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Deep Learning Approaches to Cloud Security

DEEP LEARNING APPROACHES TO CLOUD SECURITY Covering one of the most important subjects to our society today, cloud security, this editorial;

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Advances on Smart and Soft Computing

, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms;

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Deep Biometrics

learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big;

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Deep Biometrics

learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big;

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Federated Learning Systems

attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development. Federated learning;

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AI and Deep Learning in Biometric Security

This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems;

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Building Intelligent Cloud Applications Develop Scalable Models Using Serverless Architectures with Azure

programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure. You'll;

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Deep Learning on Edge Computing Devices

> Brings together neural network algorithm and hardware design optimization approaches to deep learning, alongside real-world applications;

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Guide To Cloud Computing

exercises, study activities and discussion topics throughout the text; demonstrates the approaches used to build cloud computing infrastructures;

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Securing the Cloud

computing. As companies turn to burgeoning cloud computing technology to streamline and save money, security is a fundamental concern. The cloud;

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AI and Cloud Computing

-Physical-Social Systems with Forensic-awareness Based on Deep Learning, Review on Privacy-preserving Data Comparison Protocols in Cloud Computing;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Big Data Systems

of this book is to provide a detailed explanation of big data systems. The book covers various topics including Networking, Security, Privacy;

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TensorFlow 2 x in the Colaboratory Cloud

2.x along with Colab's easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book;

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Mobile Cloud Computing

>Contains detailed approaches to address security challenges in mobile cloud computingIncludes a case study using vehicular cloud;

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Cloud Security

predominant option for critical frameworks. As such, there is an urgent need to identify these concerns and to address them. Cloud Security;

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Oracle Enterprise Manager Cloud Control 12c Deep Dive

derive unprecedented value from your corporate assets by implementing an end-to-end cloud computing solution. Oracle Enterprise Manager Cloud;

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Future Data and Security Engineering

Applications, Cloud Data Management and Infrastructure, Security and Privacy Engineering, Authentication and Access Control, Blockchain and;

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Deep Learning for Biometrics

of biometrics security are also examined. Topics and features: addresses the application of deep learning to enhance the performance of biometrics;

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CCSP (ISC)2 Certified Cloud Security Professional Official Study Guide & Practice Tests Bundle

you need to know for the exam. Add to that the thoroughly updated (ISC)2 CCSP Certified Cloud Security Professional Official Practice Tests;

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Cyber Security Cryptography and Machine Learning

This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held;

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Hands-On Machine Learning with IBM Watson

Learn how to build complete machine learning systems with IBM Cloud and Watson Machine learning services Key Features Implement data;

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Security and Privacy for Big Data, Cloud Computing and Applications

As big data becomes increasingly pervasive and cloud computing utilization becomes the norm, the security and privacy of our systems and;

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Intelligent Computing & Optimization

and optimization approaches to real-world problems in big-data, smart cities, sustainability, meta-heuristics, cyber-security, IoTs, economics;

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Security of Cloud-Based Systems

environments, describing analysis of security threats to virtual machines monitor in cloud computing environment; a review of anomaly detection systems;

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Cloud Security Auditing

This book provides a comprehensive review of the most up to date research related to cloud security auditing and discusses auditing the;

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