Tabla de Contenidos: “…Cover -- Copyright -- Contributors -- Table of Contents -- Preface -- Section 1: Building a Dash App -- Chapter 1: Overview of the Dash Ecosystem -- Technical requirements -- Setting up your environment -- Exploring Dash and other supporting packages -- The different packages that Dash contains -- Understanding the general structure of a Dash app -- Creating and running the simplest app -- Adding HTML and other components to the app -- Adding HTML components to a Dash app -- Learning how to structure the layout and managing themes -- Themes -- Grid system and responsiveness -- Prebuilt components -- Encoded colors -- Adding Dash Bootstrap components to our app -- Summary -- Chapter 2: Exploring the Structure of a Dash App -- Technical requirements -- Using Jupyter Notebooks to run Dash apps -- Isolating functionality for better management and debugging -- Creating a standalone pure Python function -- The id parameter of Dash components -- Dash inputs and outputs -- Determining your inputs and outputs -- Specifying your callback function -- Implementing the callback -- Incorporating the function into the app -- Properties of Dash's callback functions -- Summary -- Chapter 3: Working with Plotly's Figure Objects -- Technical requirements -- Understanding the Figure object -- Getting to know the data attribute -- Getting to know the layout attribute -- Interactively exploring the Figure object -- Configuration options for the Figure object -- Exploring the different ways of converting figures -- Converting figures into HTML -- Converting figures into images -- Plotting using a real dataset -- Data manipulation as an essential part of the data visualization process -- Making the chart interactive with a callback function -- Adding the new functionality to our app -- Theming your figures -- Summary…”

Tabla de Contenidos: “…6.4.1 Static Analysis -- 6.4.2 Dynamic Analysis -- References -- Chapter 7 Finite Volume Method -- 7.1 Introduction -- 7.2 Discretization Techniques of FVM -- 7.3 General Form of Finite Volume Method -- 7.3.1 Solution Process Algorithm -- 7.4 One‐Dimensional Convection-Diffusion Problem -- 7.4.1 Grid Generation -- 7.4.2 Solution Procedure of Convection-Diffusion Problem -- References -- Chapter 8 Boundary Element Method -- 8.1 Introduction -- 8.2 Boundary Representation and Background Theory of BEM -- 8.2.1 Linear Differential Operator -- 8.2.2 The Fundamental Solution -- 8.2.2.1 Heaviside Function -- 8.2.2.2 Dirac Delta Function -- 8.2.2.3 Finding the Fundamental Solution -- 8.2.3 Green's Function -- 8.2.3.1 Green's Integral Formula -- 8.3 Derivation of the Boundary Element Method -- 8.3.1 BEM Algorithm -- References -- Chapter 9 Akbari-Ganji's Method -- 9.1 Introduction -- 9.2 Nonlinear Ordinary Differential Equations -- 9.2.1 Preliminaries -- 9.2.2 AGM Approach -- 9.3 Numerical Examples -- 9.3.1 Unforced Nonlinear Differential Equations -- 9.3.2 Forced Nonlinear Differential Equation -- References -- Chapter 10 Exp‐Function Method -- 10.1 Introduction -- 10.2 Basics of Exp‐Function Method -- 10.3 Numerical Examples -- References -- Chapter 11 Adomian Decomposition Method -- 11.1 Introduction -- 11.2 ADM for ODEs -- 11.3 Solving System of ODEs by ADM -- 11.4 ADM for Solving Partial Differential Equations -- 11.5 ADM for System of PDEs -- References -- Chapter 12 Homotopy Perturbation Method -- 12.1 Introduction -- 12.2 Basic Idea of HPM -- 12.3 Numerical Examples -- References -- Chapter 13 Variational Iteration Method -- 13.1 Introduction -- 13.2 VIM Procedure -- 13.3 Numerical Examples -- References -- Chapter 14 Homotopy Analysis Method -- 14.1 Introduction -- 14.2 HAM Procedure -- 14.3 Numerical Examples -- References…”

Tabla de Contenidos: “…Polymorphism -- Inheritance -- Virtual functions -- Pure virtual functions -- Pointers and object slicing -- The roguelike template setup -- Downloading SFML -- Linking SFML -- Running the project -- Adding an item -- Updating and drawing -- Exercises -- Summary -- Chapter 3: Using RNG with C++ Data Types -- Setting the game seed -- Setting Boolean values randomly -- Generating a number between 0 and 1 -- Choosing if an item spawns -- Random number distribution -- Giving the player random stats -- Accessing random elements of a collection -- Spawning a random item -- Generating random characters -- Repeating loops -- Spawning a random number of items -- Exercises -- Summary -- Chapter 4: Procedurally Populating Game Environments -- Potential obstacles -- Keeping within the bounds of a level -- Avoiding overlapping objects -- Creating meaningful levels -- Level tiles -- Defining the spawn area -- Calculating the level bounds -- Checking the underlying game grid -- Selecting a suitable game tile -- Randomly selecting a tile -- Checking whether a tile is suitable -- Converting to absolute position -- Spawning items at a random location -- Expanding the spawning system -- Using enumerators to denote an object type -- Optional parameters -- The complete spawn functions -- Updating the spawn code -- Randomly spawning enemies -- Spawning random tiles -- Adding a new game tile -- Choosing a random tile -- Implementing the SpawnRandomTiles function -- Exercises -- Summary -- Chapter 5: Creating Unique and Randomized Game Objects -- Creating a random player character -- Choosing a player class -- An overview of sprites and textures -- Setting an appropriate sprite -- Buffing the player stats -- Random character traits -- Returning the player traits array -- Setting trait sprites -- Procedurally generating an enemy class -- Procedural items…”

“…In order to balance production with consumption, and to improve the lifetime of batteries, Imene Yahyaoui offers a complete study through sensitive analysis of system components and sizing algorithms, providing guidance for efficient energy conversion and management for off-grid systems. From this single source, readers will be equipped with all the necessary data they need to understand, plan, and implement cost reduced systems. …”

Tabla de Contenidos: “…Feature extraction and principal component analysis -- Summary -- Chapter 12: Beyond the Essentials -- The bias variance tradeoff -- Error due to bias -- Error due to variance -- Two extreme cases of bias/variance tradeoff -- Underfitting -- Overfitting -- How bias/variance play into error functions -- K folds cross-validation -- Grid searching -- Visualizing training error versus cross-validation error -- Ensembling techniques -- Random forests -- Comparing Random forests with decision trees -- Neural networks -- Basic structure -- Summary -- Chapter 13: Case Studies -- Case study 1 - predicting stock prices based on social media -- Text sentiment analysis -- Exploratory data analysis -- Regression route -- Classification route -- Going beyond with this example -- Case study 2 - why do some people cheat on their spouses? …”

Tabla de Contenidos: “…Partial template specialization -- Summary -- Chapter 4: Smart Pointers -- Memory management -- Issues with raw pointers -- Smart pointers -- auto_ptr -- Code walkthrough - Part 1 -- Code walkthrough - Part 2 -- unique_ptr -- Code walkthrough -- shared_ptr -- Code walkthrough -- weak_ptr -- Circular dependency -- Summary -- Chapter 5: Developing GUI Applications in C++ -- Qt&amp -- #160 -- -- Installing Qt 5.7.0 in Ubuntu 16.04 -- Qt Core -- Writing our first Qt console application -- Qt Widgets -- Writing our first Qt GUI application -- Layouts -- Writing a GUI application with a horizontal layout -- Writing a GUI application with a vertical layout -- Writing a GUI application with a box layout -- Writing a GUI application with a grid layout -- Signals and slots -- Using stacked layout in Qt applications -- Writing a simple math application combining multiple layouts -- Summary -- Chapter 6: Multithreaded Programming and Inter-Process Communication -- Introduction to POSIX pthreads -- Creating threads with the&amp -- #160 -- pthreads library -- How to compile and run -- Does C++ support threads natively? …”

“…This book serves as a key resource in M2M, which is set to grow significantly and is expected to generate a huge amount of additional data traffic and new revenue streams, underpinning key areas of the economy such as the smart grid, netw…”

Tabla de Contenidos: “…Potential roadblocks -- Summary -- Chapter 13: The Importance of Smart Buildings for Sustainability and the Environment -- ESG -- ESG terminology -- ESG and buildings -- Sustainability -- Sustainability data -- ESG and sustainability confusion -- Green buildings -- EU sustainability taxonomy -- ESG and smart buildings investments -- Sustainability funding -- Global sustainability plan -- Summary -- Chapter 14: Smart Buildings Lead to Smart Cities -- The elusive smart city -- Smart city defined -- The benefits of a smart city -- Smart buildings create the smart city -- Framework for measuring smart city impact -- IoT helps buildings give back to the grid -- Net-zero buildings -- Government buildings are smart city starters -- World's top smart cities 2022 -- Summary -- Chapter 15: Smart Buildings on the Bleeding Edge -- Smart buildings' impact on NOI -- Smart buildings are digitalizing the commercial real estate market -- Building smart from the start -- Intelligent learning -- AI is making buildings smarter -- Unified buildings -- IoT will drive the future of buildings -- What's next -- Final thoughts - data tagging -- Summary -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…; 2.14 Black Swan al Qaeda Attacks; 2.15 Black Swan Pandemic; 2.16 Risk and Resilience; 2.17 Exercises; References; Chapter 3 Theories of Catastrophe; 3.1 NAT; 3.2 Blocks and Springs; 3.3 Bak's Punctuated Equilibrium Theory; 3.4 TOC; 3.4.1 The State Space Diagram; 3.5 The U.S. Electric Power Grid; 3.6 POE; 3.6.1 The Great Recessions; 3.6.2 Too Much Money; 3.7 Competitive Exclusion; 3.7.1 Gause's Law; 3.7.2 The Self-Organizing Internet; 3.7.3 A Monoculture…”

Tabla de Contenidos: “…Training of seq2seq -- Log-likelihood training -- Bilingual evaluation understudy (BLEU) score -- RL in seq2seq -- Self-critical sequence training -- The chatbot example -- The example structure -- Modules: cornell.py and data.py -- BLEU score and utils.py -- Model -- Training: cross-entropy -- Running the training -- Checking the data -- Playing with the trained model -- Training: SCST -- Running the SCST training -- Results -- Telegram bot -- Summary -- Chapter 13 - Web Navigation -- Web navigation -- Browser automation and RL -- Mini World of Bits benchmark -- OpenAI Universe -- Installation -- Actions and observations -- Environment creation -- MiniWoB stability -- Simple clicking approach -- Grid actions -- Example overview -- Model -- Training code -- Starting containers -- Training process -- Checking the learned policy -- Issues with simple clicking -- Human demonstrations -- Recording the demonstrations -- Recording format -- Training using demonstrations -- Results -- TicTacToe problem -- Adding text description -- Results -- Things to try -- Summary -- Chapter 14 - Continuous Action Space -- Why a continuous space? …”

Tabla de Contenidos: “…3.1.2 LHC: Figures of challenge3.2 Detection, Particles and Physics; 3.3 ATLAS and CMS; 3.3.1 ATLAS/CMS duality; 3.3.2 Magnet systems; 3.4 ATLAS and CMS: Challenges Addressed; 3.4.1 Inner detectors; 3.4.2 Calorimetry; 3.4.3 Muon detectors; 3.5 Trigger Architecture; 3.5.1 Googles of data and the grid; 3.6 To Be Continued; References; 4. Understanding the Standard Model, as a Bridge to the Discovery of New Phenomena at the LHC M. …”

Tabla de Contenidos: “…5.3.4 Higher-Order Interpolation5.4 Spatial Transformation; 5.4.1 Control-Grid Mapping; 5.5 Applications; 5.5.1 Distortion Removal; 5.5.2 Image Registration; 5.5.3 Stitching; 5.6 Summary of Important Points; References; Chapter 6: Image Enhancement; 6.1 Introduction; 6.2 Spatial Domain Methods; 6.2.1 Contrast Stretching; 6.2.2 Clipping and Thresholding; 6.2.3 Image Subtraction and Averaging; 6.2.4 Histogram Equalization; 6.2.5 Histogram Specification; 6.2.6 Spatial Filtering; 6.2.7 Directional and Steerable Filtering; 6.2.8 Median Filtering; 6.3 Fourier Transform Methods…”

Tabla de Contenidos: “…Chapter 6: Hyper-Parameter Tuning -- Black-Box Optimization -- Notes on Black-Box Functions -- The Problem of Hyper-Parameter Tuning -- Sample Black-Box Problem -- Grid Search -- Random Search -- Coarse to Fine Optimization -- Bayesian Optimization -- Nadaraya-Watson Regression -- Gaussian Process -- Stationary Process -- Prediction with Gaussian Processes -- Acquisition Function -- Upper Confidence Bound (UCB) -- Example -- Sampling on a Logarithmic Scale -- Hyper-Parameter Tuning with the Zalando Dataset -- A Quick Note about the Radial Basis Function -- Exercises -- References -- Chapter 7: Convolutional Neural Networks -- Kernels and Filters -- Convolution -- Examples of Convolution -- Pooling -- Padding -- Building Blocks of a CNN -- Convolutional Layers -- Pooling Layers -- Stacking Layers Together -- An Example of a CNN -- Conclusion -- Exercises -- References -- Chapter 8: A Brief Introduction to Recurrent Neural Networks -- Introduction to RNNs -- Notation -- The Basic Idea of RNNs -- Why the Name Recurrent -- Learning to Count -- Conclusion -- Further Readings -- Chapter 9: Autoencoders -- Introduction -- Regularization in Autoencoders -- Feed-Forward Autoencoders -- Activation Function of the Output Layer -- ReLU -- Sigmoid -- The Loss Function -- Mean Square Error -- Binary Cross-Entropy -- The Reconstruction Error -- Example: Reconstructing Handwritten Digits -- Autoencoder Applications -- Dimensionality Reduction -- Equivalence with PCA -- Classification -- Classification with Latent Features -- The Curse of Dimensionality: A Small Detour -- Anomaly Detection -- Model Stability: A Short Note -- Denoising Autoencoders -- Beyond FFA: Autoencoders with Convolutional Layers -- Implementation in Keras -- Exercises -- Further Readings -- Chapter 10: Metric Analysis -- Human-Level Performance and Bayes Error…”

Tabla de Contenidos: “…Policy-based VPN -- Layer 2 VPN -- Multiple Tier-1 Gateway VPNs -- Connected VPC -- Direct Connect -- Transit Connect -- NSX security basic configuration -- Management Gateway firewall -- Compute Gateway firewall rules -- NSX day two operations -- IPFIX -- Port mirroring -- NSX Micro-Segmentation -- Summary -- Chapter 7: Exploring Integrated Services Configuration -- Configuring the NSX Advanced Firewall service -- The VMware HCX service -- Deploying and activating the HCX service -- Configuring an HCX Layer 2 network extension -- Migrating a workload with HCX -- VMware Aria Operations for Logs -- The Tanzu Kubernetes Grid managed service -- Summary -- Chapter 8: Building Applications and Managing Operations -- Application integration with native AWS services -- Networking between SDDC and native AWS services -- Integrating Amazon ELB with VMware Cloud on AWS -- Integrating Amazon Simple Storage Service -- Integrating Amazon EFS -- Integrating Amazon FSx for Windows File Server -- Integrating AWS Directory Service -- VMware Cloud on AWS operations and monitoring -- VMware Cloud on AWS integrated services -- VMware Aria Operations (formerly vRealize Operations) -- VMware Aria Operations for Logs (formerly vRealize Log Insight) -- VMware Aria Operations for Networks (formerly vRealize Network Insight) -- VMware Cloud on AWS troubleshooting -- SDDC upgrades and maintenance -- Summary -- Chapter 9: Infrastructure as Code with VMware Cloud -- Introduction to the VMware Cloud APIs -- Cloud Services Platform APIs -- VMware Cloud on AWS API -- SDDC APIs (vSphere API) -- Generating CSP API tokens -- Consuming Console APIs via the Developer Center -- NSX-T Data Center REST API -- Leveraging Terraform for VMware Cloud on AWS -- Leveraging PowerCLI for VMware Cloud on AWS -- vSphere Automation SDKs -- Summary -- Chapter 10: VMware Cloud on AWS Outposts…”

Tabla de Contenidos: “…Keeping your favorite loops at the ready -- Types of loops -- Working with Cells -- Editing cells -- Undoing and redoing a loop -- Moving cells -- Recording into a cell -- Adding remix FX -- Recording with the Loop Grid -- Chapter 14 Laying Down Software Instrument Tracks -- What Is MIDI, Anyway? …”

Tabla de Contenidos: “…-- Summary -- Chapter 2: The Unity Editor and Scene Creation -- Technical requirements -- Setting up the Unity development environment -- Installing the Unity Hub -- Installing the Unity Editor -- Loading a sample scene as a new Unity project -- Choosing the right render pipeline -- Getting to know the Unity Editor and its interface -- Exploring the Unity interface -- Using the Grid and Snap system -- Understanding GameObjects and components -- Understanding the default new scene -- Adding a collider -- Creating a basic scene in Unity and adding objects -- Building a table with primitives -- Changing the appearance of the ground, table, and sphere -- Creating a brick wall material -- Unpacking a prefab -- Importing from the Unity Asset Store -- Understanding Unity's lighting pipeline -- Choosing the right lighting settings -- Adding lights and a skybox -- Exploring light and reflection probes -- Summary -- Part 2 - Interactive XR Applications with Custom Logic, Animations, Physics, Sound, and Visual Effects -- Chapter 3: VR Development in Unity -- Technical requirements -- Windows -- macOS -- Linux -- What is VR development? …”

“…This book is a unique effort to illuminate various techniques to represent, improve and authorize multi-institutional and multidisciplinary research in a different type of smart applications, like the financial system, smart grid, transportation system, etc. Readers in identity-privacy, traceability, immutability, transparency, auditability, and security will find it to be a valuable resource. …”

Tabla de Contenidos: “…Explaining the takeShot method -- Coding the boom method -- Drawing the shot on the grid -- Running the game -- Summary -- Chapter 8: Object-Oriented Programming -- Basic object-oriented programming -- Humans learn by doing -- Introducing OOP -- Why do we do it like this? …”

Tabla de Contenidos: “…Considering the Art of Feature Creation -- Defining feature creation -- Combining variables -- Understanding binning and discretization -- Using indicator variables -- Transforming distributions -- Performing Operations on Arrays -- Using vectorization -- Performing simple arithmetic on vectors and matrices -- Performing matrix vector multiplication -- Performing matrix multiplication -- Part 3 Visualizing Information -- Chapter 10 Getting a Crash Course in MatPlotLib -- Starting with a Graph -- Defining the plot -- Drawing multiple lines and plots -- Saving your work to disk -- Setting the Axis, Ticks, Grids -- Getting the axes -- Formatting the axes -- Adding grids -- Defining the Line Appearance -- Working with line styles -- Using colors -- Adding markers -- Using Labels, Annotations, and Legends -- Adding labels -- Annotating the chart -- Creating a legend -- Chapter 11 Visualizing the Data -- Choosing the Right Graph -- Showing parts of a whole with pie charts -- Creating comparisons with bar charts -- Showing distributions using histograms -- Depicting groups using boxplots -- Seeing data patterns using scatterplots -- Creating Advanced Scatterplots -- Depicting groups -- Showing correlations -- Plotting Time Series -- Representing time on axes -- Plotting trends over time -- Plotting Geographical Data -- Using an environment in Notebook -- Getting the Basemap toolkit -- Dealing with deprecated library issues -- Using Basemap to plot geographic data -- Visualizing Graphs -- Developing undirected graphs -- Developing directed graphs -- Part 4 Wrangling Data -- Chapter 12 Stretching Python's Capabilities -- Playing with Scikit-learn -- Understanding classes in Scikit-learn -- Defining applications for data science -- Performing the Hashing Trick -- Using hash functions -- Demonstrating the hashing trick -- Working with deterministic selection…”

Tabla de Contenidos: “…Sparse solutions with L1 regularization -- Sequential feature selection algorithms -- Assessing feature importance with random forests -- Summary -- Chapter 5: Compressing Data via Dimensionality Reduction -- Unsupervised dimensionality reduction via principal component analysis -- The main steps behind principal component analysis -- Extracting the principal components step by step -- Total and explained variance -- Feature transformation -- Principal component analysis in scikit-learn -- Supervised data compression via linear discriminant analysis -- Principal component analysis versus linear discriminant analysis -- The inner workings of linear discriminant analysis -- Computing the scatter matrices -- Selecting linear discriminants for the new feature subspace -- Projecting samples onto the new feature space -- LDA via scikit-learn -- Using kernel principal component analysis for nonlinear mappings -- Kernel functions and the kernel trick -- Implementing a kernel principal component analysis in Python -- Example 1 - separating half-moon shapes -- Example 2 - separating concentric circles -- Projecting new data points -- Kernel principal component analysis in scikit-learn -- Summary -- Chapter 6: Learning Best Practices for Model Evaluation and Hyperparameter Tuning -- Streamlining workflows with pipelines -- Loading the Breast Cancer Wisconsin dataset -- Combining transformers and estimators in a pipeline -- Using k-fold cross-validation to assess model performance -- The holdout method -- K-fold cross-validation -- Debugging algorithms with learning and validation curves -- Diagnosing bias and variance problems with learning curves -- Addressing over- and underfitting with validation curves -- Fine-tuning machine learning models via grid search -- Tuning hyperparameters via grid search -- Algorithm selection with nested cross-validation…”