysis -- 5.3 Graph Drawing -- 5.4 Community Detection in Graphs -- 6 Conclusions -- References -- A Robust Network Model for Studying Microbiomes in Precision Agriculture Applications -- 1 Introduction -- 2 Methods -- 2.1 Overview of Workflow -- 2.2 Data Description -- 2.3 Biological Feature Grouping. ; 2.4 Co-expression Network Analysis -- 2.5 Characterizing Robust Biological Functions -- 2.6 Comparison of OTUs Pairs Underlying KEGG Modules -- 2.7 Bacterial Functional Enrichment Analysis -- 3 Results and Discussion -- 3.1 A Comparison of Networks in High and Low Biomass Groups -- 3.2 Co-expression Networks Analysis -- 3.3 Characterization of Distinctive KEGG Modules in High and Low Biomass Groups -- 3.4 Comparison of Dynamics of OTUs Pairs Underlying KEGG Modules -- 4 Conclusion -- References -- A Graph-Theory Based fMRI Analysis -- 1 Introduction -- 2 Background -- 2.1 fMRI -- 2.2 Machine Learning -- 2.3 Graph Theory -- 2.4 Network Alignment -- 3 Material and Methods -- 3.1 Dataset Description -- 3.2 Pipeline Description -- 3.3 Proposed Solution -- 4 Results -- 5 Conclusions -- References -- A Pipeline for the Analysis of Multilayer Brain Networks -- 1 Introduction -- 2 Background -- 2.1 Definition of Multilayer Networks -- 2.2 Brain Network Applications -- 3 Materials and Methods -- 3.1 Data Source -- 3.2 Construction and Analysis of Multilayer Networks -- 4 Result and Discussion -- 5 Conclusion -- References -- Numerical Algorithms and Computer Arithmetic for Computational Science -- Modified CORDIC Algorithm for Givens Rotator -- 1 Introduction -- 2 Review of Algorithms and Solutions -- 3 CORDIC Algorithm and Its Modified Version -- 3.1 Realisationation -- 4 Measurements -- 5 Conclusion -- References -- Numerical Aspects of Hyperbolic Geometry -- 1 Introduction -- 2 Hyperbolic Geometry and Representations -- 3 Representation Variants -- 4 Tessellations -- 5 Tests -- 6 Experimental Results -- 7 Comparison Based on Non-numerical Advantages -- 8 Conclusions -- References -- A Numerical Feed-Forward Scheme for the Augmented Kalman Filter -- 1 Introduction -- 2 Problem Settings and Kalman Filter Estimation of the Forcing Term. ; 3 A Feed-Forward Strategy for the Augmented Kalman Filter -- 3.1 Modeling the Feed-Forward Action -- 3.2 Feed-Forward Reference Extraction -- 3.3 Tuning the Feed-Forward Gain GFF -- 3.4 Regularization Issues -- 4 Numerical Experiments -- 4.1 Inadequacy of the KF Proportional Action with a Diffusive Gain -- 4.2 The Effect of Regularization and Block-Diagonal Reference Extraction -- 5 Discussion and Conclusions -- References -- Calculation of the Sigmoid Activation Function in FPGA Using Rational Fractions -- 1 Introduction -- 2 Artificial Neural Nets and Data Representations -- 3 Rational Fractions and Calculation of the Sigmoid Activation Function -- 3.1 Rational Fractions -- 3.2 Rational Fractions in Processors -- 3.3 Calculation of the Sigmoid Function -- 4 Experimental Results -- 5 Conclusion -- References -- Parallel Vectorized Algorithms for Computing Trigonometric Sums Using AVX-512 Extensions -- 1 Introduction -- 2 Goertzel and Reinsch Algorithms -- 3 Divide-and-conquer Approach -- 3.1 Goertzel Algorithm -- 3.2 Reinsch Algorithm -- 4 Implementation of the Algorithms -- 5 Results of Experiments -- 6 Conclusions and Future Works -- References -- File I/O Cache Performance of Supercomputer Fugaku Using an Out-of-Core Direct Numerical Simulation Code of Turbulence -- 1 Introduction -- 2 Out-of-Core Direct Numerical Simulation Code -- 2.1 Direct Numerical Simulation Code Implementation -- 2.2 Out-of-Core Implementation Concept -- 3 Fugaku Architecture -- 4 Evaluation of Compute Node (CN)-Cache Performance -- 4.1 Performance Evaluation of the I/O Cache with IOR -- 4.2 Performance Evaluation of the I/O Cache with a Simple Program Similar to the Ooc-DNS Code -- 4.3 Performance Evaluation of I/O Cache with the Ooc-DNS Code -- 4.4 Execution of Ooc-DNS Code with 8,1923 Grid Points -- 5 Conclusions -- References. ; A Novel Computational Approach for Wind-Driven Flows over Deformable Topography -- 1 Introduction -- 2 Governing Equations for Wind-Driven Flows over Deformable Topography -- 3 Hybrid Finite Element/Finite Volume Solver -- 3.1 Coupling Conditions at the Interface -- 4 Computational Results -- 4.1 Accuracy Results -- 4.2 Wind-Driven Circulation Flow by Pipe Failure in the Topography -- 5 Conclusions -- References -- Unleashing the Potential of Mixed Precision in AI-Accelerated CFD Simulation on Intel CPU/GPU Architectures -- 1 Introduction -- 2 Related Work -- 3 Floating-Point Data Formats and Mixed Precision in AI-Accelerated CFD Simulation -- 4 Intel CPU and GPU Architectures in Deep Learning Mixed-Precision Computation -- 5 AI-Accelerated CFD Simulation -- 5.1 CFD Simulation of Steady Flow Around a Motorcycle and Rider -- 5.2 Integration of AI Acceleration with CFD Solver -- 5.3 Training Dataset -- 6 Experimental Results -- 6.1 Testing Platforms -- 6.2 Accuracy and Performance Results -- 7 Conclusion -- References -- Quantum Computing -- The Significance of the Quantum Volume for Other Algorithms: A Case Study for Quantum Amplitude Estimation -- 1 Introduction -- 1.1 Quantum Volume -- 1.2 QAE as a Numerical Integration Technique -- 1.3 Related Work -- 1.4 Our Contributions -- 2 Preliminaries -- 2.1 The Noise Model -- 2.2 QAE Without Noise -- 2.3 QAE on Noisy Processors -- 2.4 Dummy QAE Circuits -- 2.5 Fisher Information -- 2.6 A Monte Carlo Example -- 3 Results -- 3.1 Success in a Quantum Volume Experiment -- 3.2 Results for the Error Model -- 3.3 Speed of the QPU -- 3.4 Estimations for the Size of Circuits -- 4 Application of the Noise Model to QAE -- 4.1 General Functions -- 4.2 Shallow Functions -- 5 Conclusions -- References -- KetGPT - Dataset Augmentation of Quantum Circuits Using Transformers -- 1 Introduction. ; 2 Evolution and Structure of Transformers -- 2.1 Tokenizer -- 2.2 Feed-Forward Neural Network -- 2.3 Self-attention -- 3 KetGPT - Transformers for Quantum Circuit Generation -- 3.1 Input Dataset and Data Preprocessing -- 3.2 Generator: Architecture and Tokenizer -- 3.3 Verification Method: KetGPT Classifier -- 3.4 Implementation Details -- 4 Results and Discussion -- 4.1 Manual Inspection -- 4.2 Classifier-Based Evaluation -- 4.3 Analysis Based on Circuit Structure -- 5 Conclusion and Outlook -- 6 Software Availability -- References -- Design Considerations for Denoising Quantum Time Series Autoencoder -- 1 Introduction -- 2 QuTSAE Design -- 2.1 Design Choices for QuTSAE Architecture -- 2.2 Design Choices for QuTSAE Input Encoding -- 2.3 Design Choices for QuTSAE Output Decoding/Cost Function -- 2.4 Design Choices for QuTSAE Encoder/Decoder Ansatze -- 3 Experiments -- 3.1 Determining the Optimum Ansatz Size -- 3.2 Impact of Latent Space on Performance -- 3.3 Time Series Denoising -- 4 Conclusions -- References -- Optimizing Quantum Circuits Using Algebraic Expressions -- 1 Introduction -- 2 Proposed Approach -- 3 Representing Quantum Circuits as Algebraic Expressions -- 4 Optimizing the Algebraic Expressions -- 5 Results -- 6 Conclusion -- References -- Implementing 3-SAT Gadgets for Quantum Annealers with Random Instances -- 1 Introduction -- 2 Fundamental Concepts -- 2.1 The 3-SAT and Max-3-SAT Problems -- 2.2 The QUBO Problem and Its Equivalence in Ising Models -- 2.3 Quantum Annealing -- 3 Related Work -- 3.1 Nuesslein2n+m -- 3.2 Nuessleinn+m -- 4 New Approaches -- 4.1 CJ1n+m -- 4.2 CJ2n+m -- 5 Experimental Results -- 6 Conclusion and Future Work -- A Number of Physical Qubits Required per Gadget -- References -- Quantum Annealers Chain Strengths: A Simple Heuristic to Set Them All -- 1 Introduction. ; 2 Quantum Annealing and Minor Embedding Methods.
• Titolo autorizzato: Computational Science – ICCS 2024
• ISBN: 9783031637780
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910869163103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science Series