Digital Technologies in Modeling and Management: Insights in Education and Industry
Digital Technologies in Modeling and Management: Insights in Education and Industry

Author: Prakasha, G. S.

Publisher: IGI Global

Published: 2024-04-04

Total Pages: 427

ISBN-13: 1668495783

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Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.

Digital Technologies in Modeling and Management
Digital Technologies in Modeling and Management

Author: Deepanraj Balakrishnan

Publisher:

Published: 2023

Total Pages: 0

ISBN-13: 9781668495773

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Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.

Improving Healthcare Quality and Patient Engagement: Management and Technology Insights
Improving Healthcare Quality and Patient Engagement: Management and Technology Insights

Author: Chaturvedi, Vijit

Publisher: IGI Global

Published: 2024-09-27

Total Pages: 522

ISBN-13:

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Enhancing healthcare quality and fostering patient engagement are pivotal in healthcare management. As global healthcare systems face challenges, from rising costs to various patient outcomes, innovations in technology transform patient care techniques. From electronic health record systems that streamline data management to telemedicine platforms to expand access to care, the integration of technology improves efficiency, accuracy, and patient satisfaction. Achieving healthcare quality also demands more research into effective management strategies that combine technological innovations with patient-centric care models. Improving Healthcare Quality and Patient Engagement: Management and Technology Insights explores key insights into the convergence of healthcare management and technology. It outlines the integration of healthcare quality and patient care for improved patient outcomes and reshaped healthcare services. This book covers topics such as digital technology, sustainable development, and geriatric care, and is a useful resource for medical workers, healthcare professionals, business owners, sociologists, computer engineers, data scientists, researchers, and academicians.

Advancing Software Engineering Through AI, Federated Learning, and Large Language Models
Advancing Software Engineering Through AI, Federated Learning, and Large Language Models

Author: Sharma, Avinash Kumar

Publisher: IGI Global

Published: 2024-05-02

Total Pages: 375

ISBN-13:

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The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.

Educational Perspectives on Digital Technologies in Modeling and Management
Educational Perspectives on Digital Technologies in Modeling and Management

Author: Prakasha, G. S.

Publisher: IGI Global

Published: 2024-01-07

Total Pages: 367

ISBN-13:

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The complexity of managing and modeling various systems, from social networks to educational institutions and technical systems, has reached unprecedented levels. Traditional approaches struggle to keep pace with the dynamic nature of these challenges, leaving scholars, educators, and professionals searching for innovative solutions. This growing problem calls for a comprehensive guide to harnessing the potential of digital technologies for effective modeling and management. Educational Perspectives on Digital Technologies in Modeling and Management is a groundbreaking book that addresses the pressing need for modern solutions to keep up with the evolving challenges of modeling systems. This research book emerges from the collaborative efforts of teaching staff from leading universities, and years of dedicated scientific research and experimentation. It focuses on modeling complex systems using digital technologies, presenting fresh insights and innovative methodologies for academics, scholars, and aspiring professionals who are delving into the world of digitalization of economic processes and their management. The text caters to the specific needs of educators, IT professionals, and business analysts. Covering a wide array of topics, from information security to speaker verification and turbulent gas flow, this book serves as a valuable resource for a diverse audience seeking to excel in their respective fields.

Uncertain Spatiotemporal Data Management for the Semantic Web
Uncertain Spatiotemporal Data Management for the Semantic Web

Author: Bai, Luyi

Publisher: IGI Global

Published: 2024-03-01

Total Pages: 527

ISBN-13: 1668491095

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In the world of data management, one of the most formidable challenges faced by academic scholars is the effective handling of spatiotemporal data within the semantic web. As our world continues to change dynamically with time, nearly every aspect of our lives, from environmental monitoring to urban planning and beyond, is intrinsically linked to time and space. This synergy has given rise to an avalanche of spatiotemporal data, and the pressing question is how to manage, model, and query this voluminous information effectively. The existing approaches often fall short in addressing the intricacies and uncertainties that come with spatiotemporal data, leaving scholars struggling to unlock its full potential. Uncertain Spatiotemporal Data Management for the Semantic Web is the definitive solution to the challenges faced by academic scholars in the realm of spatiotemporal data. This book offers a visionary approach to an all-encompassing guide in modeling and querying spatiotemporal data using innovative technologies like XML and RDF. Through a meticulously crafted set of chapters, this book sheds light on the nuances of spatiotemporal data and also provides practical solutions that empower scholars to navigate the complexities of this domain effectively.

Machine Learning Algorithms Using Scikit and TensorFlow Environments
Machine Learning Algorithms Using Scikit and TensorFlow Environments

Author: Baby Maruthi, Puvvadi

Publisher: IGI Global

Published: 2023-12-18

Total Pages: 473

ISBN-13: 1668485338

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Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.

Frameworks for Blockchain Standards, Tools, Testbeds, and Platforms
Frameworks for Blockchain Standards, Tools, Testbeds, and Platforms

Author: Ramakrishna, Yanamandra

Publisher: IGI Global

Published: 2024-01-17

Total Pages: 261

ISBN-13:

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In an era of rapid technological advancements, blockchain technology has emerged as a groundbreaking solution for decentralized trust and immutable record-keeping. Frameworks for Blockchain Standards, Tools, Testbeds, and Platforms delves into the intricate world of blockchain, offering a comprehensive exploration of its various dimensions. At its core, blockchain disrupts the traditional notion of a centralized trusted authority, instead relying on multiple sources of trust and algorithmic consensus for validation. This handbook elucidates the transformative power of blockchain, examining its capacity to offer enduring records that resist modification by trusted or untrusted sources. The concept of mining, akin to decentralized peer review, is demystified in the context of the Bitcoin protocol, which paved the way for subsequent advancements like Ethereum—a decentralized, open-source platform enabling a diverse array of blockchain applications. This book serves as an indispensable guide for various stakeholders, including researchers, academicians, industry practitioners, policy makers, corporate executives, venture capitalists, and entrepreneurs. With its inclusive approach, the book also benefits those indirectly involved in blockchain and its applications. It is equally valuable for undergraduate, graduate, and research-level students seeking to explore the transformative potential of blockchain technology.

Practical Applications of Data Processing, Algorithms, and Modeling
Practical Applications of Data Processing, Algorithms, and Modeling

Author: Whig, Pawan

Publisher: IGI Global

Published: 2024-04-29

Total Pages: 334

ISBN-13:

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In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling. This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights.

Enhancing Performance, Efficiency, and Security Through Complex Systems Control
Enhancing Performance, Efficiency, and Security Through Complex Systems Control

Author: Chana, Idriss

Publisher: IGI Global

Published: 2024-01-22

Total Pages: 393

ISBN-13:

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Academic scholars and professionals in engineering strive to enhance the performance, efficiency, and security of complex systems, but accessing comprehensive resources for these challenges can be daunting. Enhancing Performance, Efficiency, and Security Through Complex Systems Control offers an ideal solution. Edited by esteemed academics Idriss Chana, Aziz Bouazi, and Hussain Ben-Azza, this book presents a curated collection of scientific articles encompassing multidisciplinary themes like computer science, artificial intelligence, electrical engineering, and control systems. By consolidating cutting-edge research and methodologies, this book empowers scholars and professionals to improve the design, modeling, and control of complex systems. It provides practical solutions, showcases new ideas, and explores innovative technologies to enhance performance, efficiency, and safety. With a meticulous selection process involving internationally recognized scientific committees, this book ensures the highest quality standards, making it a reliable reference for researchers, PhD students, and academics. Delve into the wide range of topics covered, from artificial intelligence to smart systems, and unlock the potential of complex systems control to advance your research endeavors.