Tabla de Contenidos: “…-- Certification Exam Policies -- Tips for Taking Your Cloud+ Exam -- Cloud+ Exam Renewal -- CompTIA Cloud+ Study Guide: Exam CV0-003 Objective Map -- 1.0 Cloud Architecture and Design -- 2.0 Security -- 3.0 Deployment -- 4.0 Operations and Support -- 5.0 Troubleshooting -- Reader Support for This Book -- Assessment Test -- Answers to Assessment Test -- Chapter 1 Introducing Cloud Computing Configurations and Deployments -- Introducing Cloud Computing -- Virtualization -- Cloud Service Models -- Cloud Reference Designs and Delivery Models -- Introducing Cloud Concepts and Components -- Connecting the Cloud to the Outside World -- Deciding Whether to Move to the Cloud -- Selecting Cloud Compute Resources -- Hypervisor Affinity Rules -- Validating and Preparing for the Move to the Cloud -- Choosing Elements and Objects in the Cloud -- Internet of Things -- Machine Learning/Artificial Intelligence (AI) -- Creating and Validating a Cloud Deployment -- The Cloud Shared Resource Pooling Model -- Organizational Uses of the Cloud -- Scaling and Architecting Cloud Systems Based on Requirements -- Understanding Cloud Performance -- Delivering High Availability Operations -- Managing and Connecting to Your Cloud Resources -- Is My Data Safe? …”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Diversity, Equity, and Inclusion -- Chapter 1 Understanding the Fundamentals of Diversity, Equity, and Inclusion -- Re-Shifting the Focus to Diversity, Equity, and Inclusion Work -- Understanding the History of Diversity and Inclusion in the Workplace -- Defining Diversity, Equity, and Inclusion -- Diversity -- Multiple dimensions of diversity -- Equity -- Inclusion -- Diversity, equity, and inclusion -- Breaking Down Other Key DEI-Related Terms -- Ability and disabilities -- Belonging -- BIPOC -- Implicit bias -- Intersectionality -- Isms and phobias -- LGBTQIA+ -- Microaggressions -- Neurodiversity -- Prejudice and stereotypes -- Privilege and power -- Getting Started: Reflection Activity -- Chapter 2 Exploring Key Demographic Trends that Are Redefining the Workplace -- Increasingly Global -- Increasingly Diverse -- Generational diversity -- Gender diversity -- Racial and ethnic diversity -- Increasingly More Flexible and Working More Virtually -- A new way of thinking about work -- The impact diversity, equity, and inclusion -- Increasingly Digital -- Considering the COVID-19 pandemic's effects on digitalization -- Examining automation's and artificial intelligence's impact on talent and DEI -- Increasingly Underskilled -- Chapter 3 Cultivating Skills and Competencies for Leading Today's Workers -- Assessing Your DEI Leadership Effectiveness -- Demonstrating emotional intelligence -- Exhibiting authenticity and transparency -- Building and maintaining trust -- Leading change -- Dealing with conflicts -- Using diplomacy and tact -- Applying an equity lens in decision making -- Exercising cultural competence…”

Tabla de Contenidos: “…Edge computing -- 3.1.6. Artificial intelligence -- 3.2. Conclusion -- 3.3. References -- 4. 6G for Tactile Internet -- 4.1. …”

Tabla de Contenidos: “…6.7.2 Optimal Thresholding -- 6.7.3 Threshold Selection Based on Boundary Characteristics -- 6.7.4 Use of Motion in Segmentation -- 6.8 Accumulative Difference Image -- Summary -- Review Questions -- Chapter 7: Image Restoration -- 7.1 Introduction -- 7.2 Degradation Model -- 7.3 Degradation Model for Continuous Functions -- 7.4 Discrete Degradation Model -- 7.5 Estimation of Degradation Function -- 7.6 Estimation by Experimentation -- 7.7 Estimation by Modeling -- 7.8 Inverse Filtering Approach -- 7.9 Least Mean Square Filter -- 7.10 Interactive Restoration -- 7.11 Constrained Least Squares Restoration -- 7.11.1 Geometric Transformations -- 7.11.2 Spatial Transformations -- 7.11.3 Gray Level Interpolation -- Summary -- Review Questions -- Chapter 8: Image Representation and Description -- 8.1 Introduction -- 8.2 Boundary Representation Using Chain Codes -- 8.3 Boundary Representation Using Line Segments -- 8.4 Boundary Representation Using Signature -- 8.5 Shape Number -- 8.6 Fourier Descriptors -- 8.7 Moments -- 8.8 Region Representation -- 8.8.1 Run-Length Codes -- 8.8.2 Quad Tree -- 8.8.3 Skeletons -- 8.9 Regional Descriptors -- 8.10 Topological Descriptors -- 8.11 Texture -- 8.11.1 Statistical Approach -- 8.11.2 Structural Approach -- 8.12 Relational Descriptors -- Summary -- Review Questions -- Chapter 9: Pattern Classification Methods -- 9.1 Introduction -- 9.2 Statistical Pattern Classification Methods -- 9.2.1 Supervised and Unsupervised Learning Methods -- 9.2.2 Parametric Approaches -- 9.2.3 Nonparametric Approaches -- 9.2.4 Deterministic Trainable Classification Algorithms -- 9.3 Artificial Intelligence Approach in Pattern Classification -- 9.4 ANN Approaches in Pattern Classification -- 9.4.1 Backpropagation Training Algorithm for MLP Classifier -- 9.4.2 Experimentation With MLP Classifier -- 9.4.3 Classification of Mechanical Components…”

Tabla de Contenidos: “…-- On two computer models involving artificial 'neural network' simulations -- Connectionist simulations comparing 'egocentric' and 'altercentric' networks (Bråten) -- Computer simulation of imitation of arm-raising in a face-to-face situation (Billard &amp -- Arbib)…”

Tabla de Contenidos: “…-- Interoperability Summary -- What Role Might AI Play in Reducing Knowledge Gaps? Artificial Intelligence (AI) in Reducing or Widening Knowledge Gaps -- What Is Experiential Knowledge? …”

Tabla de Contenidos: “…. -- Chapter 13: Using Artificial Intelligence with LaTeX -- Getting started with ChatGPT -- How to do it... -- How it works... -- There's more... -- Getting answers to LaTeX questions -- How to do it... -- How it works... -- Improving your content -- How to do it... -- How it works... -- There's more... -- Generating code -- How to do it... -- How it works... -- There's more... -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…Eradicating incidents -- Recovering from incidents -- Conducting a post-mortem -- Utilizing Defense-in-Depth -- Part 2 Exploring the CCSP Certification Domains -- Chapter 3 Domain 1: Cloud Concepts, Architecture, and Design, Part 1 -- Understanding Cloud Computing Concepts -- Defining cloud computing terms -- Identifying cloud computing roles and responsibilities -- Recognizing key cloud computing characteristics -- On-demand self-service -- Broad network access -- Resource pooling -- Rapid elasticity -- Measured service -- Building block technologies -- Storage -- Networking -- Virtualization -- Orchestration -- Describing Cloud Reference Architecture -- Cloud computing activities -- Cloud service provider -- Cloud service customer -- Cloud service partner -- Cloud service capabilities -- Cloud service categories -- Infrastructure as a service (IaaS) -- Platform as a service (PaaS) -- Function as a service (FaaS) -- Software as a service (SaaS) -- Cloud deployment models -- Public cloud deployment -- Private cloud deployment -- Community cloud deployment -- Hybrid cloud deployment -- Cloud shared considerations -- Interoperability -- Portability and reversibility -- Availability -- Resiliency -- Security and privacy -- Governance -- Service-level agreements -- Maintenance and versioning -- Regulatory compliance -- Auditability -- Impact of related technologies -- Artificial Intelligence (AI) and machine learning (ML) -- Data science -- Blockchain -- Internet of things (IoT) -- Edge computing -- Confidential computing -- Containers -- Quantum computing -- DevSecOps -- Chapter 4 Domain 1: Cloud Concepts, Architecture, and Design, Part 2 -- Identifying Security Concepts Relevant to Cloud Computing -- Cryptography and key management -- Data at rest -- Data in transit -- Data in use -- Key management -- Identity and access control…”

Tabla de Contenidos: “…-- Epistemology of True and False -- Society of the Spectacle and Hyperreality -- Donald Trump the Empty Signifier -- From Simulation to the Grotesque and the Self‐Parody -- Springtime for Hitler -- Serge Latouche Remembers Baudrillard -- Biosphere 2: The Artificial Paradise of Nature -- Reality TV and Baudrillard's Telemorphosis -- The Truman Show: "The Last Thing That I Would Ever Do is Lie to You" -- My Two Key Differences from Baudrillard -- Part Three - Posthumanism: N. …”

Tabla de Contenidos: “…Analyzing the data -- Exporting the data flow -- Turning off the resources -- Verifying the results -- Summary -- Further reading -- Part 3: Diving Deeper with Relevant Model Training and Deployment Solutions -- Chapter 6: SageMaker Training and Debugging Solutions -- Technical requirements -- Getting started with the SageMaker Python SDK -- Preparing the essential prerequisites -- Creating a service limit increase request -- Training an image classification model with the SageMaker Python SDK -- Creating a new Notebook in SageMaker Studio -- Downloading the training, validation, and test datasets -- Uploading the data to S3 -- Using the SageMaker Python SDK to train an ML model -- Using the %store magic to store data -- Using the SageMaker Python SDK to deploy an ML model -- Using the Debugger Insights Dashboard -- Utilizing Managed Spot Training and Checkpoints -- Cleaning up -- Summary -- Further reading -- Chapter 7: SageMaker Deployment Solutions -- Technical requirements -- Getting started with model deployments in SageMaker -- Preparing the pre-trained model artifacts -- Preparing the SageMaker script mode prerequisites -- Preparing the inference.py file -- Preparing the requirements.txt file -- Preparing the setup.py file -- Deploying a pre-trained model to a real-time inference endpoint -- Deploying a pre-trained model to a serverless inference endpoint -- Deploying a pre-trained model to an asynchronous inference endpoint -- Creating the input JSON file -- Adding an artificial delay to the inference script -- Deploying and testing an asynchronous inference endpoint -- Cleaning up -- Deployment strategies and best practices -- Summary -- Further reading -- Part 4: Securing, Monitoring, and Managing Machine Learning Systems and Environments -- Chapter 8: Model Monitoring and Management Solutions -- Technical prerequisites…”

Tabla de Contenidos: “…-- 1.13.1 Big Data Analytics -- 1.13.2 Data Science and Big Data Are Making a Difference: Use Cases -- 1.14 Case Study-A Big-Data Mobile Application -- 1.15 Intro to Data Science: Artificial Intelligence-at the Intersection of CS and Data Science -- 2. …”

Tabla de Contenidos: “…Kolmogorov-Gabor Polynomial Model (Nonlinear) -- 7.3.2.3. Artificial Neural Network Model (Nonlinear) -- 7.3.2.4. …”

Tabla de Contenidos: “…8.7 Conclusion -- References -- Chapter 9: Harnessing Artificial Intelligence for Secure ECG Analytics at the Edge for Cardiac Arrhythmia Classification -- 9.1 Introduction -- 9.2 Literature Review -- 9.3 Dataset Preparation -- 9.4 Methodology -- 9.4.1 ECG Pre-processing Phase -- 9.4.2 Heartbeat Segmentation Phase -- 9.4.3 Feature Extraction Phase -- 9.4.4 Learning/Classification Phase -- 9.5 Experimental Setups, Results and Discussion -- 9.5.1 Performance Indicators -- 9.5.2 Results for Experimental Setup 1 -- 9.5.3 Results for Experimental Setup 2 -- 9.6 Conclusion -- References -- Chapter 10: On Securing Electronic Healthcare Records Using Hyperledger Fabric Across the Network Edge -- 10.1 Introduction -- 10.2 Existing Decentralized Security Methods: Can Blockchain Be Used At the Edge? …”

Tabla de Contenidos: “…4.4 Emerging Technologies/Resources in Health Sector -- 4.4.1 Elasticsearch -- 4.4.2 BioBERT -- 4.4.3 Knowledge Graphs -- 4.5 Conclusion -- References -- 5 Actionable Content Discovery for Healthcare -- 5.1 Introduction -- 5.2 Actionable Content -- 5.2.1 Actionable Content in Theory -- 5.2.2 Actionable Content in Practice -- 5.3 Health Analytics -- 5.3.1 Artificial Intelligence/Machine Learning-Based Predictive Analytics -- 5.3.2 Semantic Technology for Prescriptive Health Analytics -- 5.4 Ontologies and Actionable Content -- 5.4.1 Ontologies in Healthcare Domain -- 5.5 General Architecture for the Discovery of Actionable Content for Healthcare Domain -- 5.5.1 Ontology-Driven Actionable Content Discovery in Healthcare Domain -- 5.5.2 Case Study for Actionable Content Discovery in Cancer Domain -- 5.6 Conclusion -- References -- 6 Intelligent Agent System Using Medicine Ontology -- 6.1 Introduction to Semantic Search -- 6.1.1 What Is an Ontology in Terms of Medicine? …”

Tabla de Contenidos: “…7.2.1 The m-Polar Fuzzy ELECTRE-I Integrated Shannon's Entropy Weight Calculation Method -- 7.3 Application to Industrial Problems -- 7.3.1 Cutting Fluid Selection Problem -- 7.3.2 Results Obtained From m-Polar Fuzzy ELECTRE-I for Cutting Fluid Selection Problem -- 7.3.3 FMS Selection Problem -- 7.3.4 Results Obtained From m-Polar Fuzzy ELECTRE-I for FMS Selection -- 7.4 Conclusions -- References -- Chapter 8 Fuzzy Decision Making: Concept and Models -- 8.1 Introduction -- 8.2 Classical Set -- 8.3 Fuzzy Set -- 8.4 Properties of Fuzzy Set -- 8.5 Types of Decision Making -- 8.5.1 Individual Decision Making -- 8.5.2 Multiperson Decision Making -- 8.5.3 Multistage Decision Making -- 8.5.4 Multicriteria Decision Making -- 8.6 Methods of Multiattribute Decision Making (MADM) -- 8.6.1 Weighted Sum Method (WSM) -- 8.6.2 Weighted Product Method (WPM) -- 8.6.3 Weighted Aggregates Sum Product Assessment (WASPAS) -- 8.6.4 Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) -- 8.7 Applications of Fuzzy Logic -- 8.8 Conclusion -- References -- Chapter 9 Use of Fuzzy Logic for Psychological Support to Migrant Workers of Southern Odisha (India) -- 9.1 Introduction -- 9.2 Objectives and Methodology -- 9.2.1 Objectives -- 9.2.2 Methodology -- 9.3 Effect of COVID-19 on the Psychology and Emotion of Repatriated Migrants -- 9.3.1 Psychological Variables Identified -- 9.3.2 Fuzzy Logic for Solace to Migrants -- 9.4 Findings -- 9.5 Way Out for Strengthening the Psychological Strength of the Migrant Workers through Technological Aid -- 9.6 Conclusion -- References -- Chapter 10 Fuzzy-Based Edge AI Approach: Smart Transformation of Healthcare for a Better Tomorrow -- 10.1 Significance of Machine Learning in Healthcare -- 10.2 Cloud-Based Artificial Intelligent Secure Models -- 10.3 Applications and Usage of Machine Learning in Healthcare…”

“…The chapters herein cover scientific advancements across a diversified spectrum that includes differential as well as integral equations with applications, computational fluid dynamics, nanofluids, network theory and optimization, control theory, machine learning and artificial intelligence, big data analytics, Internet of Things, cryptography, fuzzy automata, statistics, and many more. …”

“…The chapters herein cover scientific advancements across a diversified spectrum that includes differential as well as integral equations with applications, computational fluid dynamics, nanofluids, network theory and optimization, control theory, machine learning and artificial intelligence, big data analytics, Internet of Things, cryptography, fuzzy automata, statistics, and many more. …”

Tabla de Contenidos: “…Front Cover -- Machine Learning for Future Fiber-Optic Communication Systems -- Copyright -- Contents -- Contributors -- Preface -- Acknowledgments -- 1 Introduction to machine learning techniques: An optical communication's perspective -- 1.1 Introduction -- 1.2 Supervised learning -- 1.2.1 Artificial neural networks (ANNs) -- 1.2.2 Choice of activation functions -- 1.2.3 Choice of loss functions -- 1.2.4 Support vector machines (SVMs) -- 1.2.5 K-nearest neighbors (KNN) -- 1.3 Unsupervised learning -- 1.3.1 K-means clustering -- 1.3.2 Expectation-maximization (EM) algorithm -- 1.3.3 Principal component analysis (PCA) -- 1.3.4 Independent component analysis (ICA) -- 1.4 Reinforcement learning (RL) -- 1.5 Deep learning techniques -- 1.5.1 Deep learning vs. conventional machine learning -- 1.5.2 Deep neural networks (DNNs) -- 1.5.3 Convolutional neural networks (CNNs) -- 1.5.4 Recurrent neural networks (RNNs) -- 1.5.5 Generative adversarial networks (GANs) -- 1.6 Future role of ML in optical communications -- 1.7 Online resources for ML algorithms -- 1.8 Conclusions -- 1.A -- References -- 2 Machine learning for long-haul optical systems -- 2.1 Introduction -- 2.2 Application of machine learning in perturbation-based nonlinearity compensation -- 2.2.1 Wide &amp -- deep neural network -- 2.2.2 Data collection and pre-processing -- 2.2.3 Training results -- 2.2.4 Results and discussion -- 2.3 Application of machine learning in digital backpropagation -- 2.3.1 Physics-based machine-learning models -- 2.3.2 Single-polarization systems -- 2.3.3 Dual-polarization systems -- 2.3.4 Subband processing via filter banks -- 2.3.5 Training and application examples -- 2.4 Outlook of machine learning in long-haul systems -- References -- 3 Machine learning for short reach optical fiber systems -- 3.1 Introduction to optical systems for short reach…”

Tabla de Contenidos: “…1.4.17 Estimating the fundamental matrix -- 1.4.18 Improved methods of triangulation -- 1.4.19 The achievements and limitations of multiple view vision -- 1.5 Part D - Tracking moving objects -- 1.5.1 Tracking - the basic concept -- 1.5.2 Alternatives to background subtraction -- 1.6 Part E - Texture analysis -- 1.6.1 Introduction -- 1.6.2 Basic approaches to texture analysis -- 1.6.3 Laws' texture energy approach -- 1.6.4 Ade's eigenfilter approach -- 1.6.5 Appraisal of the Laws and Ade approaches -- 1.6.6 More recent developments -- 1.7 Part F - From artificial neural networks to deep learning methods -- 1.7.1 Introduction: how ANNs metamorphosed into CNNs -- 1.7.2 Parameters for defining CNN architectures -- 1.7.3 Krizhevsky et al.'…”

Tabla de Contenidos: “…. -- ESTRATEGIAS DE CONTROL DE LOS PROCESOSDE MANUFACTURA -- CONTROL MANUAL -- CONTROL DE LAZO CERRADO -- CONTROL ADAPTATIVO -- INTELIGENCIA ARTIFICIAL -- AUTOMATIZACIÓN -- CONTROL NUMÉRICO (CN) -- Control numérico básico -- Control Numérico por computadora (CNC) -- Control Numérico Directo (DNC) -- Controladores Lógicos Programables (CLP) -- EJERCICIOS -- CAPÍTULO IV: Localización o emplazamientode empresas -- Introducción -- OBJETIVO -- LOCALIZACIÓN DE LAS INSTALACIONES -- FACTORES DE LOCALIZACIÓN -- 1. …”