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Understanding the Bouguer Anomaly

Understanding the Bouguer Anomaly: A Gravimetry Puzzle addresses the geophysical and geodetic applications of gravity field;

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Beginning Anomaly Detection Using Python-Based Deep Learning

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras;

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Applied Cloud Deep Semantic Recognition

This book provides a comprehensive overview of the research on anomaly detection with respect to context and situational awareness that aim;

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Traffic Anomaly Detection

throughout the day, it is essential to consider the concrete traffic period in which the anomaly occurs.This bookpresents the algorithms proposed;

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Finding Ghosts in Your Data

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming;

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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 as a Service

help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly;

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Anomaly Detection as a Service

help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly;

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Finding Ghosts in Your Data

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming;

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

systems. The authors present an anomaly detector for core router systems using correlation-based time series analysis, which monitors a set;

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

systems. The authors present an anomaly detector for core router systems using correlation-based time series analysis, which monitors a set;

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Anomaly Detection

usual behavior is called an anomaly. The anomaly in the data is also referred to as noise, outlier, spammer, deviations, novelties and;

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Inside Case-Based Explanation

main steps in the process of explaining a given anomaly are as follows: * Retrieve an explanation that might be relevant to the anomaly;

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Inside Case-Based Explanation

main steps in the process of explaining a given anomaly are as follows: * Retrieve an explanation that might be relevant to the anomaly;

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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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Short and Long Term Anomalies in Initial Public Offerings

anomaly in the IPO markets has puzzled researchers since 1970s and there is a huge amount of studies on this subject. Another anomaly in the IPO;

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Practical Machine Learning - A New Look at Anomaly Detection

Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large;

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Recent Advances in Intrusion Detection

This book constitutes the refereed proceedings of the 9th International Symposium on Recent Advances in Intrusion Detection, RAID 2006;

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Magnetic Anomaly . NOD, CD

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Anomaly . Frehley, Ace, CD

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Anomaly Detection and Complex Event Processing Over IoT Data Streams

advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized;

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Applied Unsupervised Learning with R

data encoders and latent variable models. By the end of this book, you will have a better understanding of different anomaly detection methods;

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Anomaly . Degun, Jasdeep Singh, CD

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Space Anomaly . Hanslik, Alan, CD

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System Anomaly . Meat Injection, CD

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Anomaly . What So Not, CD

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Anomaly X . Merciful Nuns, CD

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