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Intelligent Microservices


Intelligent Microservices
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Optimization Theory Based On Neutrosophic And Plithogenic Sets


Optimization Theory Based On Neutrosophic And Plithogenic Sets
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Author : Florentin Smarandache
language : en
Publisher: Academic Press
Release Date : 2020-01-14

Optimization Theory Based On Neutrosophic And Plithogenic Sets written by Florentin Smarandache and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-14 with Mathematics categories.


Optimization Theory Based on Neutrosophic and Plithogenic Sets presents the state-of-the-art research on neutrosophic and plithogenic theories and their applications in various optimization fields. Its table of contents covers new concepts, methods, algorithms, modelling, and applications of green supply chain, inventory control problems, assignment problems, transportation problem, nonlinear problems and new information related to optimization for the topic from the theoretical and applied viewpoints in neutrosophic sets and logic. - All essential topics about neutrosophic optimization and Plithogenic sets make this volume the only single source of comprehensive information - New and innovative theories help researchers solve problems under diverse optimization environments - Varied applications address practitioner fields such as computational intelligence, image processing, medical diagnosis, fault diagnosis, and optimization design



Proceedings Of The 6th China Aeronautical Science And Technology Conference


Proceedings Of The 6th China Aeronautical Science And Technology Conference
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Author : Chinese Soc. of Aeronautics&Astronautics
language : en
Publisher: Springer Nature
Release Date : 2023-12-20

Proceedings Of The 6th China Aeronautical Science And Technology Conference written by Chinese Soc. of Aeronautics&Astronautics and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-20 with Technology & Engineering categories.


This book contains the original peer-reviewed research papers presented at the 6th China Aeronautical Science and Technology Conference held in Wuzhen, Zhejiang Province, China, in September 2023. Topics covered include but are not limited to Navigation/Guidance and Control Technology, Aircraft Design and Overall Optimisation of Key Technologies, Aviation Testing Technology, Airborne Systems/Electromechanical Technology, Structural Design, Aerodynamics and Flight Mechanics, Advanced Aviation Materials and Manufacturing Technology, Advanced Aviation Propulsion Technology, and Civil Aviation Transportation. The papers presented here share the latest findings in aviation science and technology, making the book a valuable resource for researchers, engineers and students in related fields.



Intelligent Microservices


Intelligent Microservices
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Author : Anil Kumar Sharma
language : en
Publisher:
Release Date : 2025-10-23

Intelligent Microservices written by Anil Kumar Sharma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-23 with Technology & Engineering categories.




Microservices And Automation Excellence Full Stack Development For The Intelligent Enterprise 2025


Microservices And Automation Excellence Full Stack Development For The Intelligent Enterprise 2025
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Author : AUTHOR:1-VAMSI KRISNA KONDREDDY, AUTHOR:2-DR DEEPENDRA RASTOGI
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Microservices And Automation Excellence Full Stack Development For The Intelligent Enterprise 2025 written by AUTHOR:1-VAMSI KRISNA KONDREDDY, AUTHOR:2-DR DEEPENDRA RASTOGI and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


PREFACE In an era defined by agility, intelligence, and automation, modern software architectures have undergone a dramatic transformation. Enterprises are increasingly moving beyond monolithic systems to embrace microservices, serverless functions, and event-driven platforms. This paradigm shift is not only architectural but deeply cultural—blending DevOps philosophies, AI-driven insights, and cloud-native technologies to create intelligent, self-optimizing ecosystems. Microservices and Automation Excellence: Full-Stack Development for the Intelligent Enterprise is the result of years of research, practical experience, and emerging trends observed across industries—from finance and healthcare to logistics and retail. This book was written with a singular goal: to provide a structured, practitioner-focused roadmap for engineers, architects, and leaders who are building the next generation of distributed, scalable, and intelligent applications. Across twelve comprehensive chapters, we explore a wide spectrum of topics—ranging from the fundamentals of microservices and CI/CD pipelines to innovative concepts like AIOps, platform engineering, and edge-native microservices. Each chapter is designed to be modular, enriched with real-world examples, industry case studies, tool comparisons, and the latest insights from the field. Whether you’re an architect designing resilient systems, a DevOps engineer automating delivery pipelines, or a product leader aligning technology with business goals, this book aims to serve as both a foundational guide and a forward-looking companion. We hope this work not only informs your decisions but also inspires new thinking around how to build and operate software in a world increasingly powered by intelligence, autonomy, and scale. In addition, the book addresses the ethical challenges and privacy concerns associated with voice recognition technologies. While the potential for these tools is vast, they raise important questions about data security, user consent, and the potential for misuse. As we look to the future, we must balance innovation with responsibility to ensure that these technologies serve the broader interests of society. The purpose of this book is not only to present the current state of the art in generative AI for voice recognition but also to offer a forward-looking perspective on the trends and research directions that will shape the next generation of voice-enabled applications. With emerging technologies such as neural text-to-speech (TTS), multilingual speech models, and real-time voice translation, the possibilities seem limitless, and the need for understanding these advanced AI applications is more pressing than ever. Whether you are a researcher seeking a deep understanding of generative AI in voice recognition or a developer looking for practical knowledge to build the next big voice-enabled application, this book aims to provide the knowledge and insights needed to navigate this exciting and transformative field. The world of voice recognition is evolving at an astonishing pace, and with the help of generative AI, we are only beginning to scratch the surface of its potential. Join us on this journey through the realm of voice recognition and generative AI, where we will explore the technologies, applications, and innovations that are defining the future of human-computer interaction. Authors Vamsi Krisna Kondreddy Dr Deependra Rastogi



Machine Learning In Microservices


Machine Learning In Microservices
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Author : Mohamed Abouahmed
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-03-10

Machine Learning In Microservices written by Mohamed Abouahmed and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-10 with Computers categories.


Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent microservices systems using examples and case studies Purchase of the print or Kindle book includes a free PDF eBook Key FeaturesDesign, build, and run microservices systems that utilize the full potential of machine learningDiscover the latest models and techniques for combining microservices and machine learning to create scalable systemsImplement machine learning in microservices architecture using open source applications with pros and consBook Description With the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems. Machine Learning in Microservices is your essential guide to staying ahead of the curve in this ever-evolving world of technology. The book starts by introducing you to the concept of machine learning microservices architecture (MSA) and comparing MSA with service-based and event-driven architectures, along with how to transition into MSA. Next, you'll learn about the different approaches to building MSA and find out how to overcome common practical challenges faced in MSA design. As you advance, you'll get to grips with machine learning (ML) concepts and see how they can help better design and run MSA systems. Finally, the book will take you through practical examples and open source applications that will help you build and run highly efficient, agile microservices systems. By the end of this microservices book, you'll have a clear idea of different models of microservices architecture and machine learning and be able to combine both technologies to deliver a flexible and highly scalable enterprise system. What you will learnRecognize the importance of MSA and ML and deploy both technologies in enterprise systemsExplore MSA enterprise systems and their general practical challengesDiscover how to design and develop microservices architectureUnderstand the different AI algorithms, types, and models and how they can be applied to MSAIdentify and overcome common MSA deployment challenges using AI and ML algorithmsExplore general open source and commercial tools commonly used in MSA enterprise systemsWho this book is for This book is for machine learning solution architects, system and machine learning developers, and system and solution integrators of private and public sector organizations. Basic knowledge of DevOps, system architecture, and artificial intelligence (AI) systems is assumed, and working knowledge of the Python programming language is highly desired.



Comptia Cloud Essentials Certification Study Guide Second Edition Exam Clo 002


Comptia Cloud Essentials Certification Study Guide Second Edition Exam Clo 002
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Author : Daniel Lachance
language : en
Publisher: McGraw Hill Professional
Release Date : 2020-02-28

Comptia Cloud Essentials Certification Study Guide Second Edition Exam Clo 002 written by Daniel Lachance and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.


Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. The best IT certification exam study system available Filled with hands-on exercises and practice exam questions, CompTIA Cloud Essentials+TM Certification Study Guide, Second Edition (Exam CLO-002) covers what you need to know—and shows you how to prepare—for this challenging exam. 100% complete coverage of all official objectives for exam CLO-002 Exam Readiness checklist—you’re ready for the exam when all objectives on the list are checked off Exam Watch notes call attention to information about, and potential pitfalls in, the exam Two-Minute Drills for quick review at the end of every chapter Simulated exam questions match the format, tone, topics, and difficulty of the real exam Covers all the exam topics, including: The Principles of Cloud Computing • The Business Side of Cloud Computing • Cloud Planning • Compliance and the Cloud • Cloud Storage Infrastructure • Cloud Network Infrastructure • Cloud Computing Infrastructure • Applications and Big Data in the Cloud • Cloud DevOps • Security and the Cloud • Managing Cloud Risk Online content includes: Test engine that provides full-length practice exams and customized quizzes by chapter or by exam domain Access to entire book PDF



Cissp All In One Exam Guide Ninth Edition


Cissp All In One Exam Guide Ninth Edition
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Author : Fernando Maymi
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-11-12

Cissp All In One Exam Guide Ninth Edition written by Fernando Maymi and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-12 with Computers categories.


A new edition of Shon Harris’ bestselling exam prep guide―fully updated for the 2021 version of the CISSP exam Thoroughly updated for the latest release of the Certified Information Systems Security Professional exam, this comprehensive resource covers all objectives in the 2021 CISSP exam developed by the International Information Systems Security Certification Consortium (ISC)2®. CISSP All-in-One Exam Guide, Ninth Edition features learning objectives at the beginning of each chapter, exam tips, practice questions, and in-depth explanations. Written by leading experts in information security certification and training, this completely up-to-date self-study system helps you pass the exam with ease and also serves as an essential on-the-job reference. Covers all 8 CISSP domains: Security and risk management Asset security Security architecture and engineering Communication and network security Identity and access management (IAM) Security assessment and testing Security operations Software development security Online content includes: 1400+ practice exam questions Graphical question quizzes Test engine that provides full-length practice exams and customizable quizzes by chapter or exam domain Access to Flash cards



Future Proof Microservices Advanced Patterns And Ai Optimized Design


Future Proof Microservices Advanced Patterns And Ai Optimized Design
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Author : Radhakrishnan Arikrishna Perumal
language : en
Publisher: Radhakrishnan Arikrishna Perumal
Release Date : 2024-07-12

Future Proof Microservices Advanced Patterns And Ai Optimized Design written by Radhakrishnan Arikrishna Perumal and has been published by Radhakrishnan Arikrishna Perumal this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Computers categories.


Future-Proof Microservices: Advanced Patterns and AI-Optimized Design 🚀 Master the Future of Microservices with AI-Powered Architecture! In today’s rapidly evolving tech landscape, microservices are no longer just a trend—they are the backbone of modern, scalable, and resilient applications. Future-Proof Microservices: Advanced Patterns and AI-Optimized Design is the definitive guide for software architects, developers, and technology leaders who want to build next-generation microservices that are intelligent, efficient, and future-ready.



Natural Language Processing In Action Second Edition


Natural Language Processing In Action Second Edition
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Author : Hobson Lane
language : en
Publisher: Simon and Schuster
Release Date : 2025-02-25

Natural Language Processing In Action Second Edition written by Hobson Lane and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Computers categories.


Develop your NLP skills from scratch, with an open source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your own Large Language Models. Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you’ll discover state-of-the art Natural Language Processing (NLP) models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. You’ll create NLP tools that can detect fake news, filter spam, deliver exceptional search results and even build truthfulness and reasoning into Large Language Models (LLMs). In Natural Language Processing in Action, Second Edition you will learn how to: • Process, analyze, understand, and generate natural language text • Build production-quality NLP pipelines with spaCy • Build neural networks for NLP using Pytorch • BERT and GPT transformers for English composition, writing code, and even organizing your thoughts • Create chatbots and other conversational AI agents In this new and revised edition, you’ll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. Plus, you’ll discover vital skills and techniques for optimizing LLMs including conversational design, and automating the “trial and error” of LLM interactions for effective and accurate results. About the technology From nearly human chatbots to ultra-personalized business reports to AI-generated email, news stories, and novels, natural language processing (NLP) has never been more powerful! Groundbreaking advances in deep learning have made high-quality open source models and powerful NLP tools like spaCy and PyTorch widely available and ready for production applications. This book is your entrance ticket—and backstage pass—into the next generation of natural language processing. About the book Natural Language Processing in Action, Second Edition introduces the foundational technologies and state-of-the-art tools you’ll need to write and publish NLP applications. You learn how to create custom models for search, translation, writing assistants, and more, without relying on big commercial foundation models. This fully updated second edition includes coverage of BERT, Hugging Face transformers, fine-tuning large language models, and more. What's inside • NLP pipelines with spaCy • Neural networks with PyTorch • BERT and GPT transformers • Conversational design for chatbots About the reader For intermediate Python programmers familiar with deep learning basics. About the author Hobson Lane is a data scientist and machine learning engineer with over twenty years of experience building autonomous systems and NLP pipelines. Maria Dyshel is a social entrepreneur and artificial intelligence expert, and the CEO and cofounder of Tangible AI. Cole Howard and Hannes Max Hapke were co-authors of the first edition.



Ai And Microservices


Ai And Microservices
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Author : Dileep Kumar Pandiya
language : en
Publisher: Springer Nature
Release Date : 2025-07-01

Ai And Microservices written by Dileep Kumar Pandiya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Computers categories.


This book explores how artificial intelligence (AI) is transforming the design and operation of microservices and API architecture. It provides a clear and practical guide to using AI to automate tasks, enhance performance, and improve the scalability of microservice-based systems. Starting with the basics, you will learn about the core concepts of microservices and API design, gradually building an understanding of how AI can be seamlessly integrated. Through real-world examples, visual diagrams, and mock APIs, the book shows you how to bring theory into practice, making complex systems easier to manage and more efficient. You will also discover strategies for testing and scaling systems, securing APIs, and addressing ethical challenges in AI-powered environments. Case studies highlight successful implementations, offering valuable insights you can apply to your own projects. Whether you're a developer, architect, or tech enthusiast, this book gives you the tools and inspiration to build smarter, more resilient systems while staying ahead of future trends in AI and distributed computing. What You'll Learn: Understand the basics of microservices and API design and see how AI can make these systems smarter and more efficient. Discover how to use AI in microservices and APIs to automate tasks, improve performance, and boost security. Learn how to design scalable and secure systems by following best practices and innovative approaches. Get practical tips on troubleshooting and solving challenges in AI-powered microservice architectures. Who is this book for: Software architects and engineers, AI and machine learning professionals, and DevOps engineers