Applied Computer Sciences in Engineering

12th Workshop on Engineering Applications, WEA 2025, Cali, Colombia, October 29-31, 2025, Proceedings, Part I
Herausgegeben:Figueroa-García, Juan Carlos; Lopez Sotelo, Jesus Alfonso; Moreno-Trujillo, John Freddy; Gaona García, Elvis Eduardo

• Broschiertes Buch

Produktbeschreibung

The two-volume set CCIS 2701 and 2702 constitutes the refereed conference
proceedings of the 12th Workshop on Engineering Applications on Applied Computer Sciences in Engineering, WEA 2025, held in Cali, Colombia, during October 29 31, 2025.

The 60 revised full papers presented in these proceedings were carefully reviewed and selected from 198 submissions. The papers are organized in the following topical sections:

Volume I: Artificial Intelligence

Volume II: Optimization; Simulation; and Applications.

Produktdetails

• Communications in Computer and Information Science 2701
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 89557780, 978-3-032-08202-2
• Seitenzahl: 500
• Erscheinungstermin: 17. November 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032082022
• ISBN-10: 3032082021
• Artikelnr.: 75374053

Inhaltsangabe

.- Artificial Intelligence.

.- Term Structure of Crude Oil Futures Prices with Kolmogorov Arnold Networks: A Nonlinear Extension of the Diebold Li Model.

.- What Makes a 7 a 7? Exploration into a Neural Network s Features of Interest.

.- Meta-learning for performance prediction of machine learning models.

.- Mean Field Game Approach to Multi-Asset Portfolio Optimization with Physics-Informed Neural Networks.

.- Emotional segmentation using Fuzzy C-Means: Identifying enthusiastic, rejecting, and uncertain profiles in the presence of service robots.

.- Intraday Prediction of Oil Price using Deep Learning Techniques.

.- Forecasting the USD/COP Exchange Rate Using LSTM Networks: A Comparison with ARIMA Models.

.- Enhanced LSTM Approach to Hybrid Floating Photovoltaic- Hydropower (HFPVH) systems.

.- Hybrid FEM-ML modeling: validating a custom Genetic Algorithm for predicting residual stress in additive manufacturing process.

.- Detection of Deepfakes in Images Using Convolutional Neural Networks.

.- Probabilistic Power Flow Analysis in Hybrid Systems Using Machine Learning Techniques.

.- IDS for ICS through Artificial Intelligence: A Case in Power System.

.- TinyML approach for pre-fall motion pattern detection in older adults.

.- Improving Handwriting-Based Parkinson s Disease Classification Through Transfer Learning and Generative Data Augmentation.

.- Speech Representations to Monitor Parkinson Disease Progression.

.- Parkinson s detection in videos using classical and DL techniques.

.- WilsonIA: rule based framework for supporting non-expert creating Machine Learning models.

.- Exploring Fuzzy Transformers Fusion Applied to Sentiment Analysis.

.- An Optimized Approach for Automatic License Plate Recognition in Open-Access Environments.

.- Learning Structured Spatiotemporal Tasks with xLSTM under Uncertainty: A Multi-Task Approach.

.- Machine and Deep Learning Classification of Chitinase Enzymes Including Explanations.

.- Implementation and Evaluation of Deep Learning Architectures for Human Activity Recognition.

.- FedSyncBN: BatchNorm Synchronization for Pulmonary Vascular Anomaly Detection in Heterogeneous Federated Learning.

.- Predictive Recommendation System Based on Machine Learning Models for Academic Marketing Strategies in Higher Education Institutions.

.- Predictive Model Based on Thunderstorms in Colombia Using Machine Learning Techniques.

.- Detection of Diabetic Foot Ulcers using deep learning models.

.- Anomaly Detection System Based on 3D Convolutional Neural Networks and YOLO on Surveillance Videos.

.- BreastScanAI: A Computational Tool for 3D Volumetric Modeling and Deep Learning Based Analysis of Breast MRI.

.- EEG-based Discrimination of Aging Effects from Movement Therapy Using Machine Learning.

.- Grad-CAM Powered Transfer Learning for Citrus Disease Classification with MobileNetV2.

.- Machine learning based discrimination between young and older adults using brain signals.