Tabla de Contenidos: “…II Engineering IoT Networks -- ch. 3 Smart Objects: The "Things" in IoT -- Sensors, Actuators, and Smart Objects -- Sensors -- Actuators -- Micro-Electro-Mechanical Systems (MEMS) -- Smart Objects -- Smart Objects: A Definition -- Trends in Smart Objects -- Sensor Networks -- Wireless Sensor Networks (WSNs) -- Communication Protocols for Wireless Sensor Networks -- Summary -- ch. 4 Connecting Smart Objects -- Communications Criteria -- Range -- Frequency Bands -- Power Consumption -- Topology -- Constrained Devices -- Constrained-Node Networks -- Data Rate and Throughput -- Latency and Determinism -- Overhead and Payload -- IoT Access Technologies -- IEEE 802.15.4 -- Standardization and Alliances -- Physical Layer -- MAC Layer -- Topology -- Security -- Competitive Technologies -- IEEE 802.15.4 Conclusions -- IEEE 802.15.4g and 802.15.4e -- Standardization and Alliances -- Physical Layer -- MAC Layer -- Topology -- Security -- Competitive Technologies -- IEEE 802.15.4g and 802.15.4e Conclusions -- IEEE 1901.2a -- Standardization and Alliances -- Physical Layer -- MAC Layer -- Topology -- Security -- Competitive Technologies -- IEEE 1901.2a Conclusions -- IEEE 802.1 lah -- Standardization and Alliances -- Physical Layer -- MAC Layer -- Topology -- Security -- Competitive Technologies -- IEEE 802.1 lah Conclusions -- LoRaWAN -- Standardization and Alliances -- Physical Layer -- MAC Layer -- Topology -- Security -- Competitive Technologies -- LoRaWAN Conclusions -- NB-IoT and Other LTE Variations -- Standardization and Alliances -- LTE Cat 0 -- LTE-M -- NB-IoT -- Topology -- Competitive Technologies -- NB-IoT and Other LTE Variations Conclusions -- Summary -- ch. 5 IP as the IoT Network Layer -- The Business Case for IP -- The Key Advantages of Internet Protocol -- Adoption or Adaptation of the Internet Protocol -- The Need for Optimization -- Constrained Nodes -- Constrained Networks -- IP Versions -- Optimizing IP for IoT -- From 6LoWPAN to 6Lo -- Header Compression -- Fragmentation -- Mesh Addressing -- Mesh-Under Versus Mesh-Over Routing -- 6L0 Working Group -- 6TiSCH -- RPL -- Objective Function (OF) -- Rank -- RPL Headers -- Metrics -- Authentication and Encryption on Constrained Nodes -- ACE -- DICE -- Profiles and Compliances -- Internet Protocol for Smart Objects (IPSO) Alliance -- Wi-SUN Alliance -- Thread -- IPv6 Ready Logo -- Summary -- ch. 6 Application Protocols for IoT -- The Transport Layer -- IoT Application Transport Methods -- Application Layer Protocol Not Present -- SCADA -- A Little Background on SCADA -- Adapting SCADA for IP -- Tunneling Legacy SCADA over IP Networks -- SCADA Protocol Translation -- SCADA Transport over LLNs with MAP-T -- Generic Web-Based Protocols -- IoT Application Layer Protocols -- CoAP -- Message Queuing Telemetry Transport (MQTT) -- Summary -- ch. 7 Data and Analytics for IoT -- An Introduction to Data Analytics for IoT -- Structured Versus Unstructured Data -- Data in Motion Versus Data at Rest -- IoT Data Analytics Overview -- IoT Data Analytics Challenges -- Machine Learning -- Machine Learning Overview -- Supervised Learning -- Unsupervised Learning -- Neural Networks -- Machine Learning and Getting Intelligence from Big Data -- Predictive Analytics -- Big Data Analytics Tools and Technology -- Massively Parallel Processing Databases -- NoSQL Databases -- Hadoop -- YARN -- The Hadoop Ecosystem -- Apache Kafka -- Lambda Architecture -- Edge Streaming Analytics -- Comparing Big Data and Edge Analytics -- Edge Analytics Core Functions -- Distributed Analytics Systems -- Network Analytics -- Flexible NetFlow Architecture -- FNF Components -- Flexible NetFlow in Multiservice IoT Networks -- Summary -- References -- ch. 8 Securing IoT -- A Brief History of OT Security -- Common Challenges in OT Security -- Erosion of Network Architecture -- Pervasive Legacy Systems -- Insecure Operational Protocols -- Modbus -- DNP3 (Distributed Network Protocol) -- ICCP (Inter-Control Center Communications Protocol) -- OPC (OLE for Process Control) -- International Electrotechnical Commission (IEC) Protocols -- Other Protocols -- Device Insecurity -- Dependence on External Vendors -- Security Knowledge -- How IT and OT Security Practices and Systems Vary -- The Purdue Model for Control Hierarchy -- OT Network Characteristics Impacting Security -- Security Priorities: Integrity, Availability, and Confidentiality -- Security Focus -- Formal Risk Analysis Structures: OCTAVE and FAIR -- OCTAVE -- FAIR -- The Phased Application of Security in an Operational Environment -- Secured Network Infrastructure and Assets -- Deploying Dedicated Security Appliances -- Higher-Order Policy Convergence and Network Monitoring -- Summary -- pt. …”

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“…Cederrón de sencillo manejo que permite usar de forma interactiva los datos estadísticos, elaborando rankings, comparaciones y combinaciones de datos, e imprimir o exportar la información obtenida a cualquier otra aplicación en diferentes formatos…”

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“…La Universidad Pontificia de Salamanca se sitúa entre las tres mejores universidades de España (primera de Castilla y León) en "Enseñanza y aprendizaje", en el prestigioso ranking CYD, elaborado por la Fundación Conocimiento y Desarrollo…”
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“…"ChemPhotoChem is aimed to become a top-ranking photochemistry journal for primary research papers and critical secondary information from authors across the world. …”

“…Creators of the Thinkers50--the world's most respected ranking of business thinkers--Des Dearlove and Stuart Crainer bring you the very latest from India's leading business thinkers. …”

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“…Why you'd better not rely on the college rankings! A cautionary tale ... and a better way to find the right college for your child."…”

“…In 2007, Minister Ronnie Kasrils, the highest-ranking Jew in South Africa's post-apartheid government, launched a campaign against Israeli policy in the occupied territories. …”

Tabla de Contenidos: “…¿TIR y VAN producen el mismo ranking de proyectos?…”

Tabla de Contenidos: “…Real Time Bidding (RTB) -- 7.3.8 CRM-Targeting oder internes Targeting -- 7.3.9 Targeting nach der DSGVO -- 7.4 Haftung für Seiten, auf denen die Werbung eingeblendet wird -- 7.5 Hersteller-Vorgaben für das Online-Marketing -- 7.5.1 Preisvorgaben des Herstellers -- 7.5.2 Plattformverbote -- 7.5.3 Verbot bestimmter Online-Marketing-Maßnahmen -- 7.6 Klick-Betrug -- 7.7 Besonderheiten des Mobile Marketing -- 7.7.1 Besonderheiten bei Pflichtangaben -- 7.7.2 Push-Nachrichten -- 7.7.3 Bluetooth-Nachrichten -- 7.7.4 Location Based Ads -- 7.7.5 Mobile Targeting -- 7.7.6 Besonderheiten bei der Werbung mit/in Apps -- Kapitel 8: Suchmaschinen-Werbung -- 8.1 SEO - Suchmaschinen-Optimierung -- 8.1.1 Grundlagen -- 8.1.2 Google-Richtlinien -- 8.1.3 Meta-Tags, URLs und Hidden Content -- 8.1.4 Snippets -- 8.1.5 Interne Suchmaschinen -- 8.1.6 Doorway-Pages, SEO-Seiten und Cloaking -- 8.1.7 Linkbuilding -- 8.1.8 Negative SEO -- 8.1.9 Recht auf Vergessen -- 8.2 Rechtsfragen bei der Suche in Plattformen -- 8.2.1 Die Produktseite bei Amazon -- 8.2.2 Conversion-Rate als Ranking-Faktor -- 8.3 SEA - Google AdWords -- 8.3.1 Funktionsweise von Google AdWords -- 8.3.2 Fremde Marken oder Namen als Keywords -- 8.3.3 Fremde Marken oder Namen in der Anzeige selbst -- 8.3.4 Berechtigung zur Nutzung der Marke -- 8.3.5 Google-Markenbeschwerde und Pflicht der Brand zu Duldung von AdWords -- 8.3.6 Sonderfälle -- 8.3.7 Gestaltung der Werbeanzeige -- 8.4 Preissuchmaschinen -- 8.4.1 Aktualität von Preissuchdiensten -- 8.4.2 Versandkosten und Preissuche -- 8.4.3 Preissuche in Portalen…”

Tabla de Contenidos: “…-- 9.2 Hyperparameter Optimization Techniques -- 9.2.1 Model-Free Algorithms -- 9.2.1.1 Trial-and-Error (Manual Testing) -- 9.2.1.2 Grid Search -- 9.2.1.3 Random Search -- 9.2.2 Gradient-Based Optimization -- 9.2.3 Bayesian Optimization -- 9.2.4 Multifidelity Optimization -- 9.2.4.1 Successive Halving -- 9.2.4.2 Hyperband -- 9.2.5 Metaheuristic Algorithms -- 9.2.5.1 Genetic Algorithm -- 9.2.5.2 Particle Swarm Optimization -- 9.3 Challenges in Hyperparameter Optimization -- 9.4 Concluding Remarks -- References -- Chapter 10 Accuracy Assessment and Model Explainability -- 10.1 Accuracy Assessment -- 10.1.1 Sampling Scheme and Spatial Autocorrelation -- 10.1.2 Sample Size, Scale, and Spatial Variability -- 10.1.3 Adequacy of Training and Testing Data -- 10.1.4 Conventional Accuracy Analysis -- 10.1.5 Accuracy Analysis for Machine Learning -- 10.1.6 Fuzzy Accuracy Assessment -- 10.1.7 Object-Based Accuracy Assessment -- 10.2 Comparison of Thematic Maps -- 10.2.1 McNemar's Test -- 10.2.2 z-Test -- 10.2.3 Wilcoxon Signed-Ranks Test -- 10.2.4 5×2-Cross-Validation t-Test -- 10.2.5 Friedman Test -- 10.3 Explainability Methods -- 10.3.1 SHapley Additive exPlanations -- 10.3.2 Partial Dependence Plot -- 10.3.3 Pairwise Interaction Importance -- 10.3.4 Permutation-Based Feature Importance…”