Digital Technologies In Modeling And Management Insights In Education And Industry

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Digital Technologies in Modeling and Management

Author : G. S. Prakasha,Deepanraj Balakrishnan,Maria Lapina
Publisher : Engineering Science Reference
Page : 0 pages
File Size : 49,6 Mb
Release : 2023
Category : Artificial intelligence
ISBN : 1668495767

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Digital Technologies in Modeling and Management by G. S. Prakasha,Deepanraj Balakrishnan,Maria Lapina Pdf

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: Insights in Education and Industry

Author : Prakasha, G. S.,Lapina, Maria,Balakrishnan, Deepanraj,Sajid, Mohammad
Publisher : IGI Global
Page : 427 pages
File Size : 42,5 Mb
Release : 2024-04-04
Category : Computers
ISBN : 9781668495780

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Digital Technologies in Modeling and Management: Insights in Education and Industry by Prakasha, G. S.,Lapina, Maria,Balakrishnan, Deepanraj,Sajid, Mohammad Pdf

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.

Educational Perspectives on Digital Technologies in Modeling and Management

Author : Prakasha, G. S.,Lapina, Maria,Balakrishnan, Deepanraj,Sajid, Mohammad
Publisher : IGI Global
Page : 367 pages
File Size : 54,7 Mb
Release : 2024-01-07
Category : Business & Economics
ISBN : 9798369323151

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Educational Perspectives on Digital Technologies in Modeling and Management by Prakasha, G. S.,Lapina, Maria,Balakrishnan, Deepanraj,Sajid, Mohammad Pdf

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.

Frameworks for Blockchain Standards, Tools, Testbeds, and Platforms

Author : Ramakrishna, Yanamandra,Keer, Priyameet Kaur
Publisher : IGI Global
Page : 261 pages
File Size : 54,5 Mb
Release : 2024-01-17
Category : Computers
ISBN : 9798369304068

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Frameworks for Blockchain Standards, Tools, Testbeds, and Platforms by Ramakrishna, Yanamandra,Keer, Priyameet Kaur Pdf

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.

Uncertain Spatiotemporal Data Management for the Semantic Web

Author : Bai, Luyi,Zhu, Lin
Publisher : IGI Global
Page : 527 pages
File Size : 53,9 Mb
Release : 2024-03-01
Category : Computers
ISBN : 9781668491096

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Uncertain Spatiotemporal Data Management for the Semantic Web by Bai, Luyi,Zhu, Lin Pdf

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.

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

Author : Sharma, Avinash Kumar,Chanderwal, Nitin,Prajapati, Amarjeet,Singh, Pancham,Kansal, Mrignainy
Publisher : IGI Global
Page : 375 pages
File Size : 51,5 Mb
Release : 2024-05-02
Category : Computers
ISBN : 9798369335031

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Advancing Software Engineering Through AI, Federated Learning, and Large Language Models by Sharma, Avinash Kumar,Chanderwal, Nitin,Prajapati, Amarjeet,Singh, Pancham,Kansal, Mrignainy Pdf

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.

Practical Applications of Data Processing, Algorithms, and Modeling

Author : Whig, Pawan,Sharma, Sachinn,Sharma, Seema,Jain, Anupriya,Yathiraju, Nikhitha
Publisher : IGI Global
Page : 334 pages
File Size : 55,7 Mb
Release : 2024-04-29
Category : Computers
ISBN : 9798369329108

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Practical Applications of Data Processing, Algorithms, and Modeling by Whig, Pawan,Sharma, Sachinn,Sharma, Seema,Jain, Anupriya,Yathiraju, Nikhitha Pdf

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.

Machine Learning Algorithms Using Scikit and TensorFlow Environments

Author : Baby Maruthi, Puvvadi,Prasad, Smrity,Tyagi, Amit Kumar
Publisher : IGI Global
Page : 473 pages
File Size : 41,7 Mb
Release : 2023-12-18
Category : Computers
ISBN : 9781668485330

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Machine Learning Algorithms Using Scikit and TensorFlow Environments by Baby Maruthi, Puvvadi,Prasad, Smrity,Tyagi, Amit Kumar Pdf

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.

Enhancing Performance, Efficiency, and Security Through Complex Systems Control

Author : Chana, Idriss,Bouazi, Aziz,Ben-azza, Hussain
Publisher : IGI Global
Page : 393 pages
File Size : 53,6 Mb
Release : 2024-01-22
Category : Computers
ISBN : 9798369304990

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Enhancing Performance, Efficiency, and Security Through Complex Systems Control by Chana, Idriss,Bouazi, Aziz,Ben-azza, Hussain Pdf

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.

Bio-Inspired Optimization Techniques in Blockchain Systems

Author : Vignesh, U.,M., Manikandan,Doshi, Ruchi
Publisher : IGI Global
Page : 306 pages
File Size : 55,6 Mb
Release : 2024-01-29
Category : Computers
ISBN : 9798369311325

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Bio-Inspired Optimization Techniques in Blockchain Systems by Vignesh, U.,M., Manikandan,Doshi, Ruchi Pdf

In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the fusion of blockchain innovation and optimization algorithms as a groundbreaking solution. Biology-Inspired Optimization Techniques in Blockchain Systems directly addresses the data integrity and ownership dilemma in bioinformatics and blockchain. Despite the intricacies of genomic data, blockchain's potential solution faces obstacles like data volume and slow transactions. These challenges are adeptly overcome through optimization algorithms. The book, authored by experts in bioinformatics, blockchain, and optimization, offers a comprehensive guide, showcasing how blockchain architecture and biological data intricacies can harmonize. It provides a blueprint for using blockchain to store genomic variants and aligned reads. This work empowers developers, data scientists, and researchers to overcome technological barriers, redefining the landscape of bioinformatics and beyond.

Recent Trends and Future Direction for Data Analytics

Author : Kumari, Aparna
Publisher : IGI Global
Page : 370 pages
File Size : 43,9 Mb
Release : 2024-05-14
Category : Computers
ISBN : 9798369336106

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Recent Trends and Future Direction for Data Analytics by Kumari, Aparna Pdf

In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential. Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence.

The Convergence of Self-Sustaining Systems With AI and IoT

Author : Rajappan, Roopa Chandrika,Gowri Ganesh, N.S.,Daniel, J. Alfred,Ahmad, Awais,Santhosh, R.
Publisher : IGI Global
Page : 428 pages
File Size : 44,9 Mb
Release : 2024-04-26
Category : Business & Economics
ISBN : 9798369317037

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The Convergence of Self-Sustaining Systems With AI and IoT by Rajappan, Roopa Chandrika,Gowri Ganesh, N.S.,Daniel, J. Alfred,Ahmad, Awais,Santhosh, R. Pdf

Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.

Omnichannel Approach to Co-Creating Customer Experiences Through Metaverse Platforms

Author : Singla, Babita,Shalender, Kumar,Singh, Nripendra
Publisher : IGI Global
Page : 239 pages
File Size : 46,7 Mb
Release : 2024-03-04
Category : Computers
ISBN : 9798369318676

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Omnichannel Approach to Co-Creating Customer Experiences Through Metaverse Platforms by Singla, Babita,Shalender, Kumar,Singh, Nripendra Pdf

Academia is grappling with a pressing challenge in the 21st century that mirrors the seismic shifts taking place in the business world. These two sides of one issue are both asking the same question; how can we seamlessly incorporate metaverse platforms into the complex web of omnichannel business models? Scholars and academics are confronted with the urgent need to understand and adapt to this new digital frontier. With the rise of metaverse technologies, the boundaries between physical and virtual realms are blurring, making it increasingly vital for scholars to bridge the gap between theory and practical application. This challenge not only touches on the fields of marketing, finance, HR, supply chain, and economics but also extends to the broader implications for industries and customer experiences as we know them. At the forefront of addressing this formidable challenge is Omnichannel Approach to Co-Creating Customer Experiences Through Metaverse Platforms. This groundbreaking book tackles this pressing issue head-on, offering a comprehensive solution to the challenges that academic scholars face. By providing a holistic perspective that covers a multitude of disciplines, the book demystifies the complexities of integrating metaverse platforms into omnichannel business models. It offers a roadmap, not only for understanding these emerging technologies but also for harnessing their transformative power to create immersive and empowered customer experiences.

Advancements, Applications, and Foundations of C++

Author : Al Ajrawi, Shams,Jennings, Charity,Menefee, Paul,Mansoor, Wathiq,Alaali, Mansoor Ahmed
Publisher : IGI Global
Page : 576 pages
File Size : 53,8 Mb
Release : 2024-04-29
Category : Computers
ISBN : 9798369320082

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Advancements, Applications, and Foundations of C++ by Al Ajrawi, Shams,Jennings, Charity,Menefee, Paul,Mansoor, Wathiq,Alaali, Mansoor Ahmed Pdf

Many undergraduate students in computer science, engineering, and related disciplines struggle to master the complexities of the C++ programming language. Existing textbooks often need more depth and breadth to provide a comprehensive understanding, leaving students with fragmented knowledge and hindering their ability to tackle real-world programming challenges effectively. Advancements, Applications, and Foundations of C++ is a compelling solution to this problem, offering a comprehensive and accessible approach to learning C++. With eight carefully structured chapters covering fundamental and advanced topics, the book provides a scaffolded learning experience that guides students from basic concepts to more complex programming techniques. This book’s target audience includes undergraduate students, professionals seeking to improve their programming skills, and educators teaching programming courses. By offering a thorough and well-rounded education in C++, this textbook aims to empower students to succeed in their programming endeavors and contribute meaningfully to the field.

Harnessing High-Performance Computing and AI for Environmental Sustainability

Author : Naim, Arshi
Publisher : IGI Global
Page : 422 pages
File Size : 42,9 Mb
Release : 2024-05-15
Category : Technology & Engineering
ISBN : 9798369317952

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Harnessing High-Performance Computing and AI for Environmental Sustainability by Naim, Arshi Pdf

The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development.