Tabla de Contenidos: “…SNR simulations in AWGN channel 3.4 WiFi OFDM and mobile WiMAX signals PAPR 3.5 Transmitter impairments simulation 3.5.1 Introduction 3.5.2 DAC clipping and resolution 3.5.3 I&Q mismatch 3.5.4 RF oscillator phase noise 3.5.5 Power amplifier distortion 3.5.6 Transmitter complete simulation 3.6 Receiver impairments simulation 3.6.1 Introduction 3.6.2 Carrier Frequency Offset 3.6.3 Sampling Frequency Offset 3.6.4 Linearity: IIP2 and IIP3 3.6.5 I&Q mismatch 3.6.6 RF oscillator phase noise and reciprocal mixing 3.6.7 Sampling jitter 3.6.8 ADC clipping and resolution 3.6.9 Receiver complete simulation 3.7 Adaptive modulation illustration 3.8 Summary 4 Chapter 4: Digital Compensation of RF analog Impairments 4.1 Introduction 4.2 Carrier Frequency Offset Estimation and Correction 4.2.1 CFO estimation principle 4.2.2 CFO estimation in time domain 4.2.3 CFO estimation in frequency domain 4.2.4 CFO correction 4.3 Sampling Frequency Offset Estimation and Correction 4.3.1 SFO estimation principle 4.3.2 SFO estimation 4.3.3 SFO correction 4.3.4 Joint SFO and CFO estimation 4.4 IQ mismatch estimation and correction 4.4.1 Principle 4.4.2 Effect of the channel 4.4.3 Simulation results 4.5 Power Amplifier Linearization 4.5.1 Digital Predistortion Principle 4.5.2 Memory polynomial predistortion 4.5.3 Polynomial coefficients computation 4.5.4 Simulation results 4.6 Summary …”

Tabla de Contenidos: “…Cover -- Copyright and Credits -- Dedication -- Packt Upsell -- Foreword -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Mobile TensorFlow -- Setting up TensorFlow -- Setting up TensorFlow on MacOS -- Setting up TensorFlow on GPU-powered Ubuntu -- Setting up Xcode -- Setting up Android Studio -- TensorFlow Mobile vs TensorFlow Lite -- Running sample TensorFlow iOS apps -- Running sample TensorFlow Android apps -- Summary -- Chapter 2: Classifying Images with Transfer Learning -- Transfer learning - what and why -- Retraining using the Inception v3 model -- Retraining using MobileNet models -- Using the retrained models in the sample iOS app -- Using the retrained models in the sample Android app -- Adding TensorFlow to your own iOS app -- Adding TensorFlow to your Objective-C iOS app -- Adding TensorFlow to your Swift iOS app -- Adding TensorFlow to your own Android app -- Summary -- Chapter 3: Detecting Objects and Their Locations -- Object detection-a quick overview -- Setting up the TensorFlow Object Detection API -- Quick installation and example -- Using pre-trained models -- Retraining SSD-MobileNet and Faster RCNN models -- Using object detection models in iOS -- Building TensorFlow iOS libraries manually -- Using TensorFlow iOS libraries in an app -- Adding an object detection feature to an iOS app -- Using YOLO2-another object-detection model -- Summary -- Chapter 4: Transforming Pictures with Amazing Art Styles -- Neural Style Transfer - a quick overview -- Training fast neural-style transfer models -- Using fast neural-style transfer models in iOS -- Adding and testing with fast neural transfer models -- Looking back at the iOS code using fast neural transfer models -- Using fast neural-style transfer models in Android -- Using the TensorFlow Magenta multi-style model in iOS…”

Tabla de Contenidos: “…Chapter 3: ChatGPT Mastery - Unlocking Its Full Potential -- Technical requirements -- Mastering the ChatGPT interface -- The Free and Plus versions of ChatGPT -- ChatGPT interface -- GPTs -- Exploring OpenAI Playground -- Getting started -- UI features -- Pricing for API and Playground -- Learning to use the ChatGPT API -- Getting started -- Calling the API directly -- Setting up with the OpenAI Python library -- Setting up with the OpenAI Node.js library -- Other ChatGPT libraries -- Summary -- Further reading -- Chapter 4: Prompt Engineering with ChatGPT -- Technical requirements -- Going through the concepts of prompt engineering -- Understanding the core components of a successful prompt -- Instruction -- Context -- Scope -- Role -- Audience -- Input data -- Output data -- Conclusion -- Working with a prompt engineering strategy -- Define clear goals -- Employ iterative prompt development -- Start simple -- Use follow-up prompts to test against multiple examples -- Use temperature when you need to -- Handling memory limitations in ChatGPT -- Conclusion -- Knowing the prompt engineering techniques -- Few-shot learning for a customer support chatbot -- Prompting to summarize data for a conversational agent -- Prompting to create your own chatbot powered by ChatGPT -- Summary -- Further reading -- Chapter 5: Getting Started with LangChain -- Technical requirements -- Introduction to LangChain -- LangChain libraries -- Core components of LangChain -- Working with LLMs in LangChain -- Prompt templates -- Using output parsers -- Understanding LangChain Expression Language -- What is LCEL? …”

Tabla de Contenidos: “…Time-Series Data -- Time-Series Analysis and Forecasting -- Memory Requirements -- More Storage -- More RAM -- Case Study: Gathering the Real-Time Industry Data -- Storing Collected Data Using Pandas -- Dataframes -- Saving Data as a CSV File -- Saving as an Excel File -- Reading Saved Data Files -- Adding the Date and Time to the Real-Time Data -- Industry Data from the Temperature and Humidity Sensor -- Chapter 5: Preparing the Data -- Pandas and Data Structures -- Installing and Using Pandas -- Pandas Data Structures -- Series -- DataFrame -- Reading Data -- Reading CSV Data -- Reading Excel Data -- Reading URL Data -- Cleaning the Data -- Handling Missing Values -- Handling Outliers -- Z-Score -- Filtering Out Inappropriate Values -- Removing Duplicates -- Chapter 6: Visualizing the Data -- Matplotlib Library -- Scatter Plot -- Line Plot -- Histogram -- Bar Chart -- Pie Chart -- Other Plots and Packages -- Chapter 7: Analyzing the Data -- Exploratory Data Analysis -- Choosing a Dataset -- Modifying the Columns in the Dataset -- Statistical Analysis -- Uniform Distribution -- Binomial Distribution -- Normal Distribution -- Statistical Analysis of Boston Housing Price Dataset -- Chapter 8: Learning from Data -- Forecasting from Data Using Regression -- Linear Regression using Scikit-Learn -- Principal Component Analysis -- Outlier Detection Using K-Means Clustering -- Chapter 9: Case Studies -- Case Study 1: Human Emotion Classification -- Methodology -- Dataset -- Interfacing the Raspberry Pi with MindWave Mobile via Bluetooth -- Data Collection Process -- Features Taken from the Brain Wave Signal -- Unstructured Data to Structured Dataset -- Exploratory Data Analysis from the EEG Data -- Classifying the Emotion Using Learning Models -- Case Study 2: Data Science for Image Data -- Exploratory Image Data Analysis…”

Tabla de Contenidos: “…The quest for data quality -- Documentation and cataloging - the unsung heroes of governance -- Understanding the path of data -- Regulatory compliance and audit preparedness -- Change management and impact analysis -- Upholding data quality -- Troubleshooting and analysis -- Navigating the intricacy and the anatomy of ML governance -- ML governance pillars -- Model interpretability -- The many facets of ML development -- Beyond training - model deployment and monitoring -- A guide to architectural governance -- The five pillars of architectural governance -- Transformative architectural principles -- Zooming in on architectural dimensions -- Summary -- Chapter 15: Navigating Real-World Data Science Case Studies in Action -- Introduction to the COMPAS dataset case study -- Understanding the task/outlining success -- Preliminary data exploration -- Preparing the data for modeling -- Final thoughts -- Text embeddings using pretrainedmodels and OpenAI -- Setting up and importing necessary libraries -- Data collection - fetching the textbook data -- Converting text to embeddings -- Querying - searching for relevant information -- Concluding thoughts - the power of modern pre-trained models -- Summary -- Index -- About Packt -- Other Books You May Enjoy…”

Tabla de Contenidos: “…Implementing token-based authentication -- Checking Swagger UI -- Summary -- Chapter 10: Performance Enhancement with Redis -- Technical requirements -- In-memory caching in ASP.NET Core -- Enabling in-memory caching in ASP.NET Core -- Distributed caching -- Setting up and running Redis -- For Windows users -- For macOS users -- For Linux or Ubuntu users -- Implementing Redis in ASP.NET Core 5 -- Code update -- Summary -- Section 3: Frontend Development -- Chapter 11: Vue.js Fundamentals in a Todo App -- Technical requirements -- Starting a project using the Vue CLI -- Files and folders generated by the Vue CLI -- Getting started with a Vue component -- Writing a Vue component -- Common features in a Vue component -- Writing local states in a Vue component -- Adding a function in a Vue component -- Looping in an array in a Vue component -- If-else conditions in a Vue component -- Creating and passing props -- Life cycle hooks in a Vue component -- Summary -- Further reading -- Chapter 12: Using a UI Component Library and Creating Routes and Navigations -- Technical requirements -- Using a third-party UI component library -- Setting up a Vue.js project and installing a UI component library -- Other third-party UI libraries -- Adding navigation bars -- Writing page components -- Setting up Vue Router with lazy loading and eager loading -- Summary -- Chapter 13: Integrating a Vue.js Application with ASP.NET Core -- Technical requirements -- Putting ASP.NET Core Web API and a Vue.js app together as a single unit -- Introducing Cross-Origin Resource Sharing or CORS -- Enabling a CORS policy in ASP.NET Core -- Summary -- Chapter 14: Simplifying State Management with Vuex and Sending GET HTTP Requests -- Technical requirements -- Understanding complex state management -- Understanding global state -- Sending an HTTP request in Vue.js…”

Tabla de Contenidos: “…. -- How it works... -- Formulating a linear regression model -- Getting ready -- How to do it... -- How it works... -- There's more... -- Assigning the priors -- Defining the support -- How to decide the parameters for a prior -- Getting ready -- How to do it... -- How it works... -- Doing MCMC the manual way -- Getting ready -- How to do it... -- How it works... -- Evaluating convergence with CODA -- One or multiple chains? …”

Tabla de Contenidos: “…Building hash functions -- 13.4. Linear open addressing -- 13.4.1. Operations on linear open addressed hash tables -- 13.4.2. …”

Tabla de Contenidos: “…Chapter 3: Java EE Basics - Persistence, Query, and Presentation -- The business scenario - movie ticket system -- Business entities of the system -- Organizing projects in Eclipse -- Creating the StoreBO project -- Generating classes from database tables -- Creating named queries -- Tweaking the persistence.xml file -- Packing the project -- The Store web project -- Adding references to PrimeFaces' shared library -- Adding references to StoreBO -- Referencing the persistence configuration file -- Creating a named bean -- Configuring the Web descriptor -- Defining the test page -- Deploying and testing the application -- Web resources -- Summary -- Chapter 4: Creating RESTful Services with JAX-RS -- Creating Theater entities -- Customizing the generated entities -- Creating named queries -- Preventing cyclic references -- Formatting exhibitions' date and time -- Completing the persistence.xml file -- Packaging the library -- Creating the Theater web application -- Setting up the project -- Enabling JAX-RS -- Exposing RESTful Services through JAX-RS -- Coding the API -- Testing the web service -- Creating the REST client -- Configuring JAX-RS client libraries and optional package -- Creating the web service consumer -- Updating the SearchManager bean -- Updating the query page -- Structuring the web application -- Applying templates through Facelets -- Creating an entity listing page -- Web resources -- Summary -- Chapter 5: Singleton Bean, Validations, and SOAP Web Services -- Using bean validation -- About built-in constraints -- Combining and grouping validation rules -- Creating a custom constraint -- Coding a constraint validator -- Showing validation messages -- Using the message component -- PrimeFaces's Growl -- Dealing with null and empty strings on JSF components -- Singleton session beans -- Implementing a singleton session bean…”

Tabla de Contenidos: “…Practical Error Bounds. -- 6.5 Error Estimation in Quantities of Interest -- 6.5.1 Recovery-based Estimates for the Error in Quantities of Interest -- 6.5.2 The Stress Intensity Factor as QoI: Error Estimation -- References -- 7 -FEM: An Efficient Simulation Tool Using Simple Meshes for Problems in Structure Mechanics and Heat Transfer -- 7.1 Introduction -- 7.2 Linear Elasticity -- 7.2.1 Dirichlet Conditions -- 7.2.2 Mixed Boundary Conditions -- 7.3 Linear Elasticity with Multiple Materials -- 7.4 Linear Elasticity with Cracks -- 7.5 Heat Equation -- 7.6 Conclusions and Perspectives -- References -- 8 eXtended Boundary Element Method (XBEM) for Fracture Mechanics and Wave Problems -- 8.1 Introduction…”

Tabla de Contenidos: “…Acknowledgements -- References -- Part I: Wave Energy Converter Modelling Techniques Based on Linear Hydrodynamic Theory -- Chapter 2: Frequency-Domain Models -- 2.1. …”

Tabla de Contenidos: “…Linear Reference Pattern -- 3.20.1. Linear Data Offset -- 3.20.2. …”

Tabla de Contenidos: “…Setting up the examples environment -- 7.1 OS/400 libraries -- 7.1.1 Download and set up the libraries -- 7.1.2 EMPLIB library -- 7.1.3 AUTOBODY library -- 7.2 Domino databases -- 7.2.1 Autobody demo database (autobodydemo.nsf) -- 7.2.2 Case files database (casefile.nsf) -- 7.2.3 Employee database (employee.nsf) -- 7.2.4 Medical records database (medrec.nsf) -- Chapter 8. …”

Acceso restringido usuarios UPSA

“…En las últimas tres décadas, Berenguer ha hecho posible la observación del teatro contemporáneo sin tener que aislar su representación de la actividad biológica del creador. …”

“…Estas aparecen en este libro de un modo sorprendente: en el impactante primer capítulo, el filósofo se presenta en carne viva para hablar de su infancia: "Fallecí a la edad de diez años, una bella tarde de otoño..." …”

“…Otrora, el enviado de un periódico, agencia o cadena de televisión, disponía de cierto margen y podía dar libre curso a su iniciativa. Buscaba la información, la descubría, la verificaba, la seleccionaba y le daba forma según su talento y el tiempo disponible. …”

“…Vigilado por desconocidos a través de binoculares mientras investiga el caso, Palmer se frustra por las pocas ganas de hablar de los lugareños, infinitas rondas de bebida en la taberna local, separatistas que lo secuestran, policías que lo esposan por error, un coche que explota en mil pedazos... y por el misterioso Ange Leoni, que concierta citas secretas con él pero nunca aparece. …”

“…Esta trabajo de investigacion tiene como propósito conocer y comprender el modo en que dos grupos de jóvenes, de entre 15 y 17 anos de dos espacios sociales diferentes (delimitados por el barrio y escuela a la que concurren) de la ciudad de Villa Mercedes construyen sus representaciones sociales de violencia a partir de sus lecturas sobre las noticias televisivas referidas a un hecho puntual: La tragedia de Cromanon. Al hablar de lecturas nos referimos a que el estudio se centrara en la recepcion, linea de investigacion que recientemente ha adquirido gran relevancia en el campo de la Comunicacion…”

“…Y a través de la Escuela de Frankfurt, al menos a título de una comunidad de intereses. ¿Se puede hablar de un paralelismo entre Marx y Foucault? ¿Acaso forjaron herramientas críticas complementarias contra la sujeción capitalista? …”