Buch, Englisch, Band 16768, 705 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1124 g
26th International Conference, Braga, Portugal, June 30-July 3, 2026, Proceedings, Part II
Buch, Englisch, Band 16768, 705 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1124 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-30487-2
Verlag: Springer
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 116 full papers, 3 short papers, and 2 PHD showcase paper 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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
Weitere Infos & Material
.- Information Systems and Technologies.
.- LLM-based Applications for Healthcare: A Systematic Mapping Study.
.- GazeMIL: Attention-Based Multiple Instance Learning for Interpretable Dyslexia Detection from Multi-Task Eye-Tracking Data.
.- Soft Routing-Inspired Specialization for E cient Satellite Image Time Series Segmentation.
.- Ending the War Between Model Selection and Combination: A Cross-validation Approach.
.- Misbehavior Detection in VANETs using Tree-Based Machine Learning Techniques.
.- Systematic Review of PPCP Models, Arti cial Intelligence, and Optimization Applied to the Small-Scale Textile Industry.
.- DepthGate: Condence-Gated Depth Veri cation for Multimodal Industrial Anomaly Detection.
.- Impact of Anatomical Positioning Markers on Breast Cancer Detection Thermography.
.- Predicting Temporal Metrics in Dynamic Systems Using Machine Learning.
.- Implementation of an Orchestrated Multi-Agent System for PPCP in Textile MSMEs: A Prompt Engineering Approach.
.- Adversarial Detection in EEG-Based BCIs: A Comparative Study of Classical and Neuro-Fuzzy Approaches.
.- DeOP-Light: Analyzing the Fine-tuning Paradox in CLIP Visual Encoder Compression for Open-Vocabulary Semantic Segmentation.
.- A Model Implementation to detect Hate Speech associated with Gender Violence by Natural Language Processing and Machine Learning.
.- Behavioral nance in determining the nancial choices of households.
.- A Multidimensional Quality Assessment of Synthetic Movement Data for Post-Stroke Rehabilitation.
.- SingLoRA-CLIP: Highly e cient VLM Adaptation with a Single Parameter Matrix.
.- Robust Vehicle Detection Framework Using YOLO12 with Advanced Augmentations for Adverse Weather Conditions.
.- A Multi-Objective Loss Function for Neighbor-Based Recommender Systems.
.- Algebraic Sheaf Convolution Networks for Local-to-Global Semantic Consistency in Heterogeneous Graphs.
.- Horizon-Aware Feature Selection and Evolutionary Optimization for Intraday Prediction in Futures Markets.
.- C-MTSS: Compact Multi-Teacher Single-Student Framework for Real-Time Multimodal Industrial Anomaly Detection.
.- Class-Speci c Feature Weighting Query Strategy for Online Active Learning in Intrusion Detection.
.- A Formal Constraint-Based Method for Detecting Gaps in Input Validation Test Suites.
.- MuSEvo: Assessing the Robustness of Multilingual Summarization Metrics through Evolutionary Adversarial Natural Language Processing-based Attacks.
.- Bayesian Analysis for Wild re Classi cation in the United States and Australia through Spatial Hierarchical Models.
.- ESGRep: Learning Domain-Speci c Embeddings for ESG Retrieval-Augmented Question Answering.
.- An Intelligent eUPF for Time-Sensitive Path Selection in B5G Edge Networks.
.- GPS: GlobalCLIP-PatchCore-SAM Based Zero-Shot Anomaly Detection and Localization in Smart Manufacturing.
.- Neural Networks and Gaussian Regression Process Comparison on a Physical Problem.
.- A Generalized AI-Powered Framework for CrossDomain Technology Readiness Assessment.
.- A Compact QSAR Model for BRAF Inhibitors Based on Gaussian Process Regression.
.- Machine LearningGuided Stochastic Switching Modeling of Chronic Kidney Disease.
.- A LightGBM Framework for Operational Tide Forecasting and Predictive Imputation in the Río de la Plata.
.- Enhancing Model Generalization in Index Futures Markets via Evolutionary Optimization and Data Leakage-Free Feature Engineering.
.- Zero-Shot LLM Sentiment Meets Market Microstructure: Parsimonious Feature Selection for High-Frequency Bitcoin Forecastings.
.- Evaluating Segmentation and Temporal Resolution in Highway Crash Forecasting: The BR-040 Corridor.
.- Semantic Noise Filtering in Post-Stroke Kinematic Data: An Automated Deep Learning Approach.
.- Semantic Leakage in CKKS via Homomorphic Noise.
