Tabla de Contenidos: “…14.1 Introduction 347 -- 14.2 Data-Driven Intelligent Transportation Systems 348 -- 14.3 Mission-Critical Computing Requirements of Smart Transportation Applications 351 -- 14.4 Fog Computing for Smart Transportation Applications 354 -- 14.5 Case Study: Intelligent Traffic Lights Management (ITLM) System 359 -- 14.6 Fog Orchestration Challenges and Future Directions 362 -- 14.7 Future Research Directions 364 -- 14.8 Conclusions 369 -- References 370 -- 15 Testing Perspectives of Fog-Based IoT Applications 373 / Priyanka Chawla and Rohit Chawla -- 15.1 Introduction 373 -- 15.2 Background 374 -- 15.3 Testing Perspectives 376 -- 15.4 Future Research Directions 393 -- 15.5 Conclusions 405 -- References 406 -- 16 Legal Aspects of Operating IoT Applications in the Fog 411 / G. …”

Tabla de Contenidos: “…-- 2.2 Elemente viraler Methoden -- 2.3 Gutscheinkonzepte -- Kapitel 3: Guerilla-Marketing -- 3.1 Das Wesen des Guerilla-Marketings -- 3.2 Virtuelle Identitäten und Fallstricke -- 3.3 Die Erfolgskontrolle ist nicht einfach -- Kapitel 4: Newsletter -- 4.1 Die »Ja-ich-will«-Schwelle sicher überwinden -- 4.2 Ohne Konzept keine Leser -- 4.3 Erfolgskontrolle: Verschicken kann jeder - aber wer wird auch gelesen? -- 4.4 Wie kommt man legal an Abonnenten? -- Kapitel 5: Affiliate Marketing -- 5.1 Die Vergütungsmodelle -- 5.2 Die Netzwerke und Plattformen für Affiliate Marketing -- 5.3 Licht und Schatten -- Kapitel 6: Kundenbindung durch Weblogs und RSS-Feeds -- 6.1 Was ist ein Weblog? …”

Tabla de Contenidos: “…Cover -- Contents -- About the Authors -- Preface -- Unit I: Thinking Conceptually about Politics -- Chapter 1: Liberty -- 1.1 Meaning and Nature of Liberty -- 1.2 Negative Liberty -- 1.3 Positive Liberty -- 1.4 Conclusion -- Suggested Questions -- Bibliography -- Chapter 2: Equality -- 2.1 Meaning and Significance of Equality -- 2.2 Foundational Equality -- 2.2.1 Fundamental Equality of Persons -- 2.2.2 Equality of Opportunity -- 2.2.3 Equality of Condition -- 2.2.4 Equality of Outcome -- 2.3 Distributional Equality -- 2.3.1 Equality of Welfare -- 2.3.2 Equality of Resources -- 2.4 Equality of Capability -- 2.5 Conclusion -- Suggested Questions -- Bibliography -- Chapter 3: Justice -- 3.1 The Concept -- 3.2 Core Elements of Justice -- 3.2.1 Non-Arbitrariness -- 3.2.2 Consistency -- 3.2.3 Relevance -- 3.2.4 Proportion -- 3.2.5 Procedure -- 3.3 Justice as an Ethical Principle -- 3.3.1 Distributive Justice -- 3.3.1.1 Justice as Equality (Egalitarianism) -- 3.3.1.2 Justice Based on Contribution (Capitalist Justice) -- 3.3.1.3 Justice Based on Needs and Abilities (Socialism) -- 3.3.1.4 Justice as Freedom (Libertarianism) -- 3.3.1.5 Justice as Fairness -- 3.3.2 Retributive Justice -- 3.3.3 Compensatory Justice -- 3.4 Rawls' Theory of Justice as Fairness -- 3.4.1 Rawls' Method -- 3.4.2 Rawls' Principles of Justice -- 3.4.2.1 Principle of Equal Liberty -- 3.4.2.2 The Difference Principle -- 3.4.3 The Principle of Fair Equality of Opportunity -- 3.4.4 Critical Evaluation of Rawls' Theory -- 3.5 Distributive Justice and Business -- 3.6 Conclusion -- Suggested Questions -- Bibliography -- Chapter 4: Rights -- 4.1 Meaning and Nature of Rights -- 4.2 Basis Of Rights -- 4.2.1 Legal Rights -- 4.2.2 Moral Rights -- 4.2.3 Negative and Positive Rights -- 4.2.4 Contractual Rights -- 4.2.5 Natural Rights and Human Rights -- 4.3 Human Rights and the Corporate World…”

Tabla de Contenidos: “…; Challenges versus hindrances at work ; Practicing hardiness in the legal profession ; Putting your hardiness to work --…”

Tabla de Contenidos: “…How migrants are filling employment gaps in long-term care -- Share of foreign-born workers -- Legal channels for recruitment and recruitment campaigns -- 4.3.2. …”

“…This edition covers emerging technology, revised legal and practical considerations for conducting interviews, and new information on case evaluation. …”

Tabla de Contenidos: “…Understanding BERT -- Describing how BERTopic works -- BERT - word embeddings -- UMAP - reduce the dimensionality of embeddings -- HDBSCAN - cluster documents -- c-TFIDF - create a topic representation -- Maximal Marginal Relevance -- Building a BERTopic model -- Loading the data - no text preprocessing -- Modeling -- Reviewing the results of BERTopic -- Getting the topic information -- Inspecting the keywords of a single topic -- Getting document information -- Getting representative documents -- Visualizing the BERTopic model -- Visualizing topics -- Visualizing the hierarchy of topics -- Visualizing the top words of topics -- Visualizing on a heatmap -- Predicting new documents -- Using the modular property of BERTopic -- Word embeddings -- Dimensionality reduction -- Clustering -- Comparing BERTopic with LDA -- Approach -- Word embeddings -- Text preprocessing -- Language understanding -- Topic clarity -- Determination of the number of topics -- Determination of word significance in a topic -- Summary -- Questions -- References -- Chapter 15: Real-World Use Cases -- Word2Vec for medical fraud detection -- Background -- Questions -- NLP solution -- Takeaways -- Background -- Questions -- NLP solution -- Takeaways -- Background -- Questions -- NLP solution -- Takeaways -- Comparing LDA/NMF/BERTopic on Twitter/X posts -- Background -- Questions -- NLP solution -- Takeaways -- Interpretable text classification from electronic health records -- Background -- Questions -- NLP solution -- Takeaways -- BERTopic for legal documents -- Background -- Questions -- NLP solution -- Takeaways -- Word2Vec for 10-K financial documents to the SEC -- Background -- Questions -- NLP solution -- Takeaways -- Summary -- References -- Assessments -- Chapter 1 - Introduction to NLP -- Chapter 2 - Text Representation -- Chapter 3 - Text Wrangling and Preprocessing…”

Tabla de Contenidos: “…2.1 Converging Forces Favourably -- 2.2 Marketing Environment: Concept -- 2.3 Need of Environmental Analysis -- 2.4 Types of Environments -- 2.5 Micro Environment -- 2.6 Proximate Macro Environment -- 2.6.1 Suppliers -- 2.6.2 Intermediaries -- 2.6.3 Public -- 2.6.4 Competitor -- 2.7 General Macro Environment -- 2.7.1 Demographic Environment -- 2.7.2 Economic Environment -- 2.7.3 Technological Environment -- 2.7.4 Socio-Cultural Environment -- 2.7.5 Political Environment -- 2.7.6 Legal Environment -- 2.7.7 Ecological Environment -- 2.8 Techniques for Environmental Scanning -- Summary -- Key Words -- Students' Ready Reckoner -- Review Questions -- Chapter 3: Segmenting, Targeting and Positioning: Reaching Consumers Efficiently -- 3.1 Shelving Diversified Customers -- 3.2 Market Segmentation: Concept -- 3.3 Rationale for Segmentation -- 3.4 Level of Market Segmentation -- 3.4.1 Mass Marketing -- 3.4.2 Segment Marketing -- 3.4.3 Niche Marketing -- 3.4.4 Local Marketing -- 3.4.5 Individual Marketing -- 3.5 Factors Influencing Choice of Bases for Segmentation -- 3.6 Bases for Segmenting Consumer Market -- 3.6.1 Geographical Variables -- 3.6.2 Demographic Variables -- 3.6.3 Psychographic Variables -- 3.6.4 Behavioural Variables -- 3.7 Bases for Segmenting Industrial Market -- 3.7.1 Demographic Variables -- 3.7.2 Operating Variables -- 3.7.3 Purchasing Variables -- 3.7.4 Situational Variables -- 3.7.5 Personal Characteristics -- 3.8 Patterns of Segmentation -- 3.9 Segmentation Procedure -- 3.10 Factors Determining Effective Segmentation -- 3.11 Market Targeting -- 3.11.1 Meaning of Market Targeting -- 3.11.2 Target Market -- 3.11.3 Strategies for Selecting Target Market -- 3.12 Positioning -- 3.12.1 Concept of Positioning -- 3.12.2 Steps in Positioning -- 3.12.3 Positioning Errors -- 3.12.4 Positioning Strategies -- 3.13 Market Share -- Summary -- Key Words…”

Tabla de Contenidos: “…2.9.3 Frameworks and other tools -- 2.10 Ransomware -- 2.10.1 Data loss and ransom -- 2.10.2 Business model - money is the target -- 2.10.3 How to protect yourself - Rule 3-2-1 -- 2.10.4 Geopolitical and legal problem - Corsairs of the twenty-first century ? …”

Tabla de Contenidos: “…2.5.1 Land Cover Classification -- 2.5.2 Vegetation Monitoring -- 2.5.3 Urban Land-Use Classification -- 2.5.4 HSI Remote Sensing -- 2.6 Challenges for Deep Learning Methods for RS Image Processing -- 2.6.1 High Spatial and Spectral Variability -- 2.6.2 Limited Annotated Data -- 2.6.3 Class Imbalance -- 2.6.4 Intra-Class Variability -- 2.6.5 Spectral Mixing and Shadow Effects -- 2.6.6 Sensor Noise and Atmospheric Interference -- 2.6.7 Computational Complexity -- 2.6.8 Adaptability and Generalization -- 2.7 Limitations -- 2.7.1 Dependence on Image Quality -- 2.7.2 Temporal Variability -- 2.7.3 Generalization and Transferability -- 2.7.4 Scalability -- 2.7.5 Interpretability -- 2.7.6 Labeling Challenges -- 2.7.7 Privacy Concerns -- 2.7.8 Legal and Policy Constraints -- 2.8 Conclusion -- 2.8.1 Future Work -- Funding -- References -- Chapter 3 Deep Learning Framework for Face Detection and Recognition for Dark Faces Using VGG19 with Variant of Histogram Equalization -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Material and Techniques -- 3.3.1 Convolutional Neural Network -- 3.3.2 Histogram Equalization -- 3.3.3 Data Set -- 3.3.4 Proposed Framework -- 3.4 Experiment and Results -- 3.4.1 Evaluation Parameter -- 3.4.2 Experimental Setup -- 3.4.3 Results and Analysis -- 3.5 Conclusion -- References -- Chapter 4 A 3D Method for Combining Geometric Verification and Volume Reconstruction in a Photo Tourism System -- 4.1 Introduction -- 4.2 Literature Review -- 4.3 Method -- 4.3.1 Processing -- 4.3.2 Feature Extraction -- 4.3.3 Feature Matching -- 4.3.4 Geometric Verification -- 4.3.5 Volumetric Reconstruction -- 4.3.6 Triangulation -- 4.3.7 Bundle Adjustment -- 4.4 Experiments -- 4.4.1 Data Set Description -- 4.5 Results and Analysis -- 4.6 Conclusion -- Acknowledgments -- References…”

Tabla de Contenidos: “…Maintenance Automation -- Monitoring Techniques -- Collector Protocols and Methods -- Tagging -- Log Analysis -- Baselines -- Thresholds -- Trending -- Automated Event Responses -- Log Scrubbing -- Verification of Continuous Monitoring Activities -- Management Tools -- Chapter Review -- Questions -- Answers -- Chapter 11 Security in the Cloud -- Data Security -- Encryption -- Public Key Infrastructure -- Encryption Protocols -- Tunneling Protocols -- Ciphers -- Storage Security -- Protected Backups -- Network Security -- Segmentation -- Firewall -- DDoS Protection -- Packet Capture -- Network Flow -- IDS/IPS -- Packet Broker -- APIs -- Effects of Cloud Service Models on Security Implementation -- Endpoint Protection -- Host-Based Firewall -- Antivirus/Antimalware -- Endpoint Detection and Response -- Data Loss Prevention -- Exercise 11-1: Creating a DLP Policy for Office 365 -- NAC -- Hardening -- Application Whitelisting -- Impact of Security Tools to Systems and Services -- Access Control -- Identification -- Authentication -- Authorization -- Single Sign-On -- Federation -- Access Control Protocols -- Access Control Methodologies -- Multifactor Authentication -- Chapter Review -- Questions -- Answers -- Chapter 12 Security Best Practices -- Cloud Security Engineering -- Implementing Layered Security -- Protecting Against Availability Attacks -- Least Privilege -- Separation of Duties -- Security Automation -- Security Governance and Strategy -- Developing Company Security Policies -- Account Management Policies -- Documenting Security Procedures -- Assessment and Auditing -- Leveraging Established Industry Standards and Regulations -- Applying Platform-Specific Security Standards -- Data Classification -- Legal Holds -- Exercise 12-1: Creating a Legal Hold for a Mailbox in Office 365 -- Keeping Employees and Tools Up to Date…”

Tabla de Contenidos: “…Taobao Creates a Market -- C. Taobao's Private Legal System -- V. Taobao and the Evolution of Federalism, Chinese Style: Recentralization -- A. …”