Computational Science and Its Applications – ICCSA 2026: 26th International Conference, Braga, Portugal, June 30 – July 3, 2026, Proceedings, Part I(16767 Lecture Notes in Computer Science)

The 3-volume set, LNCS 16767, 16768, 16769, constitutes the refereed proceedings of the 26th International Conference on Computational Science and Its Applications – ICCSA 2026, held in Braga, Portugal, during June 30–July 3, 2026.

The 119 full papers, 3 short papers, and 2 PHD showcase papers were carefully reviewed and selected from 405 submissions. The papers have been organized in topical sections as follows:

Part 1 : Computational Methods, Algorithms and Scientific Applications; High Performance Computing and
Networks; Geometric Modeling, Graphics and Visualization; Advanced and Emerging Applications;
Part 2 : Information Systems and Technologies; 
Part 3 : Information Systems and Technologies; Urban and Regional Planning; PHD Showcase Papers; Short Papers.

.- Computational Methods, Algorithms and Scientic Applications.
.- Securing Corporate Data Exchange: An E cient Identity-Based Authenticated Signcryption over Elliptic Curves.
.- Algorithmic Complexity Underpins when Path Information Improves Graph Neural Networks Performance on Molecular Graphs.
.- A Systematic Performance Study of Parallel Programming Models for Stencil-Based CFD Applications on Heterogeneous Architectures.
.- Uncertainty Quanti cation of Underwater Sound Propagation Using Surrogate Models.
.- Low-Cost Wearable System for Essential Tremor Monitoring with Passive Damping.
.- Analyzing Internal Sensitivity in Neural Network Representations via Jacobian  Norms and Perturbation Analysis.
.- Numerical Algorithm for the Biermann E ect in ICF Self-Generated Magnetic Fields and Its Applications.
.- Frequency Domain Prediction of NACA 0012 Self-Noise Using Data-Driven Machine Learning.
.- Beyond Endpoint Quality: A Phase-Aware Analysis of Search Dynamics in Triangle Reassembly.
.- Mesh Optimization for the One-Way Helmholtz Equation in an Inhomogeneous Medium.
.- New Metaheuristic Algorithms to Reduce the Bandwidth of Real-world Graphs.
.- Shelf Space Allocation with Rectangular Arrangement: A Comparative Study of Three MILP Formulations.
.- Architecture foundations and deployment scalability for CWMP: a technical review.
.- Less is More: XAI-Driven Feature Selection for E cient Molecular Property Prediction.
.- High Performance Computing and Networks.
.- AMMOF: An Adaptive Multi-Metric Objective Function for Enhanced RPL Routing in Industrial IoT Networks.
.- Design and experimental evaluation of secure overlay networks for Docker microservices architectures.
.- Dynamic Regression Algorithm and Multi-Objective Query Optimization in Spark SQL.
.- Analyzing Optimization trade-o between Energy and Model Convergence in Federated Learning.
.- 2D CNN-Based Link Prediction in Opportunistic Networks.
.- Evaluating AccuracyPerformance Trade-o s in Deep Learning Frameworks for Diabetic Retinopathy Detection.
.- Topology-Aware Distributed Ensemble Learning Using the vCube Hierarchical Hypercube Overlay.
.- Automating the Technical Validation of FHIR Implementation Guides: A Data-Oriented Framework within the HfPT Project.
.- Characterizing Lossless GPU Data Compression Across AMD CDNA and RDNA Architectures.
.- A Systematic Literature Review of Network-on-Chip Architectures: Topologies,Routing, Reliability, and Emerging Technologies.
.- Geometric Modeling, Graphics and Visualization.
.- Adaptive Hyperspectral Image Classi cation Using a CNN-MAOELM Hybrid Architecture.
.- A Re-parameterized Multi-Scale and Global Context Framework for Waste Detection in Vietnamese Street Scenes.
.- LCRO-GAN: A Multi-Stage GAN Framework for Image-Based Reconstruction of Historical Monuments.
.- Run-Time Assurance for Onboard COTS-Based AI in Safety-Critical LEO small-Satellite Systems.
.- Surgical instrument tracking: a lightweight YOLO approach across diverse domains.
.- Deep Learning-Based Crack Detection on Complex Decorative Surfaces of Cultural Heritage Artifacts .
.- StableZero: Improving General Image Generation through Visualisation Feedback.
.- From random to pre-trained ViT backbones for improved feature extraction: application to diagnosis with sensor images.
.- Classi cation of Dynamic Libras Signs Related to the Hospital Context Using Recurrent Neural Networks.
.- A Comparative Study of Prompt Engineering Strategies for Data Visualization Scenarios.
.- Detection of cow face and subregions using a new annotated dataset.
.- Enhanced Architecture for Non-Destructive Leaf Area Estimation based on a Semantic Segmentation Network.
.-  Advanced and Emerging Applications.
.- Beam Forming and Super-Grouping for Seismic Data Enhancement in 5D Domain.
.- Quantile Regression for Soil Organic Carbon: A Distributional Analysis of Soil Variability.
.- Comparative Evaluation of Filter and Wrapper Feature Selection Methods in Species Distribution Modeling.
.- Provision of Financial Security of the State and Ways of Threat Prevention.
.- Bayesian Mo dels to Predict Ab ove Ground-Biomass.