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Computational Health.- Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers.- ViT-SE_Res: A Hybrid Vision Transformer and ResNet50V2 with Squeeze-and-Excitation Block for Cervical Cell Classification.- MedCT: A Clinical Terminology Graph for Generative AI Applications in Healthcare.- A Fractional Computation Based Deep Learning Framework for Silicosis Detection.- Combining XAI and Graph Cuts for Skin-lesion Segmentation.- Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation.- A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma.- Towards Sensitivity Analysis: 3D Venous Modelling in the Lower Limb.- Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning.- Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images.- Explainable Artificial Intelligence for Clinicians Decision Support in Diagnosing Spinal Pathologies.- Predicting Disease Transmission Rates for Hybrid Modeling of Epidemic Outbreaks: Statistical and Machine Learning Approaches.- Lightweight Heterogeneous SEIR Models for Epidemic Surveillance in Russian Cities: Turning Synthetic Populations into Equations.- Is Health Systems Sustainability Measurable? - Operationalizing SDG Targets using SSP-TOPSIS Approach.- Computational Modeling and Artificial Intelligence for Social Systems.- Automatic Detection and Identification of Causal Relationships in Polish Legal Texts.- A Parameter-free Model for the Online Spread of Far-right Messages: Combining Agent-Based Models with Large-Language Models.- Accelerated Approximation of Bellman Equation Solutions: Agent Policy Optimization with a Feedforward Neural Network.- Simulation-based Inference in Agent-based Models using Spatio-temporal Summary Statistics.- Emergent Communication in Merging Artificial Agent Populations.- MAVS: An Ensemble-Based Multi-Agent Framework for Fake News Detection.- Evolutionary Game Selection Leads to Emergent Inequality.- Computational Optimization, Modelling and Simulation.- Enhancing Gaussian Mixture Model Fitting via Equiprobable Binning and Adaptive Differential Evolution.- Asymptotics in Curve Estimation by Modified Cubic Spline and Exponential Parameterization.- Physics Informed Neural Networks for Non Stationary Material Science Problems.- Adaptive Global Modeling using Neural Networks with Deep Ensembles and Space-filling Sequences.- Automated Antenna Design Using Computational Intelligence and Numerical Optimization.- Near-Optimal Mixed Partial Replications versus Uniform Replication.- Hybrid Subgradient and Simulated Annealing Method for Hemivariational Inequalities.- Reduced-Order Modeling of Compressible Flows Using Supervised Dimensionality Reduction.- Exact and Approximate Methods for Solving the Edge-strength Problem.

Computational Science ICCS 2025 Workshops

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    A Paperback by Maciej Paszynski

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      Publisher: Springer
      Publication Date: Publication Date: 31/07/2025
      ISBN13: 9783031975561, 978-3031975561
      ISBN10:
      Also in:
      Computing Mathematical theory of computation

      Description

      Book Synopsis

      Computational Health.- Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers.- ViT-SE_Res: A Hybrid Vision Transformer and ResNet50V2 with Squeeze-and-Excitation Block for Cervical Cell Classification.- MedCT: A Clinical Terminology Graph for Generative AI Applications in Healthcare.- A Fractional Computation Based Deep Learning Framework for Silicosis Detection.- Combining XAI and Graph Cuts for Skin-lesion Segmentation.- Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation.- A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma.- Towards Sensitivity Analysis: 3D Venous Modelling in the Lower Limb.- Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning.- Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images.- Explainable Artificial Intelligence for Clinicians Decision Support in Diagnosing Spinal Pathologies.- Predicting Disease Transmission Rates for Hybrid Modeling of Epidemic Outbreaks: Statistical and Machine Learning Approaches.- Lightweight Heterogeneous SEIR Models for Epidemic Surveillance in Russian Cities: Turning Synthetic Populations into Equations.- Is Health Systems Sustainability Measurable? - Operationalizing SDG Targets using SSP-TOPSIS Approach.- Computational Modeling and Artificial Intelligence for Social Systems.- Automatic Detection and Identification of Causal Relationships in Polish Legal Texts.- A Parameter-free Model for the Online Spread of Far-right Messages: Combining Agent-Based Models with Large-Language Models.- Accelerated Approximation of Bellman Equation Solutions: Agent Policy Optimization with a Feedforward Neural Network.- Simulation-based Inference in Agent-based Models using Spatio-temporal Summary Statistics.- Emergent Communication in Merging Artificial Agent Populations.- MAVS: An Ensemble-Based Multi-Agent Framework for Fake News Detection.- Evolutionary Game Selection Leads to Emergent Inequality.- Computational Optimization, Modelling and Simulation.- Enhancing Gaussian Mixture Model Fitting via Equiprobable Binning and Adaptive Differential Evolution.- Asymptotics in Curve Estimation by Modified Cubic Spline and Exponential Parameterization.- Physics Informed Neural Networks for Non Stationary Material Science Problems.- Adaptive Global Modeling using Neural Networks with Deep Ensembles and Space-filling Sequences.- Automated Antenna Design Using Computational Intelligence and Numerical Optimization.- Near-Optimal Mixed Partial Replications versus Uniform Replication.- Hybrid Subgradient and Simulated Annealing Method for Hemivariational Inequalities.- Reduced-Order Modeling of Compressible Flows Using Supervised Dimensionality Reduction.- Exact and Approximate Methods for Solving the Edge-strength Problem.

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