
Teil der Reihe: Springer Nature Proceedings excluding Computer Science
Intelligent Systems and Applications
Inhaltsangabe
A Lightweight Machine Learning Approach for Smartphone-Based Pig Weight Estimation.- Vanishing Depth: Training Generalized Depth Adapters with Sinusoidal Depth Preprocessing for Pretrained RGB Encoders.- Detection of Foraging and Sanitation Behaviors in Stingless Bee Hives Using Deep Learning.- Design of a Query Expression for Multi-Dimensional Graph Warehousing.- PCA-Based Interpretable Knowledge Representation and Analysis of Geometric Design Parameters.- Latent Boost: Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces.- Towards Better Dining Sector: Interpretable Sentiment Analysis of Jordanian Restaurants’ Reviews.- A Multi-Objective Framework for Selecting Plausible and Causally Consistent Counterfactual Explanations Guided by SHAP.- From Risk Score to Audit Explanation: Two-Stage Procurement Fraud Detection in ERP.- Blockchain-Enabled Federated Learning for Collaborative Autonomous Vehicles.
Produktdetails
- Erscheinungsdatum: 13.08.2026
- Autor/Autorin: Kohei Arai
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 99.8 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 853 Seiten
- ISBN: 9783032327260
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Herstellerinformationen
Email: ProductSafety@springernature.com











