Applied Computer Sciences in Engineering, Kartoniert / Broschiert
Applied Computer Sciences in Engineering
- 12th Workshop on Engineering Applications, WEA 2025, Cali, Colombia, October 29-31, 2025, Proceedings, Part I
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Juan Carlos Figueroa-García, Jesús Alfonso López-Sotelo, John Freddy Moreno-Trujillo, Elvis Eduardo Gaona-García
- Verlag:
- Springer, 10/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783032082022
- Artikelnummer:
- 12448337
- Umfang:
- 404 Seiten
- Gewicht:
- 610 g
- Maße:
- 235 x 155 mm
- Stärke:
- 22 mm
- Erscheinungstermin:
- 16.10.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Applied Computer Sciences in Engineering |
Preis |
|---|---|
| Buch, Kartoniert / Broschiert, Englisch | EUR 65,71* |
Klappentext
.- 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.