Handbook of Research on Thrust Technologies’ Effect on Image Processing
Handbook of Research on Thrust Technologies’ Effect on Image Processing

Author: Pandey, Binay Kumar

Publisher: IGI Global

Published: 2023-08-04

Total Pages: 594

ISBN-13: 1668486202

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Image processing integrates and extracts data from photos for a variety of uses. Applications for image processing are useful in many different disciplines. A few examples include remote sensing, space applications, industrial applications, medical imaging, and military applications. Imaging systems come in many different varieties, including those used for chemical, optical, thermal, medicinal, and molecular imaging. To extract the accurate picture values, scanning methods and statistical analysis must be used for image analysis. Thrust Technologies’ Effect on Image Processing provides insights into image processing and the technologies that can be used to enhance additional information within an image. The book is also a useful resource for researchers to grow their interest and understanding in the burgeoning fields of image processing. Covering key topics such as image augmentation, artificial intelligence, and cloud computing, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

The Impact of Thrust Technologies on Image Processing
The Impact of Thrust Technologies on Image Processing

Author: Digvijay Pandey

Publisher:

Published: 2023-06-15

Total Pages: 0

ISBN-13:

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Nowadays, audiovisual content is distributed rapidly but also extensively to remote regions via the web in a number of formats, comprising images, audio, video, and textual. Everything is easily accessible and simple for all users thanks to digitized transmission via the World Wide Web. As a consequence, data protection is indeed a required and essential activity. Networking or data security has three primary goals: confidentiality, integrity, and availability. Confidentiality refers to content that is secure yet not accessed by unauthorized individuals. The term "integrity" refers to an information's veracity, while "availability" refers to the ease in which authorized users can access essential data. Information security is insufficient on its own to assure the constant operation of data such as text, audio, video, and electronic images. Although there are several ways to image security available, including encryption, watermarking, digital watermarking, reversible watermarking, cryptography, and steganography. The goal of this book is to transfer secure textual data storage on public networks and IoT devices by concealing secret data in multimedia. It also covers discussions on textual image recognition using machine learning/deep learning-based methods. This book also offers advanced steganography ways for embedding textual data on the cover image, as well as a new way for secure transmission of biological imaging, imaging with machine learning and deep learning, and 2D, 3D imaging in the field of telemedicine.

Data Driven Mathematical Modeling in Agriculture
Data Driven Mathematical Modeling in Agriculture

Author: Sabyasachi Pramanik

Publisher: CRC Press

Published: 2024-08-23

Total Pages: 501

ISBN-13: 1040120970

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The research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models are utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies. Technical topics discussed in the book include: Precision agriculture Machine learning Wireless sensor networks IoT Deep learning

Using Traditional Design Methods to Enhance AI-Driven Decision Making
Using Traditional Design Methods to Enhance AI-Driven Decision Making

Author: Nguyen, Tien V. T.

Publisher: IGI Global

Published: 2024-01-10

Total Pages: 528

ISBN-13:

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In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.

AI-Driven Marketing Research and Data Analytics
AI-Driven Marketing Research and Data Analytics

Author: Masengu, Reason

Publisher: IGI Global

Published: 2024-04-22

Total Pages: 515

ISBN-13:

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The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age.

AI and Machine Learning Impacts in Intelligent Supply Chain
AI and Machine Learning Impacts in Intelligent Supply Chain

Author: Pandey, Binay Kumar

Publisher: IGI Global

Published: 2024-01-29

Total Pages: 335

ISBN-13:

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Businesses are facing an unprecedented challenge - the urgent need to adapt and thrive in a world where intelligent factories and supply chains are the new norm. The digital transformation of supply chains is essential for staying competitive, but it is a complex journey fraught with uncertainties. How can organizations harness the power of emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) to increase profitability, cut supply chain costs, elevate customer service, and optimize their networks? The answers to these questions are crucial for business survival and success. AI and Machine Learning Impacts in Intelligent Supply Chain is a groundbreaking book that offers a comprehensive solution to the challenges posed by the Industry 4.0 revolution. This book is your indispensable guide to navigating the intricate world of supply chain digital transformation using innovative technologies. It provides real-world examples and insights that illustrate how AI and ML are the keys to solving complex supply chain problems, from inventory management to route optimization and beyond. Whether you are an academic scholar seeking to delve into the impact of AI and ML on supply chain management or a business leader striving to gain a competitive edge, this book is tailored to meet your needs.

A Sustainable Future with E-Mobility: Concepts, Challenges, and Implementations
A Sustainable Future with E-Mobility: Concepts, Challenges, and Implementations

Author: D., Lakshmi

Publisher: IGI Global

Published: 2024-06-21

Total Pages: 447

ISBN-13:

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Integrating electric vehicles (EVs) into power distribution systems presents significant challenges, particularly concerning power source dependability and grid stability. The distribution system, a critical element of the power system, is susceptible to failures and power outages exacerbated by the extensive adoption of EVs. Additionally, managing the administration, monitoring, and control of power systems in the context of EV integration is a complex and daunting task for energy experts. A Sustainable Future with E-Mobility: Concepts, Challenges, and Implementations offers a comprehensive solution to these challenges. It explores infrastructure frameworks, planning strategies, control strategies, and software applications for integrating EVs with power distribution systems, focusing on innovative grid developments. By providing insights into architectural reconfiguration, restoration strategies, power quality control, and regulatory aspects, the book equips students, researchers, academicians, policymakers, and industry experts with the knowledge needed to achieve a secure, resilient, and efficient integration of EVs into distribution networks.

Emerging Advancements in AI and Big Data Technologies in Business and Society
Emerging Advancements in AI and Big Data Technologies in Business and Society

Author: Zhao, Jingyuan

Publisher: IGI Global

Published: 2024-07-22

Total Pages: 452

ISBN-13:

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Today, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized industries worldwide, driving business growth and reshaping societies. While these technologies have yielded remarkable benefits, many developing countries face challenges in harnessing their potential due to inadequate data collection and availability. Emerging Advancements in AI and Big Data Technologies in Business and Society delves into the profound impact of AI and Big Data on the digital landscape and their transformative influence on social, economic, and political spheres. With a historical overview of AI's evolution and its operational definition, this book explores interconnected subfields such as problem-solving, intelligent agents, natural language processing, computer vision, and machine learning. AI is hailed as the fourth industrial revolution and the widespread use of AI technologies prompts discussions about their applications, performances, and societal impact. This book serves as a comprehensive guide for academics, researchers, and students in universities and engineering schools. It also caters to policymakers, government officers, corporate leaders, technology directors, and managers seeking to understand the potential of AI and Big Data. Additionally, libraries and information centers catering to the needs of these professionals will find this book an essential resource.

Utilization of AI Technology in Supply Chain Management
Utilization of AI Technology in Supply Chain Management

Author: Pandey, Digvijay

Publisher: IGI Global

Published: 2024-03-01

Total Pages: 358

ISBN-13:

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The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management. Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively.

Handbook of Research on AI and ML for Intelligent Machines and Systems
Handbook of Research on AI and ML for Intelligent Machines and Systems

Author: Gupta, Brij B.

Publisher: IGI Global

Published: 2023-11-27

Total Pages: 530

ISBN-13:

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The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths.