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Natural Language Interfaces to Databases (Synthesis Lectures on Data Management)
by Yunyao Li Dragomir Radev Davood RafieiThis book presents a comprehensive overview of Natural Language Interfaces to Databases (NLIDBs), an indispensable tool in the ever-expanding realm of data-driven exploration and decision making. After first demonstrating the importance of the field using an interactive ChatGPT session, the book explores the remarkable progress and general challenges faced with real-world deployment of NLIDBs. It goes on to provide readers with a holistic understanding of the intricate anatomy, essential components, and mechanisms underlying NLIDBs and how to build them. Key concepts in representing, querying, and processing structured data as well as approaches for optimizing user queries are established for the reader before their application in NLIDBs is explored. The book discusses text to data through early relevant work on semantic parsing and meaning representation before turning to cutting-edge advancements in how NLIDBs are empowered to comprehend and interpret human languages. Various evaluation methodologies, metrics, datasets and benchmarks that play a pivotal role in assessing the effectiveness of mapping natural language queries to formal queries in a database and the overall performance of a system are explored. The book then covers data to text, where formal representations of structured data are transformed into coherent and contextually relevant human-readable narratives. It closes with an exploration of the challenges and opportunities related to interactivity and its corresponding techniques for each dimension, such as instances of conversational NLIDBs and multi-modal NLIDBs where user input is beyond natural language. This book provides a balanced mixture of theoretical insights, practical knowledge, and real-world applications that will be an invaluable resource for researchers, practitioners, and students eager to explore the fundamental concepts of NLIDBs.
Natural Language Processing: A Textbook with Python Implementation
by Raymond S. LeeThis textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key applications. Further, it contains seven step-by-step NLP workshops (total length: 14 hours) offering hands-on practice with essential Python tools like NLTK, spaCy, TensorFlow Kera, Transformer and BERT.The objective of this book is to provide readers with a fundamental grasp of NLP and its core technologies, and to enable them to build their own NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and NLP tool-book intended for the following readers: undergraduate students from various disciplines who want to learn NLP; lecturers and tutors who want to teach courses or tutorials for undergraduate/graduate students on NLP and related AI topics; and readers with various backgrounds who want to learn NLP, and more importantly, to build workable NLP applications after completing its 14 hours of Python-based workshops.
Nature-Inspired Methods for Smart Healthcare Systems and Medical Data
by Ahmed M. Anter Mohamed Elhoseny Anuradha D. ThakareThis book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry use. It explores the recent theoretical and practical applications of metaheuristics and optimization in various smart healthcare contexts. The book also discusses the capability of optimization techniques to obtain optimal parameters in ML and DL technologies. It provides an open platform for academics and engineers to share their unique ideas and investigate the potential convergence of existing systems and advanced metaheuristic algorithms. The book's outcome will enable decision-makers and practitioners to select suitable optimization approaches for scheduling patients in crowded environments with minimized human errors.The healthcare system aims to improve the lives of disabled, elderly, sick individuals, and children. IoT-based systems simplify decision-making and task automation, offering an automated foundation. Nature-inspired metaheuristics and mining algorithms are crucial for healthcare applications, reducing costs, increasing efficiency, enabling accurate data analysis, and enhancing patient care. Metaheuristics improve algorithm performance and address challenges in data mining and ML, making them essential in healthcare research. Real-time IoT-based healthcare systems can be modeled using an IoT-based metaheuristic approach to generate optimal solutions.Metaheuristics are powerful technologies for optimization problems in healthcare systems. They balance exact methods, which guarantee optimal solutions but require significant computational resources, with fast but low-quality greedy methods. Metaheuristic algorithms find better solutions while minimizing computational time. The scientific community is increasingly interested in metaheuristics, incorporating techniques from AI, operations research, and soft computing. New metaheuristics offer efficient ways to address optimization problems and tackle unsolved challenges. They can be parameterized to control performance and adjust the trade-off between solution quality and resource utilization. Metaheuristics manage the trade-off between performance and solution quality, making them highly applicable to real-time applications with pragmatic objectives.
Nature of Computation and Communication: 9th EAI International Conference, ICTCC 2023, Ho Chi Minh City, Vietnam, October 26-27, 2023, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #586)
by Phan Cong Vinh Hafiz Mahfooz Ul HaqueThis book constitutes the refereed post-conference proceedings of the 9th International Conference on Nature of Computation and Communication, ICTCC 2023, held in Ho Chi Minh City, Vietnam, in October 2023. The 12 revised full papers presented were carefully selected from 30 submissions. The papers of ICTCC 2023 cover formal methods for self-adaptive systems and discuss natural approaches and techniques for natural computing systems and their applications.
Navigating Insurtech: Opportunities and Challenges in Digital Insurance
by Janthana KaenprakhamroyNavigating Insurtech demystifies the insurtech ecosystem, providing insurance professionals with a comprehensive understanding of the industry and its key players, components, challenges and opportunities. The insurtech landscape is highly complex and constantly evolving, making it difficult to fully understand its opportunities and challenges. Yet insurance companies that fail to evolve and grasp advancements in insurtech could risk losing market share and suffer reputational damage. This book offers practical guidance for insurance companies looking to implement insurtech solutions, supported throughout by real-life case studies, insights and interviews from industry leaders and experts. It examines key developments, such as customer experience, risk management, distribution channels and transformative technologies such as blockchain, IoT and AI. It also looks at the investment landscape, offering insights into successful insurtech investments, opportunities and challenges of investing in insurtech startups.To succeed in insurtech, organizations must have a deep understanding of the industry and the technologies involved, as well as the ability to build strong partnerships with other players in the ecosystem. Navigating Insurtech is an essential read for insurance and insurtech professionals, investors and anyone else interested in the developments of insurtech.
.NET MAUI Cross-Platform Application Development: Build high-performance apps for Android, iOS, macOS, and Windows using XAML and Blazor with .NET 8
by Roger YeBuild apps using .NET MAUI and Blazor with this comprehensive, revised guide for .NET 8. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesHandle data effectively with expanded coverage on the MVVM model and data bindingIntegrate platform-specific code using plugins and custom controlsMigrate from Xamarin.Forms to .NET MAUI for the latest hybrid app development capabilitiesBook DescriptionAn evolution of Xamarin.Forms, .NET MAUI is a cross-platform framework for creating native mobile and desktop apps with C# and XAML. Using .NET MAUI, you can develop apps that’ll run on Android, iOS, macOS, and Windows from a single shared codebase. In this revised edition of .NET MAUI Cross-Platform Application Development you will be introduced to .NET 8 and get up to speed with app development in no time. The book begins by showing you how to develop a cross-platform application using .NET MAUI, including guidance for migrating from Xamarin.Forms. You’ll gain all the knowledge needed to create a cross-platform application for Android, iOS, macOS, and Windows following an example project step by step. As you advance, you’ll integrate the latest frontend technology into your app using Blazor components, including the new Blazor Bindings feature. After this, you’ll learn how to test and deploy your apps. With new coverage on creating mock .NET MAUI components, you can develop unit tests for your application. You will additionally learn how to perform Razor component testing using bUnit. By the end of this book, you’ll have learned how to develop your own cross-platform applications using .NET MAUI.What you will learnDevelop high-performance apps with logical user interfacesImprove the maintainability of apps using the MVVM design patternUnderstand the progression from Xamarin.Forms and how to migrate to .NETDelve into templated components and Razor class libraries for crafting Blazor UI elementsPublish your creations to major app stores with guidance on preparation and processesExtend your testing repertoire with bUnit for Razor components for reliable unit testingWho this book is forThis book is for mobile developers interested in cross-platform application development with working experience of the .NET Core framework, as well as junior engineers who’ve just begun their career in mobile app development. Native app developers (desktop) or Xamarin developers who want to migrate to .NET MAUI will also benefit from this book. Basic knowledge of modern object-oriented programming languages, such as C#, Java or Kotlin, is assumed.
Network Analysis and Architecture (Signals and Communication Technology)
by Yu-Chu Tian Jing GaoThis book covers network analysis and architecture for large-scale computer network planning. Networks and the Internet are essential for modern industries and societies. Building a new network, upgrading an existing network, or planning to use a public network requires integrating various network mechanisms and technologies in a cohesive fashion. This demands a deep understanding of the concepts, principles, processes, approaches, and good practices of advanced network planning. More specifically, emphasizing service-based networking, the book introduces structured processes for network planning, provides systematic approaches for network analysis and architecture, develops network planning specifications, and discusses high-level network architectural models from various perspectives. It also offers detailed discussions on component-based architecture about addressing, routing, performance, management, and security and privacy. Recent developments in data centers, virtualization, and cloud are also embedded into the network architecture. Moreover, the book includes a comprehensive introduction to building practical TCP/IP network communications via sockets with practical examples. The book is suitable for use as a textbook for senior undergraduate and postgraduate students or as a reference book for network practitioners looking to develop or enhance their skills in network planning.
Networking Fundamentals
by Chuck Easttom Richard M. RobertsNetworking Fundamentals provides a foundation for individuals wishing to pursue a career in information technology with a specific focus on networking and network administration. The introductory text guides students through the basics of networking, such as topographies, media, subnetting, servers, and design. Networking Fundamentals is aligned to the CompTIA Network+ N10-008 Certification Exam objectives. The CompTIA Network+ Exam is a CompTIA Core Skills Certification, which provides a groundwork for future career growth. By studying Networking Fundamentals and using the ancillary study guide and lab manual, students can improve their chances of earning an industry-recognized certification that will help jumpstart their careers.
Networks Attack Detection on 5G Networks using Data Mining Techniques (Wireless Communications and Networking Technologies)
by Sagar Dhanraj Pande Aditya KhampariaArtificial intelligence (AI) and its applications have risen to prominence as one of the most active study areas in recent years. In recent years, a rising number of AI applications have been applied in a variety of areas. Agriculture, transportation, medicine, and health are all being transformed by AI technology. The Internet of Things (IoT) market is thriving, having a significant impact on a wide variety of industries and applications, including e-health care, smart cities, smart transportation, and industrial engineering. Recent breakthroughs in artificial intelligence and machine learning techniques have reshaped various aspects of artificial vision, considerably improving the state of the art for artificial vision systems across a broad range of high-level tasks. As a result, several innovations and studies are being conducted to improve the performance and productivity of IoT devices across multiple industries using machine learning and artificial intelligence. Security is a primary consideration when analyzing the next generation communication network due to the rapid advancement of technology. Additionally, data analytics, deep intelligence, deep learning, cloud computing, and intelligent solutions are being employed in medical, agricultural, industrial, and health care systems that are based on the Internet of Things. This book will look at cutting-edge Network Attacks and Security solutions that employ intelligent data processing and Machine Learning (ML) methods.This book: Covers emerging technologies of network attacks and management aspects. Presents artificial intelligence techniques for networks and resource optimization, and toward network automation, and security. Showcases recent industrial and technological aspects of next-generation networks Illustrates artificial intelligence techniques to mitigate cyber-attacks, authentication, and authorization challenges. Explains smart, and real-time monitoring services, multimedia, cloud computing, and information processing methodologies in 5G networks. It is primarily for senior undergraduates, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
Netzwerken mit XING und LinkedIn für Dummies (Für Dummies)
by Stephan Koß Constanze WolffDas Einmaleins des professionellen Netzwerkens Professionelles Netzwerken ist mehr als die Erstellung eines Profils bei XING und LinkedIn. Stephan Koß und Constanze Wolff helfen Ihnen, das Potenzial von XING und LinkedIn auszuschöpfen. Beginnend bei der Registrierung geben die beiden Ihnen Tipps zum Kontaktmanagement, erklären, wie Sie ein Unternehmensprofil anlegen, sich als Profi positionieren und spannende Inhalte oder Kontakte finden. So lernen Sie, wie Sie XING und LinkedIn wirkungsvoll für Ihre Zwecke nutzen – egal ob Sie selbstständig sind, im Marketing oder Vertrieb angestellt, einen Job suchen oder sich als Arbeitgeber präsentieren möchten. Sie erfahren Was professionelles Netzwerken ist Wie Sie ein Business-Profil aufbauen Wie Sie Kundschaft, Inhalte, Jobs oder Mitarbeitende finden Wie Sie sich als Profi positionieren
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VII (Communications in Computer and Information Science #1961)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part III (Lecture Notes in Computer Science #14449)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XIII (Communications in Computer and Information Science #1967)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VI (Lecture Notes in Computer Science #14452)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VIII (Communications in Computer and Information Science #1962)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14447)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part IV (Lecture Notes in Computer Science #14450)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XII (Communications in Computer and Information Science #1966)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part IX (Communications in Computer and Information Science #1963)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XI (Communications in Computer and Information Science #1965)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part II (Lecture Notes in Computer Science #14448)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XIV (Communications in Computer and Information Science #1968)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part V (Lecture Notes in Computer Science #14451)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part X (Communications in Computer and Information Science #1964)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XV (Communications in Computer and Information Science #1969)
by Biao Luo Long Cheng Zheng-Guang Wu Hongyi Li Chaojie LiThe nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.