Tabla de Contenidos: “…: Esa es la cuestión / María del Carmen Romero López , María del Pilar Jiménez Tejada, Francisco González García -- Dilemas sobre energía, tecnología y salud para desarrollar el pensamiento crítico en la formación inicial del profesorado / José Manuel Hierrezuelo Osorio, Vito Battista Brero Peinado , Antonio Joaquín Franco Mariscal -- El actual modelo de producción y consumo de carne como una cuestión socialmente viva: Experiencias en la formación inicial del profesorado / Aurelio Cabello Garrido, Daniel Cebrián Robles, Isabel María Cruz Lorite, Francisco José González García, Enrique España Ramos -- Los juegos de rol en la enseñanza-aprendizaje de las ciencias / Antonio Rueda Serón, Ángel Blanco López , Enrique España Ramos , Vito Battista Brero Peinado -- Juego de rol sobre energía nuclear en la formación inicial de maestras y maestros de primaria / Isabel María Cruz Lorite, Daniel Cebrián Robles, María del Carmen Acebal Expósito, Ángel Blanco López -- Fotosíntesis artificial ¿una disyuntiva a la natural?: Un dilema científico para trabajar la argumentación y el pensamiento crítico en el aula / María del Carmen Acebal Expósito, Juliana Valencia Ruiz, Vito Battista Brero Peinado , Ángel Blanco López -- Destrezas y obstáculos de un futuro docente en el diseño de una secuencia por indagación y modelización sobre los huesos / María Rut Jiménez Liso , Francisco José Castillo Hernández, María Martínez Chico , Rafael López-Gay -- Propuesta formativa sobre indagación para profesorado de física y química en formación inicial / Cristina García Ruiz, Teresa Lupión Cobos , Ángel Blanco López -- Transferencia al profesorado en activo -- La enseñanza de las ciencias basada en el contexto: Visión del profesorado / Teresa Lupión Cobos , Ángel Blanco López -- Ayudando al profesorado a utilizar la indagación y el enfoque steam en el aula de ciencias / Teresa Lupión Cobos , Ángel Blanco López…”
Accés restringit als usuaris de la UB, UAB, UdG, URV, URL, UVic-UCC

Tabla de Contenidos: “…Key downstream impacts on key industries globally -- The use of AI systems with malware -- Cybersecurity, malware, and the socio-economic fabric -- Summary -- Part 2 - The Current State of Key Malware Science AI Technologies -- Chapter 3: Topological Data Analysis for Malware Detection and Analysis -- The mathematics of space and continuous transformations -- A deeper dive into the "shape of the data" -- How TDA creates a multi-dimensional data representation -- Transforming a malware binary into a topological space -- Homology -- Persistence homology distinguishes meaningful patterns from random data fluctuations -- Improving detection algorithms to predict the behavior of new malware -- TDA - comparing and contrasting the persistence diagrams of different software -- Using malware persistence diagrams to classify unknown software -- Persistence homology - filtering noise to find meaningful patterns -- Classifying unknown malware with characteristic persistent features -- Leveraging classification to manage threat response -- A deeper dive - employing TDA for threat management -- Summary -- Chapter 4: Artificial Intelligence for Malware Data Analysis and Detection -- AI techniques used in malware data analysis -- Supervised learning -- Challenges and considerations -- Unsupervised learning -- Deep learning for malware analysis deep learning -- Benefits of AI techniques in malware data analysis -- Challenges in AI-based malware analysis -- Benefits of AI in malware detection -- Enhanced detection accuracy -- Future prospects -- Improved adversarial defense -- Hybrid approaches -- Explainable AI (XAI) -- Summary -- Chapter 5: Behavior-Based Malware Data Analysis and Detection -- Behavior-based malware data analysis -- Data collection -- Behavior analysis -- Behavior-based malware detection…”

Tabla de Contenidos: “…Defining and Measuring Project Success Objectives and Key Results (OKR) Developing an Integrative Approach: Strategy-Execution Measurement Framework Measuring and Showing PMO Value Illuminating PMO Value Sustaining PMO Value: Managing Value Dissipation & Benefits Erosion Next Generation Measures Project Management Artificial Intelligence (AI) How to Develop Measure Intelligence Key Takeaways Chapter 9 Change Change is the catalytic element in the DNA of strategy execution. …”

Tabla de Contenidos: “…The knowledge plane -- 13.2. Artificial intelligence and Software-Defined Networking -- 13.3. …”

Tabla de Contenidos: “….) -- 1.1.1 DISPOSITIVOS MECÁNICOS DE CÁLCULO -- 1.1.2 DISPOSITIVOS ELECTROMECÁNICOS DE CÁLCULO -- 1.1.3 GENERACIONES DE COMPUTADORAS -- 1.2 TERMINOLOGÍA BÁSICA USADA EN INFORMÁTICA Y COMPUTACIÓN -- 1.3 IMPLICACIONES SOCIALES DE LA COMPUTADORA -- 1.4 APLICACIONES DE LA COMPUTACIÓN -- 1.4.1 NEGOCIOS -- 1.4.2 PERSONAL -- 1.4.3 MEDICINA Y CUIDADO DE LA SALUD -- 1.4.4 TELECOMUNICACIONES -- 1.4.5 CONTROL DE PROCESOS -- 1.4.6 EDUCACIÓN -- 1.4.7 INTELIGENCIA ARTIFICIAL -- UNIDAD 2 ESTRUCTURA FÍSICA DE UNA COMPUTADORA -- 2.1 UNIDAD CENTRAL DE PROCESO O CPU -- 2.2 COMPONENTES DEL CPU -- 2.3 DISPOSITIVOS PERIFÉRICOS -- 2.4 UNIDADES DE MEMORIA -- UNIDAD 3 PROCESAMIENTO DE TEXTOS -- 3.1 ELEMENTOS DE LA PANTALLA DE WORD -- UNIDAD 4 ESTRUCTURA LÓGICA DE UNA COMPUTADORA -- 4.1 SISTEMAS NUMÉRICOS -- 4.2 CONVERSIONES ENTRE SISTEMAS CON DIFERENTE BASE -- 4.3 SISTEMA OPERATIVO -- 4.4 VIRUS -- UNIDAD 5 HOJA DE CÁLCULO EXCEL -- 5.1 CARACTERÍSTICAS BÁSICAS DE UNA HOJA DE CÁLCULO -- 5.1.1 CAPTURA Y TIPO DE INFORMACIÓN -- 5.1.2 CAPTURA CON FORMATO -- 5.2 FORMATO EN COLUMNAS Y RENGLONES -- 5.2.1 TAMAÑO DE COLUMNAS -- 5.2.2 TAMAÑO DE RENGLONES -- 5.2.3 ELIMINAR COLUMNAS Y RENGLONES 5.2.4 OCULTAR COLUMNAS Y RENGLONES -- 5.2.4 OCULTAR COLUMNAS Y RENGLONES -- 5.3 COPIAR Y MOVER 5.4 SERIES -- 5.5 FORMATOS 5.6 FÓRMULAS -- 5.6 FÓRMULAS -- 5.6.1 REFERENCIAS ABSOLUTAS Y RELATIVAS PARA CONTINUAR CON LA REFLEXIÓN -- 5.7 FUNCIONES -- 5.7.1 FUNCIÓN IF/SI -- 5.7.2 FUNCIÓN VLOOKUP/BUSCARV -- 5.8 MANEJO DE HOJAS -- 5.8.1 CAMBIAR EL NOMBRE DE LA HOJA -- 5.8.2 MOVER Y COPIAR LAS HOJAS DE UN LIBRO -- 5.8.3 CREAR Y ELIMINAR HOJAS…”

Tabla de Contenidos: “…Achievements: is neuroscience able to explain how to perform sustained assumptions and studies? -- 12.3. Artificial brain: evolution of the simulation models -- 12.4. …”

“…Aims and Scope LANGUAGE AND TECHNOLOGY Language and media, Natural Language Processing, Language and Artificial Intelligence, Corpus Linguistics, Language Education and Technology, Speech and Language Therapy, Language and Cyber Threat, and Related Issues. …”

Tabla de Contenidos: “…6.5 C4.5 Algorithm: Generating Decision Rules 185 -- 6.6 CART Algorithm & Gini Index 189 -- 6.7 Limitations of Decision Trees and Decision Rules 192 -- 6.8 Review Questions and Problems 194 -- 6.9 References for Further Study 198 -- 7 ARTIFICIAL NEURAL NETWORKS 199 -- 7.1 Model of an Artifi cial Neuron 201 -- 7.2 Architectures of ANNs 205 -- 7.3 Learning Process 207 -- 7.4 Learning Tasks Using ANNs 210 -- 7.5 Multilayer Perceptrons (MLPs) 213 -- 7.6 Competitive Networks and Competitive Learning 221 -- 7.7 SOMs 225 -- 7.8 Review Questions and Problems 231 -- 7.9 References for Further Study 233 -- 8 ENSEMBLE LEARNING 235 -- 8.1 Ensemble-Learning Methodologies 236 -- 8.2 Combination Schemes for Multiple Learners 240 -- 8.3 Bagging and Boosting 241 -- 8.4 AdaBoost 243 -- 8.5 Review Questions and Problems 245 -- 8.6 References for Further Study 247 -- 9 CLUSTER ANALYSIS 249 -- 9.1 Clustering Concepts 250 -- 9.2 Similarity Measures 253 -- 9.3 Agglomerative Hierarchical Clustering 259 -- 9.4 Partitional Clustering 263 -- 9.5 Incremental Clustering 266 -- 9.6 DBSCAN Algorithm 270 -- 9.7 BIRCH Algorithm 272 -- 9.8 Clustering Validation 275 -- 9.9 Review Questions and Problems 275 -- 9.10 References for Further Study 279 -- 10 ASSOCIATION RULES 280 -- 10.1 Market-Basket Analysis 281 -- 10.2 Algorithm Apriori 283 -- 10.3 From Frequent Itemsets to Association Rules 285 -- 10.4 Improving the Effi ciency of the Apriori Algorithm 286 -- 10.5 FP Growth Method 288 -- 10.6 Associative-Classifi cation Method 290 -- 10.7 Multidimensional Association-Rules Mining 293 -- 10.8 Review Questions and Problems 295 -- 10.9 References for Further Study 298 -- 11 WEB MINING AND TEXT MINING 300 -- 11.1 Web Mining 300 -- 11.2 Web Content, Structure, and Usage Mining 302 -- 11.3 HITS and LOGSOM Algorithms 305 -- 11.4 Mining Path-Traversal Patterns 310 -- 11.5 PageRank Algorithm 313 -- 11.6 Text Mining 316 -- 11.7 Latent Semantic Analysis (LSA) 320 -- 11.8 Review Questions and Problems 324 -- 11.9 References for Further Study 326.…”

Tabla de Contenidos: “…Azure Key Vault secrets in ARM templates -- Azure Storage Service Encryption -- Azure Disk Encryption -- Azure SQL Database Security -- Azure Active Directory Managed Service Identity -- Summary -- Questions -- Further reading -- Chapter 11: Governance and Policies -- Technical requirements -- Azure Role-Based Access Control -- Built-in Roles -- Custom Roles -- Creating a Custom Role -- Azure Resource Policies -- Azure AD Privileged Identity Management -- Azure AD Identity Protection -- Azure Security Center -- Advanced Threat Detection -- Azure Endpoint Protection -- Operations Management Suite - Security and Compliance -- Summary -- Questions -- Further reading -- Chapter 12: Artificial Intelligence, IoT, and Media Services -- Technical requirements -- Azure Cognitive Services -- Available services and APIs -- Using the Computer Vision API -- Azure Bot Service -- Creating a Bot from the Azure Portal -- Azure Machine Learning -- Azure IoT Hub -- Azure Event Hub -- Azure IoT Edge -- Azure Stream Analytics -- Azure Time Series Insights -- Azure Media Services -- Azure Media Analytics -- Using the Azure Media Analytics Indexer -- Summary -- Questions -- Further reading -- Chapter 13: Implementing Messaging Solutions -- Technical requirements -- Azure Queue Storage -- Azure Service Bus -- Azure Event Grid -- Routing Events with Azure Event Grid -- Notification Hubs -- Designing an effective messaging architecture -- Summary -- Questions -- Further reading -- Chapter 14: Application Monitoring and Alerting Strategies -- Azure Log Analytics -- Creating a Log Analytics Workspace -- Azure Monitor -- Application Insights -- Azure Service Health -- Azure Advisor -- Address Recommendation from Azure Advisor -- Azure Network Watcher -- Summary -- Questions -- Further reading -- Chapter 15: Exploring Operations Automation Strategies…”

“…What You Will Learn Discover new designers tools included in Dynamics 365 CRM Develop apps using the platform-agnostic Web API Leverage Azure Extensions to design cloud-aware applications Learn how to implement CRUD operation Create integrated real-world apps using Microsoft PowerApps and Flow by combining services such as Twitter, Facebook, and SharePoint Configure and use Artificial Intelligence Azure Cognitive Services for Recommendation and Text Analytic services In Detail Microsoft Dynamics 365 CRM is the most trusted name in enterprise-level customer relationship management. …”

Tabla de Contenidos: “…-- Trade Finance Ecosystem -- Trade Finance Functional Architecture -- Case Study: Collateral Management -- Collateral Management Functional Architecture -- Collateral Management Architecture -- Microservices and User Interface: Micro Front End -- Routing -- Composition -- Communication -- Pros and Cons of Micro Front Ends -- Microservice Architecture in Artificial Intelligence -- AI Subcategories -- Microservices Vertical Components: Speech AI -- Summary -- Chapter 6: Event-Driven Architecture -- Evolution of Event-Driven Architecture -- Tightly Coupled World to Loosely Coupled World -- Message Broker World to Event World -- Event -- Business Events -- Technical Events -- Processing an Event -- Event Handling in Domain Context -- Event Governance -- What Is Event-Driven Architecture? …”

Tabla de Contenidos: “…-- Alignment of Interests -- Recruit the Right Advisors Early -- Allocate Enough Resources -- Every Interaction Is a Negotiation13 -- If It Can Go Wrong, It Will Go Wrong -- Chapter 9 Buy-Side Representation -- Buyer Clients -- Strategy -- The Filter -- Financing -- Quality of Earnings -- Coordination -- Integration -- Chapter 10 Technology in the M&amp -- A Process -- Virtual Data Room -- Market Insight and Data -- Deal Sourcing and Exchanges -- Due Diligence Software -- Project Management Software -- Comprehensive M&amp -- A Software -- Supporting Tools -- Artificial Intelligence and Technology Trends -- Technology Providers -- Chapter 11 Professional Standards and Ethics -- Holistic Advice -- Ethical and Professional Standards -- Competence and Professionalism (Reputation) -- Best Practices (Activities) -- Ethics (Behavioral Boundaries) -- The Middle Market Standard -- Part 4 M&amp -- A Technical Discussions -- Chapter 12 Financial Analysis -- Financial Reporting Motivation -- EBITDA -- Balance Sheet Analysis -- Working Capital -- Normalization -- Chapter 13 Market Valuation -- Reasons for Appraisal -- Determine the Value Subworld -- Calculate the Benefit Stream -- Synergies -- Determine Private Return Expectation -- Specific Investor Return -- General Acquisition Selling Multiples -- Derive Value -- Chapter 14 Deal Structure -- Structural Priorities -- Business and Economic Terms -- Tax Structure -- Legal Structure -- Mergers…”

Tabla de Contenidos: “…., mild, moderate and advanced) -- 4.2.3.3 Analysis of REMPARK utility for PD patients -- 4.2.4 Discussion and Conclusive Remarks -- 4.3 Methodology and Database to Monitor Motor Symptoms -- 4.3.1 An Artificial Intelligence Approach and the Need of Relevant Data -- 4.3.2 Protocol for the Database Construction -- 4.3.3 Gathered Database Description -- 4.4 Algorithmic Approach and Results -- 4.4.1 Dyskinesia Detection Algorithm -- 4.4.2 Bradykinesia Detection Algorithm -- 4.4.3 Tremor Detection Algorithm -- 4.4.4 Freezing of Gait (FOG) Detection Algorithm -- 4.4.5 Gait Parameters Estimation -- 4.4.6 Fall Detection Algorithm -- 4.4.7 ON/OFF Motor State Estimation -- 4.5 Conclusions -- References -- Chapter 5 - Sensor Sub-System -- 5.1 Introduction -- 5.2 Sensor's Data Processing Flow -- 5.3 Hardware Requirements -- 5.3.1 Memory Requirements -- 5.3.2 Sampling Frequency and Full-Scale Values -- 5.3.3 Time Restrictions on the On-Line Implementation -- 5.4 Sensor Device Components -- 5.4.1 Microcontroller -- 5.4.2 Accelerometer Details -- 5.4.3 Bluetooth Module -- 5.4.4 Power Management -- 5.4.5 External Memory Unit -- 5.5 Sensor Casing and Operation -- 5.6 Conclusion -- References -- Chapter 6 - User Interaction -- 6.1 Introduction -- 6.2 State of the Art/Competitive Analysis -- 6.3 Interaction Guidelines for Users with Parkinson's Disease -- 6.4 User Research and User-Centred Design Processes -- 6.5 Final Usability Tests -- 6.5.1 Research Questions -- 6.5.2 Sample…”

“…Your guide to the functional programming paradigm Functional programming mainly sees use in math computations, including those used in Artificial Intelligence and gaming. This programming paradigm makes algorithms used for math calculations easier to understand and provides a concise method of coding algorithms by people who aren't developers. …”

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 Discovering Deep Learning -- Chapter 1 Introducing Deep Learning -- Defining What Deep Learning Means -- Starting from Artificial Intelligence -- Considering the role of AI -- Focusing on machine learning -- Moving from machine learning to deep learning -- Using Deep Learning in the Real World -- Understanding the concept of learning -- Performing deep learning tasks -- Employing deep learning in applications -- Considering the Deep Learning Programming Environment -- Overcoming Deep Learning Hype -- Discovering the start-up ecosystem -- Knowing when not to use deep learning -- Chapter 2 Introducing the Machine Learning Principles -- Defining Machine Learning -- Understanding how machine learning works -- Understanding that it's pure math -- Learning by different strategies -- Training, validating, and testing data -- Looking for generalization -- Getting to know the limits of bias -- Keeping model complexity in mind -- Considering the Many Different Roads to Learning -- Understanding there is no free lunch -- Discovering the five main approaches -- Delving into some different approaches -- Awaiting the next breakthrough -- Pondering the True Uses of Machine Learning -- Understanding machine learning benefits -- Discovering machine learning limits -- Chapter 3 Getting and Using Python -- Working with Python in this Book -- Obtaining Your Copy of Anaconda -- Getting Continuum Analytics Anaconda -- Installing Anaconda on Linux -- Installing Anaconda on MacOS -- Installing Anaconda on Windows -- Downloading the Datasets and Example Code -- Using Jupyter Notebook -- Defining the code repository -- Getting and using datasets -- Creating the Application…”

“…The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. …”

Tabla de Contenidos: “…Create the Crab Sprite -- 19. Create the Enemy Artificial Intelligence -- 20. Add the Time's Up Sprite -- Summary -- Review Questions -- Where to go From Here -- Index -- Resources -- Don't Just Play Games-Make Them!…”

Tabla de Contenidos: “…-- A Branded World -- Understanding Consumers Is Good Business -- Consumers, Society, and Technology: A Moving Target -- Social Media: The Horizontal Revolution -- Artificial Intelligence and The Metaverse -- "Big Data" and Data Analytics -- Welcome to the Metaverse! …”

Tabla de Contenidos: “…Cover -- Contents -- Preface -- From Object Orientation to Patterns to True Object Orientation -- From Artificial Intelligence to Patterns to True Object Orientation -- A Note About Conventions Used in This Book -- Feedback -- New in the Second Edition -- Acknowledgments -- PART I: An Introduction to Object-Oriented Software Development -- Chapter 1 The Object-Oriented Paradigm -- Overview -- Before the Object-Oriented Paradigm: Functional Decomposition -- The Problem of Requirements -- Dealing with Changes: Using Functional Decomposition -- Dealing with Changing Requirements -- The Object-Oriented Paradigm -- Object-Oriented Programming in Action -- Special Object Methods -- Summary -- Review Questions -- Chapter 2 The UML-The Unified Modeling Language -- Overview -- What Is the UML? …”

Tabla de Contenidos: “…-- The argument from self-interest -- The argument from practical effects -- The argument from reason -- Is not the artificial prolongation of the life of a terminally ill patient 'playing god'? …”