REPOSITORIO INSTITUCIONAL DA UFOP
metadata only
Machine learning and pattern recognition : methods and applications for integrity monitoring of civil engineering structures.
Structural Health Monitoring (SHM) is a problem that can be addressed at many levels. One of the most promising approaches used in damage assessment problems is based on pattern recognition. The idea is to extract features from data that characterize only the normal condition and to use them as a te
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions#133976
- Data Protection Issues in Automated Decision-Making Systems Based on Machine Learning: Research Challenges#328645
- ZuraNet: a hybrid rule-based intrusion detection system with deep learning for securing SCADA-driven cyber-physical systems.#265619
- Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation#133958
- Machine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects#1108078
Record · ID 1148469
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive