
Teil der Reihe: Artificial Intelligence (R0)
Advanced Neural Artificial Intelligence: Theories and Applications
Inhaltsangabe
A Preliminary Evaluation of Machine Learning Models for the Diagnosis of Brugada Syndrome from ECG-Extracted Features.- ECG Images Analysis for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome based on a Vision Transformer Model.- Enhancing ECG Analysis with a Hybrid Deep Learning Approach: Automatic Detection of Significant Features.- Virtual Mines – Component-Level Recycling of Printed Circuit Boards using Deep Learning.- Comparison of LSTM-based models for the 6-Hour-Ahead and Day-Ahead Forecasting of Photovoltaic Power Generation .- Forward Approximate Solution for Linear Quadratic Tracking .- Deep Echo State Network for Environmental Sound Classification.- A Fuzzy Logic Approach for Pandemic Risk Assessment and Restrictions Design.- Multi-Objective Multi-Layer Perceptron Architecture Optimization for Rapid Post-Earthquake Damage Evaluation.- Uncertainty Estimation Via Ensembles of Deep Learning Models and Dropout Layers for Seismic Traces.
Produktdetails
- Erscheinungsdatum: 23.05.2025
- Autor/Autorin: Anna Esposito
- Reihe: Artificial Intelligence (R0)
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 18.1 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 479 Seiten
- ISBN: 9789819609949
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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