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This book provides a hybrid approach to fault detection and diagnostics. It presents a detailed analysis related to practical applications;
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features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer;
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Analysis, (d) A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms, and (e) Hybridization;
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This book provides readers with a fresh analysis of the Arab state by using a new theoretical framework: hybrid sovereignty. The author;
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The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also;
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coverage of computer-aided systems for tumor image classification, Alzheimer's disease detection, dementia detection using deep belief neural;
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The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The;
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The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The;
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Learn to build hybrid mobile apps using Ionic and Firebase. You'll build a Hacker News client app, which can view top stories in Hacker;
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, implementation of the tools in a cloud computing framework and the applications for insider threat detection. ;
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problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using;
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landscape of service delivery and the nature and governance of hybrid organisations, using international examples and cases from different service;
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This thesis presents the case of dynamically and adaptively learning signatures for network intrusion detection using genetic based machine;
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This book presents bond graph model-based fault detection with a focus on hybrid system models. The book addresses model design, simulation;
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Multifunctional Hybrid Nanomaterials for Sustainable Agrifood and Ecosystems shows how hybrid nanomaterials (HNMs) are being used to;
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after they occur. Using the framework of optimal stopping theory, this book describes the fundamentals underpinning the field, providing the;
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hypothesis testing fault detection techniques using multiscale representation to help deal with uncertainty in the data and minimize its effect on;
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economy. * Discusses the most important debate in international economics * Using an explicit economic framework, the book examines the;
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starting point and provides a smooth learning curve to help you build hybrid apps using web technologies and to develop native apps for iOS and;
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Metal-organic frameworks (MOFs) are crystalline porous materials constructed from metal ions/clusters and organic linkers, combining the;
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general framework for object category detection which achieves real-time detection speed with fast training and high accuracy. We also explore the;
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, including how to create hybrid mobile apps using using React and Vue, and run those apps in an internal browser using a wrapper created by Apache;
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This edition covers different topics from security of cloud-based systems, including: threats detection in cloud environments, frameworks;
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intrusion detection, including host-based, network-based, and hybrid solutions; then offers practical selection criteria; and reviews the key;
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Rare Earth Metal-Organic Framework Hybrid Materials for Luminescence Responsive Chemical Sensors primarily focuses on rare earth;
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be described within a general framework. This implies that a detection algorithm based on one criterion can be extended to the other criteria;
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