Buch, Englisch, 428 Seiten, Format (B × H): 155 mm x 235 mm
6th International Conference, OL2A 2026, Malaga, Spain, June 10–12, 2026, Proceedings, Part I
Buch, Englisch, 428 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-40094-9
Verlag: Springer International Publishing
This two-volume set consists of proceedings of the 6th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2026, held in Malaga, Spain, during June 10–12, 2026.
The 53 revised full papers presented in these proceedings were carefully reviewed and selected from 132 submissions. The papers are organized in the following topical sections:
Part I: Artificial Intelligence in Healthcare and Medicine; Optimization;Data Analysis and Artificial Intelligence for Sustainable Agriculture and Environment.
Part II: Deep Learning;Statistics and Optimization for Data-Driven Decisions; Generative Artificial Intelligenceand Machine Learning.
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Weitere Infos & Material
.- Artificial Intelligence in Healthcare and Medicine
.- Machine Learning for Diabetes Mellitus Prediction: A Comparative Analysis of Ensemble and Single Models. .- Proposal of a Multidimensional Framework to Analyse Regulation in Artificial Intelligence on Medical Devices. .- Integration of Deep Learning and Diffusion Models for the Detection of Gastric Intestinal Metaplasia in Narrow-Band Imaging. .- Multi-Step Heart Rate Forecasting using millimetre-Wave Radar and Environmental Context. .- Detection and Quantification of the Morgan Line in Veterinary Radiographs: A Hybrid Approach Combining Intensity Histogram Extraction and Deep Learning. .- Optimization .- Case Study of a Joint Routing and Scheduling Optimization Approach for Multi-Vehicle Job Shops. .- Multi-UAV Path Planning for Forest Surveillance based on ACO-BmTSP algorithm. .- Optimal Crew Selection in Competition using Multiobjective Optimization Techniques. .- A Continuous-Time Formulation for the Unrelated Parallel Machine Scheduling Problem with Setup Times and Additional Resources in the Setups. .- Enhancing a Niche Algorithm with Local Search: a Multimodal Optimization Approach. .- Extrinsic Calibration of Heterogeneous 3D Sensors Using Global Registration and Robust Refinement. .- Data Analysis .- Sustainable Clean-in-Place Process through Digital Twin-Guided Optimization. .- Is Prediction Enough? A Dynamic Graph Attention and Reinforcement Learning Framework for Automated Trading. .- Detecting and Mitigating Overvalidation in Adaptive Data Analysis: an Information-Theoretic Approach. .- Hierarchical Temporal Convolution for District Sequencing in Large-Scale Last-Mile Delivery. .- Promoting Simple Agents: Ensemble Methods for Event-Log Prediction. .- A Signal Processing Pipeline for Electromyography: IPB-FosEMG-DB case study. .- A Multinomial Logistic Regression Approach to Investigating Breast Cancer Molecular Subtypes. .- A Cyber-Physical Water Sampling System for Distributed Wastewater Monitoring. .- A Machine Learning Workflow for Biomedical Tabular Data Based on Exploratory Feature Analysis. .- Artificial Intelligence for Sustainable Agriculture and Environment .- Multi-View Terrain Traversability Mapping from UAV RGB Imagery for UGV Navigation. .- Exploring the Gap Between Local Sensors and Open-Source Weather Data. .- Enhancing Small Object Detection in UAV-Based Olive Monitoring Using YOLO12 and SAHI. .- Genetic Programming for Crown Delimitation: An Exploratory Study in Remote Sensing. .- A Surrogate-Based Workflow for Indoor Hydroponic Lettuce Optimization. .- Development of a Digital Twin Platform for Agriculture 4.0 Demonstration.
