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Moving Objects Detection Using Machine Learning

This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background;

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Hybrid Machine Intelligence for Medical Image Analysis

features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer;

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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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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts;

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Background Modeling and Foreground Detection for Video Surveillance

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging;

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Background Modeling and Foreground Detection for Video Surveillance

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging;

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Empowering Artificial Intelligence Through Machine Learning

learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes;

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Machine Learning in Java

modeling problems using the most popular machine learning Java libraries Explore data processing, machine learning, and NLP concepts using JavaML;

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Android Malware Detection using Machine Learning

authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework;

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Android Malware Detection using Machine Learning

authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework;

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Time Series Algorithms Recipes

Forecast using machine learning and deep learning techniques such as GBM and LSTM (long short-term memory) Who This Book Is ForData Scientists;

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Network Anomaly Detection

detection system. It offers a thorough introduction to the state of the art in network anomaly detection using machine learning approaches and;

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Mastering OpenCV Android Application Programming

world Explore face detection, object detection, and image stitching in OpenCV Android programming Build smarter applications by using machine;

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Online and Adaptive Signature Learning for Intrusion Detection

This thesis presents the case of dynamically and adaptively learning signatures for network intrusion detection using genetic based machine;

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OpenCV 4 Computer Vision Application Programming Cookbook

Reconstruct a 3D scene from images Explore face detection using deep learning Who this book is forIf you're a CV developer or professional who already;

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Big Data and Machine Learning in Quantitative Investment

and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning;

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OpenCV 4 with Python Blueprints

Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and;

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Machine Learning Applications for Accounting Disclosure and Fraud Detection

Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies;

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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools;

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Overview of Speech Based Gender Identification

including all types of Fourier transform, basic speech enhancement techniques, voice activity detection and pitch estimation using sub harmonic-to;

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Challenges and Trends in Multimodal Fall Detection for Healthcare

This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and;

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Machine Vision Inspection Systems

research on machine vision using machine learning-based approaches.;

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