Tabla de Contenidos: “…Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1: Emerging Research in Next Generation Computing Like Cloud Computing, Cybersecurity, and Gaming -- Chapter 1 Deploying Virtual Desktop Infrastructure with Open-Source Platform for Higher Education -- 1.1 Introduction -- 1.2 Background -- 1.2.1 Cloud Computing -- 1.2.2 Virtualization -- 1.3 VDI Deployment Using CloudStack as a Private Cloud -- 1.4 Deploy at Information Technology Laboratories -- 1.5 Conclusion -- References -- Chapter 2 Enhancing Intrusion Detection Effectiveness Through an Enhanced Hierarchical Communication Architecture -- 2.1 Introduction -- 2.2 Related Works -- 2.3 Proposed Model -- 2.4 Analysis -- 2.5 Conclusion -- References -- Chapter 3 Enhanced SDN Security Using Mobile Agent -- 3.1 Introduction -- 3.1.1 Introduction to SDN -- 3.1.2 SDN Compared to Conventional Networking -- 3.2 Network Security in SDN -- 3.2.1 Vulnerabilities in SDN -- 3.2.2 Threats on SDN -- 3.3 Enhanced SDN Network Security Using Mobile Agent -- 3.3.1 Cloud Network Management Mobile Agent (CNMMA) Architecture Model -- 3.3.2 Mobile Agent Platform (MAP) -- 3.3.3 Network Management Mobile Agent -- 3.3.4 Mobile Agent Distributed Intrusion Detection System Framework (MA-DIDS) -- 3.3.4.1 IDS-Control Center -- 3.3.4.2 Mobile Agent SDN Control App -- 3.3.5 SDN Network Simulator -- 3.4 Conclusions -- References -- Chapter 4 Understanding the Impact and Implications of Emagnet and Pastebin in Cybersecurity -- 4.1 Introduction -- 4.1.1 Background of Emagnet and Pastebin -- 4.1.2 Importance of the Research -- 4.1.2.1 Research Questions -- 4.2 Literature Review -- 4.2.1 Evolution of Pastebin as a Platform for Hacker Exploits -- 4.2.1.1 Emagnet's Capabilities and Functionalities -- 4.3 Leaked Databases -- 4.4 Methodology -- 4.4.1 Emagnet -- 4.4.2 Key Features and Known Issues…”

Tabla de Contenidos: “…References -- Chapter 5 Design &amp -- Development -- What You will Learn in this Chapter -- The Chapter Roadmap -- 5.1 Design and Development Process Steps -- Part 1: Design -- 5.2 Introduction to Design -- 5.2.1 Ideation -- 5.2.2 Concept Design -- 5.2.3 Embodiment Design -- 5.2.4 Tools to Assist Embodiment Design -- Part 2: Development -- 5.3 Introduction to Development -- 5.3.1 Initial Specifications -- 5.3.2 Quality Function Deployment (QFD) -- 5.3.3 Design of Experiments (DOE) -- 5.3.4 Usability Testing -- 5.3.5 Performance and Endurance Testing -- 5.3.6 Quality Assurance -- 5.3.7 Design for Manufacturing and Assembly (DfMA) -- 5.3.8 Design for Sustainability -- 5.4 In Summary -- 5.A Design &amp -- Development Practice Questions -- Answers to practice questions: Product design and development -- References -- Chapter 6 Market Research -- What You will Learn in this Chapter -- The Chapter Roadmap -- 6.1 How Market Research Contributes to Product Innovation -- 6.1.1 Voice of the Customer -- 6.1.2 Six Critical Steps of Market Research -- 6.2 Selecting the Right Market Research Methodology -- 6.3 Primary Vs. …”

Tabla de Contenidos: “…4.2.1 Understanding the data -- 4.2.2 Implementing the network -- 4.3 One step at a time: Recurrent neural networks (RNNs) -- 4.3.1 Understanding the data -- 4.3.2 Implementing the model -- 4.3.3 Predicting future CO2 values with the trained model -- Summary -- Answers to exercises -- 5 State-of-the-art in deep learning: Transformers -- 5.1 Representing text as numbers -- 5.2 Understanding the Transformer model -- 5.2.1 The encoder-decoder view of the Transformer -- 5.2.2 Diving deeper -- 5.2.3 Self-attention layer -- 5.2.4 Understanding self-attention using scalars -- 5.2.5 Self-attention as a cooking competition -- 5.2.6 Masked self-attention layers -- 5.2.7 Multi-head attention -- 5.2.8 Fully connected layer -- 5.2.9 Putting everything together -- Summary -- Answers to exercises -- Part 2 Look ma, no hands! Deep networks in the real world -- 6 Teaching machines to see: Image classification with CNNs -- 6.1 Putting the data under the microscope: Exploratory data analysis -- 6.1.1 The folder/file structure -- 6.1.2 Understanding the classes in the data set -- 6.1.3 Computing simple statistics on the data set -- 6.2 Creating data pipelines using the Keras ImageDataGenerator -- 6.3 Inception net: Implementing a state-of-the-art image classifier -- 6.3.1 Recap on CNNs -- 6.3.2 Inception net v1 -- 6.3.3 Putting everything together -- 6.3.4 Other Inception models -- 6.4 Training the model and evaluating performance -- Summary -- Answers to exercises -- 7 Teaching machines to see better: Improving CNNs and making them confess -- 7.1 Techniques for reducing overfitting -- 7.1.1 Image data augmentation with Keras -- 7.1.2 Dropout: Randomly switching off parts of your network to improve generalizability -- 7.1.3 Early stopping: Halting the training process if the network starts to underperform -- 7.2 Toward minimalism: Minception instead of Inception…”

Tabla de Contenidos: “…Nussbaum, Stanley Cavell, Martin Heidegger, Max Scheler y Martin Buber -- 2.2. Dos aportaciones máS: EMMANUEL LEVINAS y JEAN PIERRE SONET…”

Tabla de Contenidos: “…9.2.3 Explicitly filtered LES and the grid convergence issue -- 9.3 Implicit coupling between numerics and explicit subgrid models -- 9.3.1 Statement of the problem -- 9.3.2 A first analysis via Taylor expansions -- 9.3.3 Static and dynamic analysis -- 9.3.4 Observations in nonhomogeneous flows -- 9.3.4.1 Plane channel flow case -- 9.3.4.2 Circular cylinder case -- 9.4 LES numerics: beyond order of accuracy -- 9.4.1 Statement of the problem -- 9.4.2 Structure-preserving schemes for LES -- 9.4.3 Extension to LES of compressible flows -- 9.5 Concluding remarks -- References -- 10 Numerical approximations formulated as LES models -- 10.1 Coarse grained simulations -- 10.1.1 Introduction -- 10.1.2 Low-pass filtered and finite-volume discretized Navier-Stokes equations -- 10.1.3 Modified equation analysis of subgrid scale modeling -- 10.1.3.1 Finite scale Navier-Stokes -- 10.1.3.2 Spatial filtering and ensemble averaging -- 10.2 Turbulence Reynolds number and mixing transition -- 10.2.1 Effective kinematic viscosity -- 10.3 Compressible numerical hydrodynamics -- 10.3.1 Riemann solvers -- 10.3.2 Low-Ma correction -- 10.3.3 Modified equation analysis -- 10.4 Case studies -- 10.4.1 Taylor-Green vortex -- 10.4.1.1 Impact of numerical scheme on quantities of interest -- 10.4.1.2 Numerical Reynolds number -- 10.4.2 Accelerated interface Rayleigh-Taylor driven mixing -- 10.4.2.1 Impact of numerical scheme on quantities of interest -- 10.4.2.2 Numerical Reynolds number -- 10.5 Summary and conclusions -- Acknowledgments -- References -- 11 Numerical treatment of incompressible turbulent flow -- 11.1 Introduction -- 11.1.1 Numerical challenge -- 11.1.2 Short history of energy-preserving discretization -- 11.1.3 Turbulence modeling -- 11.2 Flow equations -- 11.3 Energy-preserving discretization -- 11.3.1 Finite-volume -- 11.3.2 Evolution of energy…”

Tabla de Contenidos: “…Iozeph, espozo da sempre Virgem Maria Mă y de Deos ... / pregou-o o doutor Hyeronimo Ribeyro de Carvalho ... anno 1668.-- Em Coimbra : na officina de Rodrigo de Carvalho Coutinho... …”

Tabla de Contenidos: “…Macias, Andreu Muñoz, Antonio Peña, Imma Teixell La aplicación de los órdenes arquitectónicos en la Meseta Norte: Ma Ángeles Gutiérrez Behemerid El Foro Flavio de Termes (Hispania Citerior). …”

“…Este libro está orientado a profesionales, estudiantes y autodidactas; por su pauta, estructura y lenguaje didáctico es idóneo para ser usado como apoyo en cursos o talleres de robótica.Finalmente, la construcción, el código y los videos de todos los robots propuestos en el libro se encuentran disponibles para su descarga dentro del material adicional alojado en la página Web de este libro.El libro contiene material adicional que podrá descargar accediendo a la ficha del libro en www.ra-ma.es. Este material incluye la construcción, código y vídeos de todos los robots propuestos en esta obra…”

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