Форматированное содержание: Сандық бейнелердің сапасын бағалаудың заманауи әдістері мен критерийлерін талдау; Сандық бейнелердің ұқсастық және сапа критериялары; Бейнелердің визуалды сапасын жақсарту әдістері; Сандық бейнелердің визуалды қасиеттерін жақсаруға арналған бағдарламалық қамтаманы жүзеге асыру

Форматированное содержание: Обзор и оценка объекта исследования; Обоснование и формулирование требований к архитектуре программно-аппаратного комплекса; Разработка программно-аппаратного комплекса и алгоритма предварительной обработки данных на основе граничных вычислений

Форматированное содержание: Ассистивные технологии; Труды ученых в области инклюзивного образования; Технологии инклюзивного образования

Форматированное содержание: Современное состояние проблемы обеспечения информационной безопасности в IIoT; Разработка модели оценки рисков информационной безопасности на базе нечеткой логики; Создание экспертно-аналитической системы оценки рисков информационной безопасности в промышленных IoT-системах

Форматированное содержание: Современное состояние проблемы и технические решения; Концепция биометрической системы регистрации и контроля доступа. Структура, компоненты, и сценарий работы системы; Разработка и интеграция цветных QR-кодов в биометрическую пропускную систему; Разработка программного обеспечения для регистрации и идентификации. Эксперименты и результаты

Форматированное содержание: Обзор моделей и методов аэрокосмического мониторинга и прогнозирования затопления на контролируемой территории; Моделирование процессов контроля качества управления организацией чрезвычайных ситуаций; Программно-алгоритмическое обеспечение системы космического мониторинга; Статистические исследования агентов эффективности системы мониторинга природных и техногенных угроз

Форматированное содержание: Жаңа бағыттағы жетістіктерді талдау; Мониторинг тапсырмалары үшін видеотізбекті дескриптивті талдау; Видеотізбектің динамикалық көрінісін дескриптивті талдау әдісі

Форматированное содержание: Introduction to Prompt Engineering; Understanding Prompting and Prompt Techniques; Generating Text with AI for Content Creation; Basic Prompt Engineering Techniques; Creating and Promoting a Podcast Using ChatGPT and Other Practical Examples; LLMs for Creative Writing; Unlocking Insights from Unstructured Text - AI Techniques for Text Analysis; Advanced Use Cases for Different Industries; Applications of LLMs in Education and Law; The Rise of AI Pair Programmers - Teaming Up with Intelligent Assistants for Better Code; AI for Chatbots; Building Smarter Systems - Advanced LLM Integrations; Ethics, Limitations, and Future Developments; Generative AI - Emerging Issues at the Intersection of Ethics and Innovation; Conclusion

Форматированное содержание: Navigating the ML Lifecycle with ML Solutions Architecture; Exploring ML Business Use Cases; Exploring ML Algorithms; Data Management for ML; Exploring Open-Source ML Libraries; Kubernetes Container Orchestration Infrastructure Management; Open-Source ML Platforms; Building a Data Science Environment Using AWS ML Services; Designing an Enterprise ML Architecture with AWS ML Services; Advanced ML Engineering; Building ML Solutions with AWS AI Services; AI Risk Management; Bias, Explainability, Privacy, and Adversarial Attacks; Charting the Course of Your ML Journey; Navigating the Generative AI Project Lifecycle; Designing Generative AI Platforms and Solutions

Форматированное содержание: Understanding the Importance of Software Architecture; Non-Functional Requirements; Managing Requirements; Best Practices in Coding C# 12; Implementing Code Reusability in C# 12; Design Patterns and .NET 8 Implementation; Understanding the Different Domains in Software Solutions; Understanding DevOps Principles and CI/CD; Testing Your Enterprise Application; Deciding on the Best Cloud-Based Solution; Applying a Microservice Architecture to Your Enterprise Application; Choosing Your Data Storage in the Cloud; Interacting with Data in C# - Entity Framework Core; Implementing Microservices with .NET; Applying Service-Oriented Architectures with .NET; Working with Serverless - Azure Functions; Presenting ASP.NET Core; Implementing Frontend Microservices with ASP.NET Core; Client Frameworks: Blazor; Kubernetes; Case Study; Case Study Extension: Developing .NET Microservices for Kubernetes

Форматированное содержание: Introduction to Data Privacy and Machine Learning; Introduction to Data Privacy, Privacy Breaches, and Threat Modeling; Machine Learning Phases and Privacy Threats/Attacks in Each Phase; Use Cases of Privacy-Preserving Machine Learning and a Deep Dive into Differential Privacy; Overview of Privacy-Preserving Data Analysis and an Introduction to Differential Privacy; Overview of Differential Privacy Algorithms and Applications of Differential Privacy; Developing Applications with Differential Privacy Using Open Source Frameworks; Hands-On Federated Learning; Federated Learning and Implementing FL Using Open Source Frameworks; Federated Learning Benchmarks, Start-Ups, and the Next Opportunity; Homomorphic Encryption, SMC, Confidential Computing, and LLMs; Homomorphic Encryption and Secure Multiparty Computation; Confidential Computing - What, Why, and the Current State; Preserving Privacy in Large Language Models

Форматированное содержание: Part 1: Introduction to PrimeNG: Introducing Angular and PrimeNG: A Powerful Combination; Setting Up Your Development Environment; Utilizing Angular’s Features and Improvements; Integrating PrimeNG into Your Angular Project; Part 2: UI Components and Features: Introducing Input Components and Form Controls; Working with Table, List, and Card Components; Working with Tree, TreeTable, and Timeline Components; Working with Navigation and Layout Components; Part 3: Advanced Techniques and Best Practices: Customizing PrimeNG Components with Theming; Exploring Optimization Techniques for Angular Applications; Creating Reusable and Extendable Components; Working with Internationalization and Localization; Testing PrimeNG Components; Part 4: Real-World Application: Building a Responsive Web Application

Форматированное содержание: Part 1: Fundamentals of Prometheus: Observability, Monitoring, and Prometheus; Deploying Prometheus; The Prometheus Data Model and PromQL; Using Service Discovery; Effective Alerting with Prometheus; Part 2: Scaling Prometheus: Advancing Prometheus: Sharding, Federation, and High Availability; Optimizing and Debugging Prometheus; Enabling Systems Monitoring with the Node Exporter; Part 3: Extending Prometheus: Utilizing Remote Storage Systems with Prometheus; Extending Prometheus Globally with Thanos; Jsonnet and Monitoring Mixins; Utilizing Continuous Integration (CI) Pipelines with Prometheus; Defining and Alerting on SLOs; Integrating Prometheus with OpenTelemetry; Beyond Prometheus

Форматированное содержание: Introduction to PowerShell; Modules; Variables, Arrays, and Hashtables; Working with Objects in PowerShell; Operators; Conditional Statements and Loops; Working with .NET; Strings, Numbers, and Dates (Online Chapter); Regular Expressions (Online Chapter); Files, Folders, and the Registry

Форматированное содержание: Navigating the NLP Landscape: A Comprehensive Introduction; Mastering Linear Algebra, Probability, and Statistics for Machine Learning and NLP; Unleashing Machine Learning Potentials in Natural Language Processing; Streamlining Text Preprocessing Techniques for Optimal NLP Performance; Empowering Text Classification: Leveraging Traditional Machine Learning Techniques; Text Classification Reimagined: Delving Deep into Deep Learning Language Models; Demystifying Large Language Models: Theory, Design, and Langchain Implementation; Accessing the Power of Large Language Models: Advanced Setup and Integration with RAG; Exploring the Frontiers: Advanced Applications and Innovations Driven by LLMs; Riding the Wave: Analyzing Past, Present, and Future Trends Shaped by LLMs and AI; Exclusive Industry Insights: Perspectives and Predictions from World Class Experts

Форматированное содержание: Part 1: Centralized Workflows to Assist with Governance: An Overview of GitHub and GitHub Actions; Exploring Workflows; Deep Dive into Reusable Workflows and Composite Actions; Workflow Personalization Using GitHub Apps; Part 2: Implementing Advanced Patterns within Actions: Using HashiCorp Vault in GitHub; Deploying to Azure Using OpenID Connect; Working with Checks; Annotating Code with Actions; Advancing with Event-Driven Workflows; Setting Up Self-Hosted Runners; Part 3: Best Practices, Patterns, Tricks, and Tips Toolkit: The Crawler Pattern; The Configuration Centralization Pattern; Using Remote Workflows to Kickstart Your Products; Housekeeping Tips for Your Organization; Handy Workflows for Managing Your Software

Форматированное содержание: Part 1: Foundations of AWS Security: Introduction to AWS Security Concepts and Shared Responsibility Model; Infrastructure Security - Keeping Your VPC secure; Identity and Access Management - Securing Users, Roles, and Policies; Data Protection - Encryption, Key Management, and Data Storage Best Practices; Introduction to AWS Security Services; Part 2: Architecting and Deploying Secure AWS Environments: Designing Secure Microservices Architectures in AWS; Implementing Security for Serverless Deployments; Secure Design Patterns for Multi-tenancy in Shared Environments; Automate-Everything to Build Immutable and Ephemeral Resources; Part 3: Monitoring, Automation and Continuous Improvement: Advanced Logging, Auditing, and Monitoring in AWS; Security Compliance with AWS Config, AWS Security Hub, and Automated Remediation; DevSecOps - Integrating Security into CI/CD Pipelines; Keeping Up with Evolving AWS Security Best Practices and the Threat Landscape; Closing Note

Форматированное содержание: Introduction to Kubernetes Secrets Management; Understanding Kubernetes Secrets Management; Walking through Kubernetes Secrets Management Concepts; Encrypting Secrets the Kubernetes-Native Way; Debugging and Troubleshooting Kubernetes Secrets; Advanced Topics - Kubernetes Secrets in a Production Environment; Security, Auditing, and Compliance; Disaster Recovery and Backups; Challenges and Risks in Managing Secrets; Kubernetes Secrets Providers; Exploring Cloud Secret Store on AWS; Exploring Cloud Secret Store on Azure; Exploring Cloud Secret Store on GCP; Exploring External Secret Stores; Integrating with Secret Stores; Case Studies and Real-World Examples; Conclusion and the Future of Kubernetes Secrets Management

Форматированное содержание: Introduction to Jakarta EE; Contexts and Dependency Injection; Jakarta RESTful Web Services; JSON Processing and JSON Binding; Microservices Development with Jakarta EE; Jakarta Faces; Additional Jakarta Faces Features; Object Relational Mapping with Jakarta Persistence; WebSockets; Securing Jakarta EE Applications; Servlet Development and Deployment; Jakarta Enterprise Beans; Jakarta Messaging; Web Services with Jakarta XML Web Services; Putting it All Together

Форматированное содержание: Introduction: Getting Familiar with ESP32; IoT with ESP32 using Arduino IDE; Connecting Sensors and Actuators with ESP32; Interfacing Cameras and Displays with ESP32; IoT Protocols and ESP32; Implementing Network-Based Protocols with ESP32; Choosing the Right Data-Based Protocols for Your ESP32 Projects; Practical Implementation; Smart Plant Monitoring System Using ESP32, Messaging Services, and the Twitter API; Rent Out Your Parking Space; Logging, Monitoring, and Controlling using ESP32; From Arduino IDE to Advanced IoT Development - Taking the Next Steps