Instant Richest Ai Dad...richer Ai Mum
In a rapidly evolving world where technology orchestrates the symphony of modern existence, the concept of wealth has transcended traditional boundaries. The emergence of Artificial Intelligence, a transformative force, has reshaped industries and redefined the parameters of success. At the confluence of innovation and opportunity lies the remarkable potential for financial prosperity, harnessed through the strategic application of AI. This book, "INSTANT RICHEST AI DAD...RICHER AI MUM", delves into the profound impact AI can have on generating substantial income. It aims to illuminate the path toward financial success by exploring the habits and strategies that leverage AI's capabilities to create a consistent flow of earnings. As you turn the pages, you will uncover the secrets to tapping into AI-driven opportunities, transforming them into daily streams of wealth.
The River and the Mountain
A Step-by-Step Guide to Finishing Your First Project as a Solo DeveloperPerfect for developers of all experience levels!Whether you're a beginner or seasoned software developer, this book provides a comprehensive and optimized workflow to guide you from project planning to final release. Discover the pros and cons of solo development and learn how to overcome challenges with a clear and concise step-by-step approach."The River and the Mountain" is a philosophical journey about learning to follow your own path, filled with practical advice to help you achieve your goals and reach new heights.You will learn: ✅ A simplified and optimized workflow for solo development✅ How to overcome common challenges and stay motivated✅ How to bring your ideas to life!Order now and start your journey to success!
Recent Advances in Chaos, Fractal and Complex Dynamics in Nonlinear Systems
This reprint collates all of the articles published in the Special Issue of Mathematics titled "Recent Advances in Chaos, Fractal and Complex Dynamics in Nonlinear Systems". This Special Issue was devoted to showcasing the latest theoretical advances and practical developments in the field of nonlinear dynamics, with a particular focus on chaotic behavior, bifurcation phenomena, fractal structures, and the emerging dynamics in fractional-order, discrete, and discontinuous systems.The collected works reflect the rapid progress that has been achieved in understanding the interplay among nonlinear systems, chaos, bifurcation, and fractals. The topics include new methods for detecting chaos, novel types of attractors (including hidden attractors), fractal features in fractional-order systems, and the applications of chaotic and fractal dynamics in areas such as secure communication and optimization algorithms.We hope that this reprint will serve as a valuable reference for researchers and practitioners engaged in the study of nonlinear systems, and in particular, those exploring chaos theory, bifurcation analysis, fractal geometry, and the complex behavior of emerging dynamical models.
Theory and Applications of Fuzzy Systems and Neural Networks
Fuzzy systems and neural networks are the main theoretical approaches in computational intelligence. These approaches have been successfully applied in a wide range of fields, such as information science, mathematics, control engineering, image processing, pattern recognition, robotics, mechatronics, consumer electronics, and system optimisation. They provide an effective tool for data and knowledge-based modelling that deals with many real-world problems with quantitative and qualitative complexity in terms of dimensionality and uncertainty.Fuzzy systems and neural networks complement each other and can be combined with other computational and artificial intelligence-based techniques, such as evolutionary algorithms and machine learning, to solve complex real-world problems. The integration of fuzzy systems and neural networks, in particular, can bring out the best of both approaches and usually provides better system performances in terms of modelling efficiency and accuracy.This reprint features original research of the highest scientific quality related to the theory and applications of fuzzy systems and neural networks. It includes original and unpublished works that present innovative methods for enhancing fuzzy systems and neural networks. Its scope includes systematic and empirical studies that contribute to significant novel developments in the theoretical and applied aspects of research in the field.
The Feeling Code
What happens when machines begin to understand our emotions and reflect them back to us? In this groundbreaking exploration of emotional artificial intelligence, readers are invited into the rapidly evolving world of human-AI relationships, where empathy is coded, affection is simulated, and connection is redefined. As AI and emotions intersect in everything from virtual companions to therapeutic chatbots, this book uncovers how affective computing is reshaping the very fabric of intimacy, trust, and communication. Drawing on real-world examples, emerging technologies, and deep psychological insight, it asks the essential question: Can machines feel, or are we the ones being rewritten by emotional illusions? Covering critical topics like emotional design in AI, the rise of AI companionship, and the emergence of emotionally intelligent machines, this book offers a powerful lens into the future of empathy in an age of synthetic emotions. Whether you're a technologist, psychologist, futurist, or simply curious about what it means to be human in the presence of thinking, feeling code this is essential reading for those seeking to understand tomorrow's emotional landscape today.
MongoDB Essentials
Get started fast with MongoDB architecture, core operations, and AI-powered tools for building intelligent applicationsKey Features: - Quickly grasp the MongoDB architecture and distributed design principles- Learn practical data modeling, CRUD operations, and aggregation techniques- Explore AI-enabled tools for building intelligent applications with MongoDB- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Modern applications demand flexibility, speed, and intelligence, and MongoDB delivers all three. This mini guide wastes no time, offering a concise, practical introduction to handling data flexibly and efficiently with MongoDB. MongoDB Essentials helps developers, architects, database administrators, and decision makers get started quickly and confidently.The book introduces MongoDB's core principles, from the document data model to its distributed architecture, including replica sets and sharding. It then helps you build hands-on skills such as installing MongoDB, designing effective data schemas, performing CRUD operations, and working with the aggregation pipeline. You'll discover performance tips along the way and learn how AI-enhanced tools like Atlas Search and Atlas Vector Search power intelligent application development.With clear explanations and a practical approach, this book gives you the foundation and skills you need to start working with MongoDB right away.What You Will Learn: - Understand MongoDB's document model and architecture- Set up local MongoDB deployments quickly- Design schemas tailored to application access patterns- Perform CRUD and aggregation operations efficiently- Use tools to optimize query performance and scalability- Explore AI-powered features such as Atlas Search and Atlas Vector SearchWho this book is for: This book is for anyone looking to explore MongoDB, including students, developers, system architects, managers, database administrators, and decision makers who want to familiarize themselves with what a modern database can offer. Whether you're building your first application or exploring what MongoDB can do for you, this book is the idea starting point for your MongoDB journey.Table of Contents- MongoDB Architecture- Getting Started with MongoDB- Data Modeling- CRUD Operations- Aggregation- Performance Strategies and Tools- Intelligent Applications with MongoDB
Recent Developments in Computational Finance and Business Analytics
Recent Advancements in Computational Finance and Business Analytics captures the transformation reshaping finance, business, and decision-making. Structured around Financial Analytics, Business Analytics, and HR & Marketing Analytics, this volume presents cutting-edge research and real-world applications. Topics include machine learning in financial forecasting, AI-driven customer segmentation, and blockchain-enabled supply chains. Blending rigorous methods with actionable insights, it offers value to researchers, analysts, students, and policymakers. As industries embrace data-driven innovation, this book serves as both a reference and a roadmap for navigating the digital economy through strategic and intelligent analytics.
Science, Engineering Management and Information Technology
The two-volume set CCIS 2651 + 2652 constitutes the proceedings of the 5th International Conference on Science, Engineering Management and Information Technology, SEMIT 2025, held in Dubai, UAE, during September 11-13, 2025. The 35 full papers and 4 short papers included in the proceedings were carefully reviewed and selected from 221 submissions. They were organized in topical sections as follows: AI in Public Services & Industry; Educational Technology & E-Learning; Smart Manufacturing & Industry 4.0; Smart Cities & Urban Innovation; Digital Governance & Transformation; Sustainable & Circular Decision-Making; and Computational Intelligence and Data Privacy in Healthcare, IT, and Public Services.
The Official MongoDB Guide
The official guide to MongoDB architecture, tools, and cloud features, written by leading MongoDB subject matter experts to help you build secure, scalable, high-performance applicationsKey Features: - Design resilient, secure solutions with high performance and scalability- Streamline development with modern tooling, indexing, and AI-powered workflows- Deploy and optimize in the cloud using advanced MongoDB Atlas features- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Delivering secure, scalable, and high-performance applications is never easy, especially when systems must handle growth, protect sensitive data, and perform reliably under pressure. The Official MongoDB Guide addresses these challenges with guidance from MongoDB's top subject matter experts, so you learn proven best practices directly from those who know the technology inside out.This book takes you from core concepts and architecture through to advanced techniques for data modeling, indexing, and query optimization, supported by real-world patterns that improve performance and resilience. It offers practical coverage of developer tooling, IDE integrations, and AI-assisted workflows that will help you work faster and more effectively.Security-focused chapters walk you through authentication, authorization, encryption, and compliance, while chapters dedicated to MongoDB Atlas showcase its robust security features and demonstrate how to deploy, scale, and leverage platform-native capabilities such as Atlas Search and Atlas Vector Search.By the end of this book, you'll be able to design, build, and manage MongoDB applications with the confidence that comes from learning directly from the experts shaping the technology.What You Will Learn: - Build secure, scalable, and high-performance applications- Design efficient data models and indexes for real workloads- Write powerful queries to sort, filter, and project data- Protect applications with authentication and encryption- Accelerate coding with AI-powered and IDE-based tools- Launch, scale, and manage MongoDB Atlas with confidence- Unlock advanced features like Atlas Search and Atlas Vector Search- Apply proven techniques from MongoDB's own engineering leadersWho this book is for: This book is for developers, database professionals, architects, and platform teams who want to get the most out of MongoDB. Whether you're building web apps, APIs, mobile services, or backend systems, the concepts covered here will help you structure data, improve performance, and deliver value to your users. No prior experience with MongoDB is required, but familiarity with databases and programming will be helpful.Table of Contents- Introduction to MongoDB- MongoDB Architecture- Developer Tools- Data Modeling and Index Optimization- Queries- Database Operations- Security- MongoDB Atlas- Atlas Search
High Performance with MongoDB
Practical strategies to help you design, optimize, and operate MongoDB deployments for performance, resilience, and growthKey Features: - Identify and fix performance bottlenecks with practical diagnostic and optimization strategies- Optimize schema design, indexing, storage, and system resources for real-world workloads- Scale confidently with in-depth coverage of replication, sharding, and cluster management techniques- Purchase of the print or Kindle book includes a free PDF eBookBook Description: With data as the new competitive edge, performance has become the need of the hour. As applications handle exponentially growing data and user demand for speed and reliability rises, three industry experts distill their decades of experience to offer you guidance on designing, building, and operating databases that deliver fast, scalable, and resilient experiences.MongoDB's document model and distributed architecture provide powerful tools for modern applications, but unlocking their full potential requires a deep understanding of architecture, operational patterns, and tuning best practices. This MongoDB book takes a hands-on approach to diagnosing common performance issues and applying proven optimization strategies from schema design and indexing to storage engine tuning and resource management.Whether you're optimizing a single replica set or scaling a sharded cluster, this book provides the tools to maximize deployment performance. Its modular chapters let you explore query optimization, connection management, and monitoring or follow a complete learning path to build a rock-solid performance foundation. With real-world case studies, code examples, and proven best practices, you'll be ready to troubleshoot bottlenecks, scale efficiently, and keep MongoDB running at peak performance in even the most demanding production environments.What You Will Learn: - Diagnose and resolve common performance bottlenecks in deployments- Design schemas and indexes that maximize throughput and efficiency- Tune the WiredTiger storage engine and manage system resources for peak performance- Leverage sharding and replication to scale and ensure uptime- Monitor, debug, and maintain deployments proactively to prevent issues- Improve application responsiveness through client driver configurationWho this book is for: This book is for developers, database administrators, system architects, and DevOps engineers focused on performance optimization of MongoDB. Whether you're building high-throughput applications, managing deployments in production, or scaling distributed systems, you'll gain actionable insights. Basic knowledge of MongoDB is assumed, with chapters designed progressively to support learners at all levels.Table of Contents- Systems and MongoDB Architecture- Schema Design for Performance- Indexes- Aggregations- Replication- Sharding- Storage Engines- Change Streams- Transactions- Client Libraries- Managing Connections and Network Performance- Advanced Query and Indexing Concepts- Operating Systems and System Resources- Monitoring and Observability- Debugging Performance Issues
Electronic Government and the Information Systems Perspective
This book constitutes the proceedings of the 14th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2025, held in Bangkok, Thailand, during August 25-27, 2025. The 11 full and 4 short papers included in the proceedings were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: Legal Aspects and Semantic Approaches; Digital Transformation and E-government Inclusion; AI in E-Government; E-Government Cases.
Big Data Analytics and Knowledge Discovery
This book constitutes the proceedings of the 27th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2025, held in Bangkok, Thailand, during August 25-27, 2025. The 12 full and 14 short papers included in the proceedings were carefully reviewed and selected from 62 submissions. The proceedings also contain one keynote talk, one invited talk and one tutorial. The papers were organized in topical sections as follows: Data mining and knowledge discovery; sequential data analytics and recommendation systems; graph data processing and analytics; data management and indices; Large language Models (LLMs); and Neural Networks.
Towards Autonomous Robotic Systems
This LNAI 16045 volume constitutes the proceedings of the 26th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2025, held in York, UK, duing August 20-22, 2025. The 32 full papers and 4 short papers, together with 4 invited papers presented in these volumes were carefully reviewed and selected from 74 submissions. The papers were categorised into seven groups: Human-Robot Interaction and Teleoperation, Sensing and Perception, Locomotion and Control, Manipulation and Dexterous Interaction, Software Engineering for Robotics, Underwater Robotics and Autonomy, Aerial Robotics and Path Planning, and Challenging Environments.
Information Processing and Network Provisioning
The proceedings set CCIS 2593 until CCIS 2596 constitutes the proceedings of the Third International Conference on Information Processing and Network Provisioning, ICIPNP 2024, which took place in Qingdao, China, during November 8-10, 2024. The 153 full papers presented in the proceedings were carefully reviewed and selected from 277 submissions. They deal with up to date research ranging from information and signal processing and network provisioning to computer communications and network applications.
Information Processing and Network Provisioning
The proceedings set CCIS 2593 until CCIS 2596 constitutes the proceedings of the Third International Conference on Information Processing and Network Provisioning, ICIPNP 2024, which took place in Qingdao, China, during November 8-10, 2024. The 153 full papers presented in the proceedings were carefully reviewed and selected from 277 submissions. They deal with up to date research ranging from information and signal processing and network provisioning to computer communications and network applications.
Data Science in Applications
This book provides a forum for presenting and discussing new and promising ideas in the broadly understood data science field and scope. Data science is a broad discipline. Related and partially overlapping fields are data mining, pattern recognition, neurocomputing, statistics, mathematics, data visualisation, databases, data processing, knowledge discovery in databases, big data analysis, computer science, cloud computing, machine learning, and artificial intelligence. Recent research has focused on unlocking the new possibilities of artificial intelligence, not only from a theoretical point of view but also from an applied perspective. In light of recent developments and trends in these fields, the topics covered in the book have been expanded and extended to include various aspects of artificial intelligence (AI), advanced data analysis, data analytics, machine learning, and multimedia, both from a theoretical and a practical application perspective. All of these are coming together, so we are seeing a variety of AI-driven approaches. This book contains 12 chapters by data science researchers. They are divided into "AI-supported multimedia systems" and "Developments, challenges, and applications of advanced data analysis and machine learning." The first part of the book contains chapters that discuss various aspects of multimedia systems, notably text, voice, and image, in particular from the point of view of how new developments in AI, advanced data analyses, etc., can provide new, effective and efficient, tools and techniques, maybe even imply research and implementation breakthroughs. The second part of the book, "Developments, challenges and applications of advanced data analysis and machine learning," is concerned with various aspects, problems, solutions, and applications for new sophisticated tools and techniques of data analyses, data analytics, and machine learning providing tools and techniques to take advantage of what is available in data.
Proceedings of International Conference on AI and Financial Innovation
This book features high-quality research papers presented at the International Conference on AI and Financial Innovation (AIFI 2025), IIMT Bhubaneswar, Odisha, India, during February 7-8, 2025. The integration of artificial intelligence (AI) into financial services is ushering in a new era of technological transformation. The book discusses AI's ability to analyze large volumes of data, automate processes, and generate predictive insights which are revolutionizing how financial institutions operate. It also discusses how AI is becoming a critical tool for enhancing efficiency, improving decision-making, and fostering financial inclusion on a global scale. Furthermore, it presents contents on how integration of AI in payment systems, credit scoring, fraud detection, and regulatory compliance is reshaping the financial services industry, making it more secure, efficient, and accessible.
Electronic Government
This LNCS conference set constitutes the proceedings of the 24th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2025, in Krems, Austria, held during August 31-September 4, 2025. The 25 full papers presented were carefully selected from 116 submissions. They were categorized under the topical sections as follows: E-Government and E-Governance; Emerging Issues and Innovations; Open Data; Smart Cities; AI, Data Analytics and Automated Decision-Making.
The Social Media Trap - How to Protect Your Mental Health in a Digital World
Social media was designed to connect us-but for many, it's doing the opposite. Anxiety, comparison, loneliness, and burnout are becoming the hidden costs of a life lived online.The Social Media Trap - How to Protect Your Mental Health in a Digital World is a wake-up call and a guidebook for anyone feeling overwhelmed by the endless scroll. Backed by psychology, neuroscience, and real-world stories, this book reveals how digital platforms are engineered to hijack your attention, exploit your emotions, and subtly shape your self-worth-and more importantly, how to break free.This isn't about quitting the internet. It's about reclaiming your time, focus, and emotional well-being in a hyperconnected world.Inside, you'll learn: How social media affects the brain-especially dopamine, attention, and moodThe links between screen time, anxiety, depression, and self-esteemThe role of algorithms in creating addiction, polarization, and FOMOPractical strategies to set digital boundaries and reduce online stressHow to curate a healthier online environment without disconnecting completelyTools for developing digital resilience, self-awareness, and mindful tech habitsWhether you're a parent, teen, professional, or everyday user, The Social Media Trap offers clarity in a confusing landscape. It empowers you to take control of your digital experience-and protect your mental health without giving up the benefits of modern connection.Because your mind is too valuable to be managed by an algorithm.
GCP in Action
Google Cloud Platform is a broad suite of deep infrastructure components and frameworks that an application developer or team can easily lose themselves in, without a clear path towards their goal: successful delivery of a product to their users. It is a powerful suite of cloud computing services, and understanding how to build scalable, reliable applications on it is a critical skill for modern developers and architects.This book provides a working set of GCP services and complementary products to illustrate the anatomy of an application that puts GCP services to good use, providing secure, scalable, and reusable back-end services to mobile and web front ends. You will learn to identify system stress points, choose between overlapping GCP services like App Engine and Cloud Run, and implement advanced strategies for component migration and maintenance. Web client, mobile, and desktop applications are developed to illustrate accessing GCP services from client platforms.By the end of this book, you will not only be proficient in using GCP but will also possess a solid architectural mindset. You will be prepared to design, build, and maintain enterprise-grade applications, capable of handling real-world complexities and ensuring long-term success on the Google Cloud Platform.WHAT YOU WILL LEARN● Coding, configuration, and deployment of GCP services.● Monitoring and alerting features of GCP products.● Choosing optimal GCP services from overlapping alternatives.● Scaling and load balancing of GCP services.● Designing robust, backend-agnostic interfaces at the cloud border.● Architectural design for scalable, reliable systems.● Handling high-demand scaling using message queues and load balancing.WHO THIS BOOK IS FORThis book is for software engineers and architects familiar with the software development lifecycle and internet concepts. It is tailored for professionals seeking to leverage Google Cloud Platform to build globally scalable products.
Business Intelligence with Looker
Looker is a data analytics tool that is rapidly gaining popularity in the business intelligence space. It has become an essential platform, empowering organizations to analyze data and make informed, data-driven decisions.In this book, we cover the fundamentals required to jumpstart a Looker instance, starting with dashboard creation and LookML development. You will learn to facilitate every step of the process, from administration to development to visualization creation. This guide will help you understand the Looker platform, from basic user functions to advanced development and administration. It is designed to help you become a Looker expert, enabling you to build a powerful data culture within your organization. Once the foundation is set, we explore advanced LookML concepts, including reusable blocks, Liquid customization, and performance tuning, while also diving into the administrative side of Looker.By the end of this book, you will possess a complete skill set for leveraging Looker. You will be fully equipped to build and manage sophisticated LookML data models, administer the platform securely, integrate it with other services, and confidently create impactful business intelligence solutions for real-world scenarios.WHAT YOU WILL LEARN● Develop LookML code, including core, advanced, and derived table concepts.● Integrate Looker with mobile apps, Google tools, and external applications.● Administer Looker, manage security, monitor usage, and tune performance effectively.● Create, customize, and present diverse reports and dashboards effectively.● Troubleshoot common issues and implement Looker development best practices.● Automate Looker tasks and integrate programmatically using APIs/SDKs.WHO THIS BOOK IS FORThis book is a valuable resource for new and experienced Looker professionals, including business users, report developers, and LookML developers. It is also ideal for data analysts, data engineers, and business intelligence developers who want to build and administer comprehensive Looker solutions.
Ultimate .NET MAUI Projects
Build Stunning Cross-Platform Apps with the Power of C# and .NET MAUI. Book DescriptionAs the need for unified mobile and desktop applications continues to rise, .NET MAUI offers a modern, efficient solution-enabling developers to create native apps for Android, iOS, Windows, and macOS using a single codebase in C# and XAML. Ultimate .NET MAUI Projects is your comprehensive, hands-on guide to mastering this powerful framework, and building production-ready, cross-platform applications. This book walks you through the complete development lifecycle-from foundational concepts to advanced techniques. You will also learn how to design responsive UIs with XAML, implement clean architecture using the MVVM pattern, integrate local data storage with SQLite, and connect to external APIs for dynamic content. Additionally, you will explore performance tuning, deployment practices, testing on emulators and real devices. Through guided, real-world projects including a feature-rich E-Commerce app, a robust ERP system, an interactive educational platform, and a dynamic social media interface, you will gain the skills and confidence to build scalable and maintainable applications that work seamlessly across platforms. Hence, whether you are a developer breaking into cross-platform development or a seasoned pro refining your mobile strategy, Ultimate .NET MAUI Projects is your essential resource for building with impact. Table of Contents1. Getting to know .NET MAUI2. Main Features of .NET MAUI3. Getting Started with .NET MAUI4. Design Patterns in .NET MAUI5. Using Blazor Components in .NET MAUI6. Internal DB and API Connection7. Best Practices in .NET MAUI8. Building an E-Commerce App9. Building an ERP App10. Building a Social Media App11. Building an Education App Index
Data Modeling with Snowflake - Second Edition
Learn to build scalable data architecture using Snowflake's unique features through real-world use cases and SQL recipes that unlock data value for business and engineering teamsKey Features: - Learn core modeling techniques through practical examples using native Snowflake architecture- Adopt a universal modeling language to communicate business value to functional teams- Go beyond physical modeling with SQL recipes to transform and shape your Snowflake data- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Struggling with rising Snowflake costs and constant tuning? Poorly aligned data models can lead to bloated expenses, inefficient queries, and time-consuming rework. Data Modeling with Snowflake helps you harness the Snowflake Data Cloud's scalable, cloud-native architecture and expansive feature set to deliver data solutions faster than ever.This book introduces simple, practical data modeling frameworks that accelerate agile design and evolve alongside your projects from concept to code. Rooted in decades of proven database design principles, these frameworks are paired, for the first time, with Snowflake-native objects and real-world examples, offering a two-in-one crash course in theory and direct application.Through real-world examples designed to make learning easy, you'll leverage Snowflake's innovative features like Time Travel, Zero-Copy Cloning, and Change Data Capture (CDC) to create cost-efficient solutions. Whether you're just starting out or refining your architecture, this book will guide you in designing smarter, scaling faster, and cutting costs by aligning timeless modeling principles with the power of Snowflake.What You Will Learn: - Master data modeling fundamentals to get your designs right on the first attempt with time-saving benefits- Discover Snowflake's cloud-native architecture and unique features- Apply modeling concepts to achieve higher efficiency by leveraging Snowflake architecture- Get to grips with modeling concepts like normalization and slowly changing dimensions (SCDs)- Read and transform semi-structured data, including hierarchies, using pre-built recipes and examples- Explore organizational frameworks like Data Vault and Data Mesh- Understand the business metrics that drive scalable, cost-effective data projectsWho this book is for: Whether building data products or managing a data platform at scale, this book serves any developer who jumped into SQL without first establishing modeling best practices and understanding their effective applications to save time and effort.For analysts or those starting in database design, this book provides practical foundations of data modeling to guide you on your Snowflake data journey.Those new to Snowflake will discover its core features and learn to incorporate them into universal modeling frameworks.Table of Contents- Unlocking the Power of Modeling- An Introduction to the Four Modeling Types- Mastering Snowflake's Architecture- Mastering Basic Snowflake Objects- From Logical Concepts to Snowflake Objects- Mastering Advanced Snowflake Objects- Seeing Snowflake's Architecture through Modeling Notation- Putting Conceptual Modeling into Practice- Putting Logical Modeling into Practice- Database Normalization- Database Naming and Structure- Putting Physical Modeling into Practice- Putting Transformational Modeling into Practice- Modeling Slowly Changing Dimensions- Modeling Facts for Rapid Analysis- Modeling Semi-Structured Data- Modeling Hierarchies(N.B. Please use the Read Sample option to see further chapters)
The Racket Guide
This guide is intended for programmers who are new to Racket or new to some part of Racket. It assumes programming experience, so if you are new to programming, consider instead reading How to Design Programs.
Practical Business Process Modeling and Analysis
Learn practical techniques from leading AI and business process experts to streamline operations, drive digital transformation, and accelerate your career growthKey Features: - Navigate common challenges in digital transformation to ensure seamless process adoption across teams- Master BPMN, process modeling, and automation launch strategies to streamline workflows and boost efficiency- Work with practical frameworks to align business processes with strategic long-term growth- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Every business transformation begins with one question, "How can we do this better?" Whether it's eliminating inefficiencies, optimizing business operations, or reimagining entire workflows with the help of AI, success depends on understanding and optimizing business processes. However, finding the right approach can be challenging with shifting market demands and evolving technologies.In this book, three seasoned experts in BPM, automation, and AI-driven process optimization guide you through frameworks, techniques, and tools that drive digital transformation by helping you explore business process modelling, before and after process execution. You'll visualize complex workflows, establish scalable process architectures that drive digital transformation, and integrate automation for efficiency. With insights into BPMN, business value analysis, and field-tested consulting guidance, you'll see how process-led design and data-driven decisions can lead to smarter, more agile operations. Through real-world examples, you'll grasp how leading organizations have optimized their processes and how you can apply the same principles in your digital change program.By the end of this book, you'll be able to identify, design, analyze, and transform business processes for measurable impact, as well as master the synergy of technology, process, and strategy to build systems that drive sustainable growth.What You Will Learn: - Explore the role of business process in digital transformation- Build scalable process architectures for long-term efficiency and adaptability- Find out how to avoid common pitfalls in digital transformation and automation programs- Apply real-world strategies and frameworks to optimize operations effectively- Discover methods and tools to enhance business process analysis and decision-making- See how the BPMN can be extended for scenarios like process simulation and risk management- Measure and maximize business value from process transformation effortsWho this book is for: This book is ideal for business analysts, process improvement practitioners, project managers, consultants, operations managers, and IT leaders involved in process design, streamlining workflows, and integrating AI and automation. No prior experience with BPMN or automation is needed, though familiarity with business processes will be helpful.Table of Contents- Winning at Digital Transformation with Process Modeling- Pillars of a Successful Digital Transformation- The Wheel of BPM Driving Your Competitive Advantage- Long-Term Trends and the Impact on Your Job- Business Process 101- Establishing Process Architecture- Process Modeling Notations - BPMN - What You Need to Know- Advanced BPMN- Measuring the Business Value of Process Transformation - A Few Final Thoughts
Dark Web Reality
Step beyond the headlines and into the shadows of the internet's most mysterious realm.From secret marketplaces to encrypted communication hubs, the dark web has captured public imagination as a place of danger, secrecy, and forbidden activity. But the truth is far more complex. In Dark Web Reality, you'll journey through the internet's hidden layers-uncovering the facts, the myths, and the double-edged nature of anonymity in the digital age.Inside, you'll discover: The three layers of the internet - surface, deep, and dark web - and how they interact.The rise of Tor and onion routing, and why anonymity can be both a shield for freedom and a cloak for crime.Digital black markets, from the infamous Silk Road to modern underground economies.The light within the darkness - whistleblowing platforms, human rights tools, and lifesaving uses of hidden networks.Law enforcement in the shadows, battling cybercrime while protecting online freedoms.How to stay safe online, avoid scams, and understand the ethical boundaries of hidden internet use.Written with investigative depth and clear explanations, Dark Web Reality pulls back the digital curtain to reveal what truly happens beyond the reach of Google. Whether you're a cybersecurity enthusiast, a concerned citizen, or simply curious about what lies beneath the surface, this book will equip you with the knowledge to navigate - and understand - the hidden world of the internet.Enter at your own risk - and with open eyes.
Digital Society
In an age where technology is rewriting the rules of human connection, governance, and daily life, how can we build a society that is not only digital-but also just, equitable, and human-centered?In Digital Society: Reimagining Society for the Digital Era, futurist and thought leader Mohammad J. Sear takes readers on a profound exploration of the opportunities and perils of the Digital Age. Moving far beyond simplistic measures like internet penetration and app usage, Sear redefines the very concept of a Digital Society-one where technology reshapes our institutions, values, and the way we live, work, learn, and care for each other.Drawing on decades of global experience advising governments, public institutions, and private enterprises, Sear unpacks: The Foundational Shift - Why optimization is not enough, and how true transformation requires reimagining, unlearning, and being purpose-driven.Core Elements of a Thriving Digital Society - From inclusive digital education and citizen-centric healthcare to secure identity systems and equitable infrastructure.The Power and Peril of the Digital Town Square - How civic life is being reshaped by algorithm-driven platforms and what it takes to protect democratic values online.A Human-Centric Future - Frameworks for embedding ethics, equity, and trust into digital transformation strategies.Through compelling global case studies, thought experiments, and a candid "skeptic's voice" that challenges assumptions at every step, Digital Society offers both visionary insight and practical frameworks for policymakers, innovators, educators, and engaged citizens.This is not just a book about technology-it's a blueprint for the societies we want to build, and a call to action to ensure the digital future works for everyone.If you care about the intersection of technology, governance, and human values, this is your essential guide to navigating-and shaping-the digital era.
The Management Of Commercial Computing
The Management Of Commercial Computing. ISBN: 0952795604 Year: 1996 The development and management of systems and people in multi-national corporations, systems and software houses, government departments, European Union Commissions and academia.
Dark Web Reality
Step beyond the headlines and into the shadows of the internet's most mysterious realm.From secret marketplaces to encrypted communication hubs, the dark web has captured public imagination as a place of danger, secrecy, and forbidden activity. But the truth is far more complex. In Dark Web Reality, you'll journey through the internet's hidden layers-uncovering the facts, the myths, and the double-edged nature of anonymity in the digital age.Inside, you'll discover: The three layers of the internet - surface, deep, and dark web - and how they interact.The rise of Tor and onion routing, and why anonymity can be both a shield for freedom and a cloak for crime.Digital black markets, from the infamous Silk Road to modern underground economies.The light within the darkness - whistleblowing platforms, human rights tools, and lifesaving uses of hidden networks.Law enforcement in the shadows, battling cybercrime while protecting online freedoms.How to stay safe online, avoid scams, and understand the ethical boundaries of hidden internet use.Written with investigative depth and clear explanations, Dark Web Reality pulls back the digital curtain to reveal what truly happens beyond the reach of Google. Whether you're a cybersecurity enthusiast, a concerned citizen, or simply curious about what lies beneath the surface, this book will equip you with the knowledge to navigate - and understand - the hidden world of the internet.Enter at your own risk - and with open eyes.
Year One Cybersecurity
Embark on your exciting cybersecurity career with confidence using Year One Cybersecurity: Foundational Overview. This clearly structured guide empowers aspiring professionals with essential knowledge, practical skills, and the right mindset to excel in a rapidly evolving field. Packed with real-world scenarios and clear explanations, it bridges the gap between theory and practice so you can hit the ground running in your first year.Inside this comprehensive guide, you will: - Master core security principles and frameworks, building a rock-solid foundation from day one.- Gain hands-on experience through practical exercises and labs that mirror real-world scenarios.- Learn to use industry-standard tools and best practices, from network defense to incident response.- Develop communication skills to articulate threats and solutions to both technical and non-technical audiences. - Get insider tips to navigate your first year in the field with confidence and professionalism.Whether you're launching your cybersecurity career or reinforcing the basics, Year One Cybersecurity will become your go-to reference for years to come. It provides the knowledge, skills, and confidence you need to survive and thrive in the exciting world of cybersecurity!
Computing Power Drives the Future
Computing power has long grown at an exponential rate. That rapid advance has allowed digital systems to do more each year. Computer power crossed a major threshold when it made "Artificial Intelligence" driven by deep neural networks economically feasible. And huge investments are being made in ever-larger computer centers to support AI. This book challenges the assumptions behind those huge investments and explains why the generative AI that is making all the news is over-rated.Computer power crossing a threshold allowed deep neural nets to be practical, and they have indeed been used effectively for many limited applications. Meisel discusses the "next big thing" that exponential growth in computer processing speed will allow. The book provides a realistic description of what we can expect as computer power grows ever more quickly than most past innovations, with major impacts on society, the economy, and competition between countries.
Graded Logic
Observable human commonsense reasoning can be modeled with graded propositional logic. Our approach is distinctive in that all mathematical models are directly linked to specific, observable, and explainable mental activities. Decision-makers evaluate alternatives through perceived gradations of truth, importance, suitability, simultaneity, and substitutability. Each graded variable has a semantic identity, reflecting its role and meaning tied to the goals and interests of a specific decision-maker. Graded logic was introduced 50 years ago, and this book presents its current status based on a half-century of improvements and applications. The book includes examples of decision problems solved using graded logic models. Our aim is to provide readers with a solid theoretical foundation in graded propositional calculus, enabling them to confidently apply the LSP method on complex evaluation and decision problems. Additionally, the book suggests numerous directions for future research and applications.
Vector Calculus
This unique compendium deals with the differentiation and integration of vector functions. It examines critical effects and extracts important features using powerful tools of differentiation and integration. Techniques and codes for computing the divergence, curl, and gradients of a given field function, which reveal the mathematical behavior of the vector field, are discussed. Green's theorem, Stokes's theorem, and Gauss's formula, along with their novel extensions, are presented in detail with applications such as the smoothed gradient method.Written in Jupyter notebook format, the book offers a unified environment for theory description, code execution, and real-time interaction, making it ideal for reading, practicing, and further exploration.
Advanced Technologies in Electronics, Communications and Signal Processing
This book LNICST 620 constitutes the proceedings of the First EAI International Conference on Advanced Technologies in Electronics, Communications and Signal Processing, ICATECS 2024, held in Hyderabad, India, during July 26-27, 2024. The 65 full papers were carefully reviewed and selected from 210 submissions. They were categorized under the topical sections as follows: Wireless Communication and IoT; RF and Signal processing; VLSI System Design; Machine Learning and Deep Learning Applications.
Advanced Technologies in Electronics, Communications and Signal Processing
This book LNICST 619 constitutes the proceedings of the First EAI International Conference on Advanced Technologies in Electronics, Communications and Signal Processing, ICATECS 2024, held in Hyderabad, India, during July 26-27, 2024. The 65 full papers were carefully reviewed and selected from 210 submissions. They were categorized under the topical sections as follows: Wireless Communication and IoT; RF and Signal processing; VLSI System Design; Machine Learning and Deep Learning Applications.
Computer Animation and Social Agents
The LNCS 15915 constitutes the proceedings from the 38th International Conference on Computer Animation and Social Agents, CASA 2025, held in Strasbourg, France, during June 2-4, 2025. The 20 papers (17 from the main conference and 3 from the AniNex workshop) presented were carefully reviewed and selected from 82 submissions. These papers focus on various aspects of Computer Animation and Social Agents, such as Motion Capture & Retargeting, Physics-based Animation, Vision-based Techniques, Behavioral Animation, Facial Animation, Image-based Animation, Virtual Humans, Crowd Simulation, AI-based Animation, Deep Learning Methods, Virtual Humans and Avatars, and 3D Physiological Humans.
Computational Methods in Systems Biology
This book constitutes the refereed proceedings of the 23rd International Conference on Computational Methods in Systems Biology, CMSB 2025, which took place in Lyon, France, during September 10-12, 2025. The 21 full papers presented in this volume were carefully reviewed and selected from 34 submissions sent to reviews. They are grouped into the following topics: Boolean Networks; Continuous and Hybrid models; Rule-based models; Model inference and machine learning; Population models and control.
Database and Expert Systems Applications - Dexa 2025 Workshops
This volume constitutes the refereed proceedings of the 7th International Workshop on AI System Engineering: Math, Modelling and Software, AISys 2025 and the First International Workshop on Optimisation of Industrial Production with AI Algorithms, AI4IP, co-located with the 36th International Conference on Database and Expert Systems Applications, DEXA 2025, which took place in Bangkok, Thailand, during August 25-27, 2025.The 11 full papers were thoroughly reviewed and selected from a total of 23 submissions. They are organized in topical sections as follows: AI System Engineering: Math, Modelling and Software; and Optimization of Industrial Production with AI Algorithms.
Advances in Cryptology - Crypto 2025
The 8-volume set LNCS 16000-16008 constitutes the proceedings of the 45th Annual International Cryptology Conference, CRYPTO 2025, which took place in Santa Barbara, CA, USA, during August 17-21, 2025. The total of 156 full papers presented in the proceedings was carefully reviewed and selected from 643 submissions. They focus on cryptographic topics such as foundational theory and mathematics; the design, proposal, and analysis of cryptographic primitives and protocols; secure implementation and optimization in hardware or software; applied aspects of cryptography.
Artificial Intelligence for Fault Detection and Diagnosis
Fault detection and diagnosis (FDD) is an important task in manufacturing and mechatronic systems for reducing costs and improving productivity. Traditionally, the states of machines and their faults are manually checked, a process which is time-consuming and expensive. Therefore, it is desirable to develop intelligent systems to achieve automatic FDD. Artificial intelligence as a concept covers a wide range of algorithms that mimic the human mind, thinking and acting like humans to solve important tasks in different fields. In recent years, many AI algorithms have been applied to FDD, including data processing, feature analysis, and classification. Typical methods include deep neural networks, long short-term memory, convolutional neural networks, random forest, and evolutionary computation. However, the potential of AI has not been comprehensively investigated in FDD. This remains a challenging task due to many factors, such as changeable equipment working states, incomplete information, a lack of sufficient training data, complex relationships between faults and symptoms, imbalanced data, and the requirement of having domain knowledge. This reprint is a collection of research regarding AI techniques applied to various FDD tasks.
Fuzzy Sets and Fuzzy Systems
Over time, the concepts of cost, time, delivery, space, quality, durability, and price began to gain more significance in the emerging trends of information technology when it comes to solving managerial decision-making problems in supply chain models, transportation issues, inventory control issues, and related areas. In uncertain situations, competition is becoming more difficult by the day. For instance, a number of diverse aspects, such as the cost of manufacturing and one's degree of income, frequently influence consumer demand. In these situations, the demand is either still unmet or remarkably difficult to meet in the real-world market. Due to their numeric membership functions, fuzzy sets cannot always represent this uncertainty explicitly. However, it has been discovered that type two, random fuzzy, bifuzzy, and fuzzy random sets are more suited to account for intrinsic uncertainty. These various fuzzy systems are able to manage greater degrees of ambiguity in increasingly difficult real-world issues. However, it is crucial to employ optimization techniques in order to obtain the ideal design as diverse fuzzy systems grow more complicated to conceive. This Reprint highlights novel modeling techniques and fuzzy optimization strategies applied to real-world problems, including sustainable green supply chain systems, relief logistics under uncertainty, and cloud-based software prediction, alongside theoretical developments in fuzzy systems.
Algorithms for Games AI
Games have long been excellent benchmarks for AI algorithms for two reasons. Initially, games are developed to assess and challenge human intelligence, and the variety of games can provide a rich context for evaluating different cognitive and decision-making abilities. Secondly, addressing complex real-world challenges often requires repeated trial and error, which can be very costly. Games offer a low-cost or even zero-cost platform for validating various algorithms and solutions by simulating or emulating real-world scenarios. Algorithms initially developed for gaming are subsequently applied to various real-world problems, generating social benefits across all aspects of life. This Special Issue, entitled "Algorithms for Game AI", explores new and innovative approaches for addressing challenges in game AI. These approaches range from traditional algorithms like planning and searching to modern algorithms such as deep reinforcement learning. The papers in this Special Issue address both the theoretical and practical challenges of the application of these algorithms. This reprint presents eleven papers covering a wide range of game AI topics, including the quantification of non-transitivity in chess, the expressiveness of level generators in Super Mario Bros, Mahjong as a new game AI benchmark, new MARL algorithms to reduce Q-value bias, surveys of various AI algorithms in cyber defense, energy areas and games, the application of MCTS in Amazons, the application of deep reinforcement learning in autonomous vehicle driving, and the application of transformers in both offline RL and imitation learning.