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Book SynopsisAdvances 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.
