Buch, Englisch, 481 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 750 g
21st International Conference, HAIS 2026, Marbella, Spain, June 18-19, 2026, Proceedings
Buch, Englisch, 481 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 750 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-032-29291-9
Verlag: Springer
This book constitutes the proceedings of the 21st International Conference on Hybrid Artificial Intelligence Systems, HAIS 2026, held in Marbella, Spain, during June 18–19, 2026.
The 38 full papers included in this book were carefully reviewed and selected from 89 submissions. They are organized into the the following topical sections: Health & Biomedical AI; Applied AI: Food, Water & Resources; Vision, Robotics & Inspection; LLMs, RAG & Agents; Hybrid Optimization & Planning; Hybrid Industrial & Energy AI; and Interpretable & Robust ML.
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Weitere Infos & Material
.- Health & Biomedical AI.
.- A Systematic Analysis of Data Augmentation and Training Parameters for Lightweight CNN-Based Mammographic Lesion Classification.
.- Phase-phase coupling characterization and classification using KAN-based autoencoder.
.- Feature Selection for Cognitive Decline Detection Using Machine Learning.
.- Early Detection of Neurotoxicity in Neuronal Cultures via Unsupervised Anomaly Detection on MEA Spike Waveforms.
.- A Byzantine-Resilient Agentic Framework for Robust Multimodal Subtyping of Non-Hodgkin Lymphoma.
.- Subject-Level Classification of Primary Progressive Aphasia from Manually Derived Linguistic Features: Effects of Task Granularity and Variant Sensitivity.
.- Applied AI: Food, Water & Resources.
.- Autonomous Soil Nutrient Mapping System: Integrating NIR Spectroscopy with a SCARA-Manipulator on a Summit-XL Rover.
.- Robust Plant Disease Diagnosis Using Multi-Agent Systems.
.- Gaussian Mixture Models for Identifying Ultra-Processed Foods.
.- Variability of Water Consumption Patterns: Assessing User Membership Stability via PCA and K-Means.
.- Enhancing the Discriminative Quality of Dairy Cattle Monitoring Data through Feature Engineering.
.- Hybrid Integration of CNN, Spectral, Structural, and Attention Mechanisms for Vegetation-Soil Segmentation in Agricultural Images.
.- Vision, Robotics & Inspection.
.- Convolutional Autoencoders Based Unsupervised Detection for Overshoot Cutting Defects on Shipbuilding Base Plates.
.- Evaluating Off-the-Shelf Semantic Segmentation for Quadruped Navigation via Pseudo-Ground Truth.
.- Occlusion-Aware Bird's-Eye-View Semantic Segmentation for Surround-View Fisheye Cameras.
.- Human-Related Acoustic Event Classification under Real Background Interference: The Role of Controlled Acoustic Dataset Generation.
.- On the Automatic Visual Inspection for Defects Detection in Injection Molding Processes.
.- LLMs, RAG & Agents.
.- Large Language Model-based Automatic Knowledge Graph Enrichment.
.- Memory Mining for LLM Agents: Dynamic Topic-Aware Retrieval of User Fact Records.
.- Hybrid Tri-Layer Framework for Robust AI-Generated Text Detection in Spanish.
.- SmartBrew Advisor: A Hybrid Conversational Recommender System for Brewing Product Guidance.
.- Hybrid Optimization & Planning.
.- An Efficient Rainbow based Memetic Algorithm to the Linear Fixed Cost Transportation Problem.
.- A Hybrid Nearest Neighbor Approach with Crossover Operators for Traveling Salesman Problem.
.- NSGA-II Multi-Objective Optimization of Plastic Injection Molding Parameters Supported by Surrogate Models.
.- Hybrid residential photovoltaic power plant scheduling method based on demand and generation forecasting.
.- Anticipatory Dispatch and Repositioning for On-Demand Food Delivery.
.- Network Architecture Search: a comparison study.
.- Imitation learning via deep Q-learning for multi-robot path planning.
.- Hybrid Industrial & Energy AI.
.- Hybrid Preprocessing and Machine Learning for Wind Power Prediction in Small-Scale Wind Systems.
.- Automatic Classification of Battery Operating Regimes Using Hidden Markov Models and Voltage Data.
.- A hybrid model for predicting petroleum coke quality based on feedstock composition and process parameters.
.- An Explainable Hybrid Framework for Process Fault Diagnosis.
.- Interpretable & Robust ML.
.- Searching for Interpretable Multilayer Perceptrons Using a Structural-Behavioural Interpretability Metric.
.- Incremental Explanatory Variable Enrichment for Interpretable Clustering Models.
.- A Variational Quantum Classifier Applied to Romanian Financial Data: Insights into Energy–Pharmaceutical Sector Relations.
.- Cascaded Bias Mitigation with Multi-objective Bayesian Optimization for Credit Scoring.
.- Feature Imaging via Mutual Information for CNN-Based IoT Intrusion Detection on NF-UNSW-NB15-v3.
.- Active Learning and Self-Labeling in Low-Budget Annotation.
