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Design Science Research Methods and Patterns: Innovating Information and Communication Technology, 2nd Edition
by Vijay K. Vaishnavi William KuechlerPresenting innovative research methods, this second edition of a bestseller describes a simple and practical methodology for conducting cutting-edge design science research (DSR). It provides comprehensive guidance on how to conduct such research and provides in-depth treatment of design science theory and the different types of theory that can be generated in design science research. Making novel use of the concept of patterns, it presents 84 research patterns for conducting effective DSR. It emphasizes design science theory throughout and is filled with practical examples of using patterns to conduct IT research.
PgMP Exam Challenge! (ESI International Project Management Series)
by Ginger Levin PMP PgMP J. LeRoy Ward PMP PgMPUp to date with the third edition of PMI's Program Management Standard, The PgMP Exam Challenge! contains more than 300 practice questions to help readers hone their knowledge and test their skills. It covers all five of the program management domains: Strategic Program Management, Program Management Life Cycle, Benefits Management, Stakeholder Management, and Governance. It also examines all of the sub domains of the lifecycle domain. With an easy-to-use format, this is an ideal resource for those preparing to take the PgMP exam.
Intelligent Cities: Enabling Tools and Technology
by Pethuru Raj Anupama C. RamanThe emergence of highly promising and potent technologies has enabled the transition of ordinary objects into smart artifacts-providing wider connectivity of digitized entities that can facilitate the building of connected cities. This book provides readers with a solid foundation on the latest technologies and tools required to develop and enhance smart cities around the world. The book begins by examining the rise of the cloud as the fundamental technology for establishing and sustaining smart cities and enterprises. Explaining the principal technologies and platform solutions for implementing intelligent cities, the book details the role of various technologies, standards, protocols, and tools in establishing flexible homes and the buildings of the future. Examines IT platforms and tools from various product vendors Considers service-oriented architecture and event-driven architecture for smart city applications Explains how to leverage big data analytics for smart city enhancement and improved decision making Includes case studies of intelligent cities, smart homes, buildings, transports, healthcare systems, and airports The authors explore the convergence of cloud computing and enterprise architecture and present valuable information on next-generation cloud computing. They also cover the various architectural types, including enterprise-scale integration, security, management, and governance. The book concludes by explaining the various security requirements of intelligent cities as well as the threats and vulnerabilities of the various components that form the basis of the intelligent city framework, including cloud, big data, Internet of Things, and mobile technologies.
Mobile Devices: Tools and Technologies
by Lauren Collins Scott R. EllisThis book provides readers at all levels of technical expertise with an understanding of mobile device concepts, application development processes, networking and infrastructure, and security methods. In chapters contributed by engineers with extensive real-world experience in the mobile and wireless field, the book offers insights into the tools and technologies critical to evaluating and implementing mobile strategies. The contributors illustrate proven best practices and methodologies using real-world case studies drawn from their extensive experiences with mobile software and infrastructures for enterprise customers.
Building an Enterprise-Wide Business Continuity Program
by Kelley OkolitaIf you had to evacuate from your building right now and were told you couldn't get back in for two weeks, would you know what to do to ensure your business continues to operate? Would your staff? Would every person who works for your organization? Increasing threats to business operations, both natural and man-made, mean a disaster could occur at any time. It is essential that corporations and institutions develop plans to ensure the preservation of business operations and the technology that supports them should risks become reality. Building an Enterprise-Wide Business Continuity Program goes beyond theory to provide planners with actual tools needed to build a continuity program in any enterprise. Drawing on over two decades of experience creating continuity plans and exercising them in real recoveries, including 9/11 and Hurricane Katrina, Master Business Continuity Planner, Kelley Okolita, provides guidance on each step of the process. She details how to validate the plan and supplies time-tested tips for keeping the plan action-ready over the course of time. Disasters can happen anywhere, anytime, and for any number of reasons. However, by proactively planning for such events, smart leaders can prepare their organizations to minimize tragic consequences and readily restore order with confidence in the face of such adversity.
Optimized Computational Intelligence Driven Decision-Making: Theory, Application and Challenges (Industry 5.0 Transformation Applications)
by Minakhi Rout S. Balamurugan Hrudaya Kumar Tripathy Sushruta Mishra Samaresh MishraThis book covers a wide range of advanced techniques and approaches for designing and implementing computationally intelligent methods in different application domains which is of great use to not only researchers but also academicians and industry experts. Optimized Computational Intelligence (OCI) is a new, cutting-edge, and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, biologically-inspired computation, software engineering, AI, cybernetics, cognitive science, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. OCI aims to apply modern computationally intelligent methods to generate optimum outcomes in various application domains. This book presents the latest technologies-driven material to explore optimized various computational intelligence domains. includes real-life case studies highlighting different advanced technologies in computational intelligence; provides a unique compendium of current and emerging hybrid intelligence paradigms for advanced informatics; reflects the diversity, complexity, and depth and breadth of this critical bio-inspired domain; offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in dealing with cognitive informatics challenges; presents a variety of intelligent and optimized techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional data analytics research in intelligent decision-making system dynamics; includes architectural models and applications-based augmented solutions for optimized computational intelligence. Audience The book will interest a range of engineers and researchers in information technology, computer science, and artificial intelligence working in the interdisciplinary field of computational intelligence.
Intelligent Techniques for Predictive Data Analytics
by Mohd Dilshad Ansari Shilpi Birla Neha Singh Neeraj Kumar ShuklaComprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.
Artificial Intelligence and Machine Learning in Drug Design and Development (Fintech in a Sustainable Digital Society)
by Manoj Kumar Anand Nayyar Abhirup Khanna May El Barachi Sapna JainThe book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.
CISSP For Dummies
by Peter H. Gregory Lawrence C. MillerShowcase your security expertise with the highly regarded CISSP certification The CISSP certification, held by more than 150,000 security professionals worldwide, is the gold standard of cybersecurity certifications. The CISSP Exam certifies cybersecurity professionals and opens doors for career advancement. Fully updated and revised to reflect the 2024 ISC2 CISSP Exam Outline, CISSP For Dummies is packed with helpful content for all eight security domains. This book includes access to online study tools such as practice questions and digital flashcards, boosting your likelihood of success on the exam. Plus, you'll feel prepared and ready for test day thanks to a 60-day study plan. Boost your security career with this Dummies study guide. Review all the content covered in the latest CISSP Exam Test with confidence and achieve your certification as a cybersecurity professional Study smarter, thanks to online practice resources and a 60-day study plan Enhance your career with the in-demand CISSP certification Continue advancing your career and the profession through speaking and mentoring opportunities With up-to-date content and valuable test prep features, this book is a one-and-done resource for any cybersecurity professional studying for the CISSP exam.
Intelligent Techniques for Predictive Data Analytics
by Mohd Dilshad Ansari Shilpi Birla Neha Singh Neeraj Kumar ShuklaComprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.
Combinatorial Optimization: 8th International Symposium, ISCO 2024, La Laguna, Tenerife, Spain, May 22–24, 2024, Revised Selected Papers (Lecture Notes in Computer Science #14594)
by Amitabh Basu Ali Ridha Mahjoub Juan José Salazar GonzálezThis book constitutes the refereed proceedings of the 8th International Symposium on Combinatorial Optimization, ISCO 2024, held in La Laguna, Tenerife, Spain, during May 22–24, 2024. The 30 full papers included in this book were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: integer programming; graph theory; parameterized algorithms; approximation algorithms; integer programming for machine learning; and applications.
Human Digital Twin: Exploring Connectivity and Security Issues (SpringerBriefs in Computer Science)
by Changyan Yi Jun Cai Samuel D. OkegbileHuman digital twin (HDT) is a transformative technology poised to transform various human-centric systems. With its potential applications in personalized healthcare, HDT promises swift, precise, and efficient healthcare services through the integration of cutting-edge technologies such as artificial intelligence, data analytics, internet of things, cybersecurity as well as virtual and augmented reality. This book addresses the critical gap in the existing literature by offering a comprehensive exploration of connectivity solutions for HDT while prioritizing reliability, security, and privacy. Key topics covered include the foundational concept of HDT, its design requirements and associated challenges, edge-assisted human-to-virtual solutions, blockchain-enabled data-sharing mechanisms, and differentially private federated multi-task learning (DPFML) methodologies tailored for HDT.The discussion on the concept of HDT encompasses an overview of its applications and its specific characteristics when compared to the conventional digital twin models. In addressing the design requirements and challenges of HDT, the text delves into the complexities of securing high-quality data, ensuring ultra-reliable and low-latency communication, data privacy and integrity, while managing storage, computation and analytics. Exploring edge-assisted human-to-virtual solutions, the book also introduces a connectivity framework and details the modeling process for human-to-virtual twin connectivity. The book later presents an in-depth examination of the practical Byzantine fault tolerance framework, followed by a discussion on shard-based Byzantine fault-tolerant schemes tailored for HDT, along with analyses of latency and throughput.Furthermore, the book outlines the framework for DPFML-assisted human-to-virtual twin connectivity, accompanied by a novel consensus algorithm known as the proof of model quality. Finally, it presents future research directions aimed at addressing communication challenges hindering the seamless design and development of HDT. By offering this comprehensive exploration, the book serves as a valuable resource for researchers, practitioners, and policymakers seeking to navigate the evolving landscape of HDT and its transformative potential in various domains.
Moral und künstliche Intelligenz im Marketing (Beiträge zur empirischen Marketing- und Vertriebsforschung)
by Robin PadeKonsumentendaten lassen sich zunehmend effektiv mit künstlicher Intelligenz (KI) kombinieren, um die Online Journey kalkuliert zu beeinflussen. Dieses Buch befasst sich anhand dreier Forschungsarbeiten mit den Fragen wann Marketing-KI Konsumentenentscheidungen vielmehr manipuliert als bereichert und wie Marketing-KI infolgedessen moralischer gestaltet werden kann. Die erste Forschungsarbeit untersucht, inwieweit Manipulationswahrnehmungen vom Menschenbild des Konsumenten abhängen. Hierfür werden zwei Studien mit 1.151 Teilnehmern durchgeführt. Daran anknüpfend stellt sich die Frage, ob Manager Konsumentenbilder auf opportunistische Weise instrumentalisieren, um Marketingaktivitäten zu legitimieren. Die zweite Forschungsarbeit kombiniert daher Methoden der Ökonometrie und des Natural Language Processing, um Menschenbilder von Managern aus Textdaten (33.407 Earnings Call Transkripte) zu analysieren. Die dritte Forschungsarbeit möchte Marketing-KI moralischer gestalten. Hierfür werden neuronale Netze mithilfe psychografischer Daten von 762 Teilnehmern trainiert, um faire personalisierte Preise anzubieten und Reaktionen mittels Laborexperiment (203 Probanden) zu untersuchen.
Structural Information and Communication Complexity: 31st International Colloquium, SIROCCO 2024, Vietri sul Mare, Italy, May 27–29, 2024, Proceedings (Lecture Notes in Computer Science #14662)
by Yuval EmekThis book constitutes the refereed proceedings of the 31th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2024, held in Haifa, Israel in May 2024. The 24 full papers and 6 short papers presented in this book were carefully reviewed and selected from 49 submissions. SIROCCO is devoted to the study of the interplay between structural knowledge, communication, and computing in decentralized systems of multiple communicating entities. Special emphasis is given to innovative approaches leading to better understanding of the relationship between computing and communication.
Proceedings of 4th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2023 (Lecture Notes in Networks and Systems #873)
by Vinit Kumar Gunjan Jacek M. ZuradaThe book is a collection of the best-selected research papers presented at the International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications (ICMISC 2023) held in September 2023 at the CMR Institute of Technology, Hyderabad, Telangana, India. This book will contain articles on current trends in machine learning, the internet of things, and smart city applications, emphasizing multi-disciplinary research in the area of artificial intelligence and cyberphysical systems. The book is a great resource for scientists, research scholars, and PG students to formulate their research ideas and find future directions in these areas. Further, this book serves as a reference work to understand the latest technologies used by practice engineers across the globe.
Mathematics and Computation in Music: 9th International Conference, MCM 2024, Coimbra, Portugal, June 18–21, 2024, Proceedings (Lecture Notes in Computer Science #14639)
by Thomas Noll Mariana Montiel Francisco Gómez Omar Costa Hamido José Luis Besada José Oliveira MartinsThis book constitutes the refereed proceedings of the 9th International Conference on Mathematics and Computation in Music, MCM 2024, held in Coimbra, Portugal, during June 18–21, 2024. The 30 full papers and 9 short papers included in this book were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: mathematical scale theory and tuning; rhythm analysis and rhythm generation; categorical and algebraic approaches to music; quantum music; theory and algorithms for melodic- harmonic analysis and generation; geometric approaches to musical algorithms and microtonality; fourier analysis for music; similarity and distance measures for music; short papers; communication-performances; and tribute to Yves Hellegouarch.
Human-Centered Design, Operation and Evaluation of Mobile Communications: 5th International Conference, MOBILE 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14737)
by June Wei George MargetisThis book constitutes the refereed proceedings of the 5th International Conference on Design, Operation and Evaluation of Mobile Communications, MOBILE 2024, held as part of the 26th International Conference, HCI International 2024, which was held in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The MOBILE 2024 proceedings were organized in the following topical sections: Part I: Mobile health and wellbeing; mobile applications, serious games and advanced interfaces; Part II: Mobile commerce, marketing and retail; mobile security, privacy, and safety; mobile user experience and design.
Artificial Intelligence in HCI: 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29 – July 4, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14734)
by Helmut Degen Stavroula NtoaThe three-volume book set LNAI 14734, 14735, and 14736 constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The AI-HCI 2024 proceedings were organized in the following topical sections: Part I: Human-centered artificial intelligence; explainability and transparency; AI systems and frameworks in HCI; Part II: Ethical considerations and trust in AI; enhancing user experience through AI-driven technologies; AI in industry and operations; Part III: Large language models for enhanced interaction; advancing human-robot interaction through AI; AI applications for social impact and human wellbeing.
Human-Centered Design, Operation and Evaluation of Mobile Communications: 5th International Conference, MOBILE 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14738)
by June Wei George MargetisThis book constitutes the refereed proceedings of the 5th International Conference on Design, Operation and Evaluation of Mobile Communications, MOBILE 2024, held as part of the 26th International Conference, HCI International 2024, which was held in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The MOBILE 2024 proceedings were organized in the following topical sections: Part I: Mobile health and wellbeing; mobile applications, serious games and advanced interfaces; Part II: Mobile commerce, marketing and retail; mobile security, privacy, and safety; mobile user experience and design.
Getting Started with Pester 5: A Beginner's Guide
by Owen HeaumeEmbark on a transformative journey into the world of Pester and elevate your PowerShell scripting to new heights of robustness, reliability, and efficiency. This comprehensive beginner's guide provides a hands-on approach to PowerShell testing using Pester, empowering you to enhance your code quality with confidence.The book starts with an introduction to Pester, the powerful testing and mocking framework for PowerShell. You'll gain a solid foundation by exploring Pester's fundamental building blocks. The book guides you through the phases of Pester, helping you write your initial Pester code. You will dive into topics such as tags, assertions with Should and parameter filters, and you will explore advanced techniques such as Test Drive and Test Registry.You will discover the art of mocking in Pester and master its advanced testing methodologies. You will gain insights into working without installed modules and seamlessly integrating Pester with Azure DevOps Pipeline for a streamlined testing process.After reading this book, you will have the knowledge and skills to initiate your own exploration into PowerShell testing with Pester. You will transform your scripts into reliable powerhouses, ensuring the resilience and quality of your PowerShell code.What Will You LearnBuilding blocks and phases of PesterWriting effective Pester testsAssertions, mocking, and advanced testing techniquesIntegration with Azure DevOpsTags, code coverageWho This Book Is ForPowerShell scripters and Pester Framework beginners
Enterprise Ontology: A Human-Centric Approach to Understanding the Essence of Organisation (The Enterprise Engineering Series)
by Jan L. Dietz Hans B. MulderEnterprise ontology is one of the conceptual pillars of enterprise engineering, next to enterprise design and enterprise governance, together accomplishing the goals of intellectual manageability, organisational concinnity and social devotion. By revealing the essence of an enterprise’s organisation, enterprise ontology addresses business processes, data and rules in a fundamental and truly integrated way. In addition, it provides deep insight into and broad overview over complex organisational transformations. The book is divided into three parts. Part I is an introduction in enterprise engineering and enterprise ontology. Part II explores the theories underlying enterprise ontology, explaining the foundations of each theory, the elaborations in practical methods and techniques, and the relationships with other comparable approaches. Part III presents the practical application of the theories. It includes a comprehensive summary of the DEMO methodology and the DEMO specification language, as well as exercises and applications of DEMO in various business areas. It also features a chapter on combining DEMO with comparable approaches to modelling business processes, data and rules, to the benefit of the latter. This second edition comprises two major improvements, driven by increased theoretical precision and further practical experience with DEMO. One is the clear separation between documents or data sets and the files that carry them, the other one is the re-positioning of the input data in the action rules. Discussing the theoretical foundations of enterprise ontology and its practical applications in equal measure, this book is the principal textbook in courses on enterprise engineering. Since it unites elements from management science and information systems engineering, it is also relevant to students and professionals in either field.
Advances on P2P, Parallel, Grid, Cloud and Internet Computing: Proceedings of the 13th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2018) (Lecture Notes on Data Engineering and Communications Technologies #24)
by Fatos Xhafa Fang-Yie Leu Massimo Ficco Chao-Tung YangThis book presents the latest research findings, as well as innovative theoretical and practical research results, methods and development techniques related to P2P, grid, cloud and Internet computing. It also reveals the synergies among such large scale computing paradigms. P2P, Grid, Cloud and Internet computing technologies have rapidly become established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources on a large scale. Grid computing originated as a paradigm for high-performance computing, offering an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P computing emerged as a new paradigm following on from client-server and web-based computing and has proved useful in the development of social networking, B2B (Business to Business), B2C (Business to Consumer), B2G (Business to Government), and B2E (Business to Employee). Cloud computing has been described as a “computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits”. Cloud computing has fast become the computing paradigm with applicability and adoption in all domains and providing utility computing at large scale. Lastly, Internet computing is the basis of any large-scale distributed computing paradigm; it has very quickly developed into a vast and flourishing field with enormous impact on today’s information societies and serving as a universal platform comprising a large variety of computing forms such as grid, P2P, cloud and mobile computing.
Understanding Atmospheric Rivers Using Machine Learning (SpringerBriefs in Applied Sciences and Technology)
by Manish Kumar Goyal Shivam SinghThis book delves into the characterization, impacts, drivers, and predictability of atmospheric rivers (AR). It begins with the historical background and mechanisms governing AR formation, giving insights into the global and regional perspectives of ARs, observing their varying manifestations across different geographical contexts. The book explores the key characteristics of ARs, from their frequency and duration to intensity, unraveling the intricate relationship between atmospheric rivers and precipitation. The book also focus on the intersection of ARs with large-scale climate oscillations, such as El Niño and La Niña events, the North Atlantic Oscillation (NAO), and the Pacific Decadal Oscillation (PDO). The chapters help understand how these climate phenomena influence AR behavior, offering a nuanced perspective on climate modeling and prediction. The book also covers artificial intelligence (AI) applications, from pattern recognition to prediction modeling and early warning systems. A case study on AR prediction using deep learning models exemplifies the practical applications of AI in this domain. The book culminates by underscoring the interdisciplinary nature of AR research and the synergy between atmospheric science, climatology, and artificial intelligence
Blockchain Technology and Application: 6th CCF China Blockchain Summit, CBCS 2023, Haikou, China, December 15–18, 2023, Revised Selected Papers (Communications in Computer and Information Science #2098)
by Jianming Zhu Xianhua Song Zeguang Lu Yong Ding Qianhong WuThis book constitutes the refereed proceedings of the 6th CCF China Blockchain Summit, CBCS 2023, held in Haikou, China, in December 2023. The 13 revised full papers presented were carefully reviewed and selected from 72 submissions. The papers deal with research results and development activities in all aspects of blockchain science and technology.
Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops: MHDW 2024, 5G-PINE 2024, and ΑΙ4GD 2024, Corfu, Greece, June 27-30, 2024, Proceedings (IFIP Advances in Information and Communication Technology #715)
by Ioannis Karydis Lazaros Iliadis Ilias Maglogiannis Antonios Papaleonidas Ioannis ChochliourosThis book constitutes the refereed proceedings of three International Workshops held as parallel events of the IFIP WG 12.5 International Workshops on Artificial Intelligence Applications and Innovations, AIAI 2024, held in Corfu, Greece, during June 27-30, 2024. The 30 full papers and 4 short papers presented in this book were carefully reviewed and selected from 69 submissions. AIAI 2024 Workshop volume presents papers from the following three workshops: 13th event of the International Mining Humanistic Data Workshop (MHDW 2024) 9th 5G-PINE Workshop (5G-PINE 2024) 1st Workshop on AI Applications for Achieving the Green Deal Targets (ΑΙ4GD 2024).