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Modeling and Identification for Anomaly detection in Mechanical System

frequencies achieved through physical modeling and system identification and presents conclusions on the same.;

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Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks

This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource;

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Anomaly Detection System for Network Traffic using Data Mining

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Network Anomaly Detection

security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning;

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Recent Advances in Intrusion Detection

papers are organized in topical sections on anomaly detection, attacks, system evaluation and threat assessment, malware collection and analysis;

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Beginning Anomaly Detection Using Python-Based Deep Learning

detection tasks. This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering;

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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems

This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today's;

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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems

This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today's;

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Anomaly Detection as a Service

detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also;

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Anomaly Detection as a Service

detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also;

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Traffic Anomaly Detection

"typical day analysis". A new information-theory based technique for traffic anomaly detection (typical day analysis)

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Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The;

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Anomaly Detection

of data is called anomaly detection. With progress in the technologies and the widespread use of data for the purpose for business the increase;

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Proceedings of the ASME 2013 Dynamics Systems and Control Conference-(DSCC2013)

Manipulators Robotics and Manipulators Sensing System Identification and Estimation for Automotive Applications System Identification and Modeling;

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Finding Ghosts in Your Data

language to build a robust service for anomaly detection against a variety of data types. The book starts with an overview of what anomalies and;

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Structural Identification and Damage Detection using Genetic Algorithms

the identification accuracy for systems with known mass. It then proposes a generalization for systems with unknown mass, stiffness and;

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Structural Identification and Damage Detection using Genetic Algorithms

the identification accuracy for systems with known mass. It then proposes a generalization for systems with unknown mass, stiffness and;

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Finding Ghosts in Your Data

language to build a robust service for anomaly detection against a variety of data types. The book starts with an overview of what anomalies and;

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Practical Data Science with Hadoop and Spark

, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language;

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Nanoscale Materials for Warfare Agent Detection

systems. Above all, it discusses novel experimental and theoretical tools for characterizing and modeling nanostructures and their integration;

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System Identification

, mechanical, civil, and chemical engineering. Focusing mainly on frequency domain techniques, System Identification: A Frequency Domain Approach;

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Applied Cloud Deep Semantic Recognition

frameworks for deep semantic analysis and advanced anomaly detection using cognitive and artificial intelligence (AI) models.;

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Practical Machine Learning - A New Look at Anomaly Detection

, medicine, and marketing, anomaly detection has many useful applications in this age of big data. And the search for anomalies will intensify once;

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Modeling, Identification and Simulation of Dynamical Systems

This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics;

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Intrusion Detection with Artificial Neural Networks

of this book is to design, implement and evaluate an anomaly based network intrusion detection system. The System learns about the normal users;

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Modeling and Analysis of Dynamic Systems

techniques for modeling a variety of engineering systems, methods of response analysis, and introductions to mechanical vibration, and to basic;

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Multi model Jumping Systems Robust Filtering and Fault Detection

-frequency robust filtering and higher order moment robust filtering schemes, as well as fault detection problems for multi-model jump systems, such;

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