Hybrid Artificial Intelligent Systems (eBook, PDF)

20th International Conference, HAIS 2025, Salamanca, Spain, October 16-17, 2025, Proceedings, Part I
Redaktion: Corchado, Emilio; Martínez Álvarez, Francisco; García Bringas, Pablo; Martínez de Pisón, Francisco Javier; Calvo Rolle, José Luis; Jove Pérez, Esteban; Pérez García, Hilde; Troncoso Lora, Alicia; Quintián, Héctor; Sérgio Filipe, Ramos; Fosci, Paolo; Herrero, Álvaro

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the 20th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2025, held in Salamanca, Spain, during October 16-17, 2025.

The 53 full papers included in this book were carefully reviewed and selected from 120 submissions. They focus on the following topical sections:

Part I: Agricultural and Environmental Monitoring; Biomedical Applications; Cybersecurity and Network Protection; Data Mining and Decision Support Systems.

Part II: Deep Learning and Representation Learning; HAIS Energy Applications; Evolutionary Computation and Optimization; Reinforcement Learning and AI Planning; Smart Mobility and Transportation Optimization; Time Series and Forecasting Methods.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 324
• Erscheinungstermin: 14. Oktober 2025
• Englisch
• ISBN-13: 9783032084651
• Artikelnr.: 75670627

Inhaltsangabe

.- Agricultural and Environmental Monitoring.
.- Comparative Analysis of Cattle Behavior Across Intensive Dairy Farms
through Dimensional Reduction Techniques.
.- Environmental Sound Recognition for Human-Robot Interaction in Social
Robots.
.- A new Transformer-based hybrid model to forecast olive fruit fly using
multimodal data.
.- Infrared Driver Monitoring Systems - A Review, New Opportunities and
Trends.
.- Ambient Intelligence Integration in Vocational Education: Evaluating
Smart Learning Environments for Digital Skills Development.
.- Zero-shot and Few-shot Learning with Vision-Language Models for
post-disaster Structural Damage Assessment.
.- Biomedical Applications.
.- Analyzing the Impact of Data Augmentation on Tumor Detection and
Classification in Mammograms.
.- An Enhanced Hybrid Machine Learning Model for Plant Disease Detection
and Classification.
.- Interpretable ML for Stress Detection from Vital Signs Using SHAP.
.- Learning from Normal Brain Activity for Automatic Detection of
Photoparoxysmal Responses as Electroencephalographic Anomalies.
.- Subsymbolic and Symbolic Pipeline for an Explainable EEG Authentication
System.
.- Cybersecurity and Network Protection.
.- Analyzing DoS Attacks on CoAP Networks Using Low-Dimensional Latent
Representations.
.- An Approach to Anomaly Detection with Dynamic Threshold Definition for
Real-World Environments.
.- Loss Functions for Time Series Forecasting in Network Security Situation
Awareness.
.- A Hybrid Feature Selection Approach Using Filter-Wrapped Evaluation
(FWE) for Attack Detection in SDN.
.- RAG embeddings storage optimization through quantization and
dimensionality reduction.
.- Exploratory Visualization of IoT Attacks on the NF-CSE-CIC-IDS2018
dataset.
.- Data Mining and Decision Support Systems.
.- A Microservice System Architecture for Receiving ETL System.
.- A Novel General Hybrid System for Data Feature Selection.
.- Profiling Public Instagram Accounts with a Multimodal Vector for Hate
Exposure Analysis.
.- Symbolic Regressor: a interpretability tool for Non-Intrusive Load
Monitoring.
.- IoT Device Fingerprinting: Optimized with Data Diversity and Feature
Selection for Computational Efficiency.
.- Improvement of Multi-Label Self-Adjusting Memory kNN Classifier for
Sparse and Class-Imbalanced Data Streams.
.- HYBPARSIMONY-IDT: Hybrid Parsimonious Search for Interpretable Decision
Trees.
.- Analysis of Kernel Thinning for Scalable Support Vector Machines.