Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries
Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries

Author: Shmelova, Tetiana

Publisher: IGI Global

Published: 2019-10-11

Total Pages: 543

ISBN-13: 1799814173

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With the emergence of smart technology and automated systems in today’s world, artificial intelligence (AI) is being incorporated into an array of professions. The aviation and aerospace industry, specifically, is a field that has seen the successful implementation of early stages of automation in daily flight operations through flight management systems and autopilot. However, the effectiveness of aviation systems and the provision of flight safety still depend primarily upon the reliability of aviation specialists and human decision making. The Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries is a pivotal reference source that explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. While highlighting topics such as computer-aided design, automated systems, and human factors, this publication explores the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry. This book is ideally designed for pilots, scientists, engineers, aviation operators, air crash investigators, teachers, academicians, researchers, and students seeking current research on the application of AI in the field of aviation.

Artificial Intelligence Applications in the Aviation and Aerospace Industries
Artificial Intelligence Applications in the Aviation and Aerospace Industries

Author: Tetiana Shmelova

Publisher:

Published: 2020

Total Pages:

ISBN-13: 9781799814160

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"This book explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. It also examines the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry"--

Handbook of Research on AI Methods and Applications in Computer Engineering
Handbook of Research on AI Methods and Applications in Computer Engineering

Author: Kaddoura, Sanaa

Publisher: IGI Global

Published: 2023-01-30

Total Pages: 659

ISBN-13: 1668469391

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The development of artificial intelligence (AI) involves the creation of computer systems that can do activities that would ordinarily require human intelligence, such as visual perception, speech recognition, decision making, and language translation. Through increasingly complex programming approaches, it has been transforming and advancing the discipline of computer science. The Handbook of Research on AI Methods and Applications in Computer Engineering illuminates how today’s computer engineers and scientists can use AI in real-world applications. It focuses on a few current and emergent AI applications, allowing a more in-depth discussion of each topic. Covering topics such as biomedical research applications, navigation systems, and search engines, this premier reference source is an excellent resource for computer scientists, computer engineers, IT managers, students and educators of higher education, librarians, researchers, and academicians.

Information Systems Research in Vietnam, Volume 2
Information Systems Research in Vietnam, Volume 2

Author: Nguyen Hoang Thuan

Publisher: Springer Nature

Published: 2023-11-01

Total Pages: 157

ISBN-13: 9819947928

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This book continues the discussion on advanced information systems research, cases, and applications in the context of Vietnam, presented by experienced researchers in the field. It provides a comprehensive overview of the field and offers access to practical information systems applications, serving as a guide to comparing the context . Readers can also compare the context of information systems applications in Vietnam as a developing country against the context in developed countries. The book contributes to the body of knowledge in several ways. It provides comprehensive references for information systems research, promotes the recent progress in its applications in Vietnam, and offers a shared understanding to serve as a blueprint for future research. From a practical point of view, the book helps organizations/companies in Vietnam to keep up with information systems cases, studies, and applications.

Strategic Management and Policy in the Global Aviation Industry
Strategic Management and Policy in the Global Aviation Industry

Author: Kurnaz, Salim

Publisher: IGI Global

Published: 2024-04-09

Total Pages: 344

ISBN-13:

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The aviation industry presents a unique conundrum with the complex relationship between government oversight and business management. While the aviation industry operates in a business-oriented manner, a considerable number of aviation companies and airports worldwide are still government-owned. The COVID-19 pandemic has accentuated the pivotal role of governments in the industry, highlighting the need for a comprehensive understanding of this interaction, given the sector's massive economic influence and the extensive investment required. The need for an in-depth exploration of this liaison has never been more pressing. Strategic Management and Policy in the Global Aviation Industry offers an insightful and comprehensive solution to this enigmatic issue. This book delves into the dynamics of the aviation sector's reliance on government intervention and support, providing invaluable perspectives for academic scholars and industry enthusiasts. It explores the critical role governments play in the development and sustainability of aviation companies, especially in the wake of the pandemic, where governments worldwide stepped in to bolster their national aviation companies. Additionally, the book explores the industry's efforts to align with the United Nations' sustainability targets and the critical influence of government regulations in achieving these goals. It also dissects the digital transformation and the integration of innovative technologies in aviation, setting the stage for a more efficient and innovative industry. Furthermore, it unveils the burgeoning role of artificial intelligence in the quest for cost reduction and enhanced operational efficiency in the fiercely competitive aviation market.

AI and Blockchain Optimization Techniques in Aerospace Engineering
AI and Blockchain Optimization Techniques in Aerospace Engineering

Author: Vignesh, U.

Publisher: IGI Global

Published: 2024-03-05

Total Pages: 272

ISBN-13:

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The amalgamation of artificial intelligence (AI), optimization techniques, and blockchain is revolutionizing how to conceptualize, design, and operate aerospace systems. While optimization techniques are pivotal in streamlining aerospace processes, security challenges have recently surfaced. AI and Blockchain Optimization Techniques in Aerospace Engineering delves into the transformative impact of technologies on various facets of the aerospace industry, offering a multidimensional solution to overcome security concerns and enhance the overall efficiency of aerospace systems The book explores how machine learning reshapes aerospace systems by automating complex tasks through self/reinforced learning methods. From air traffic data analysis to flight scheduling, geographical information, and navigation, machine learning has become an indispensable tool, offering valuable insights that enhance aerospace operations. Simultaneously, blockchain technology, with its inherent characteristics of decentralization and tamper-proof ledgers, ensures transparency, accountability, and security in transactions, providing an innovative approach to data integrity and system resilience. Designed for technology development professionals, academicians, data scientists, industrial experts, researchers, and students, the book offers a panoramic view of the latest innovations in the field.

Automated Systems in the Aviation and Aerospace Industries
Automated Systems in the Aviation and Aerospace Industries

Author: Shmelova, Tetiana

Publisher: IGI Global

Published: 2019-03-22

Total Pages: 510

ISBN-13: 1522577106

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Air traffic controllers need advanced information and automated systems to provide a safe environment for everyone traveling by plane. One of the primary challenges in developing training for automated systems is to determine how much a trainee will need to know about the underlying technologies to use automation safely and efficiently. To ensure safety and success, task analysis techniques should be used as the basis of the design for training in automated systems in the aviation and aerospace industries. Automated Systems in the Aviation and Aerospace Industries is a pivotal reference source that provides vital research on the application of underlying technologies used to enforce automation safety and efficiency. While highlighting topics such as expert systems, text mining, and human-machine interface, this publication explores the concept of constructing navigation algorithms, based on the use of video information and the methods of the estimation of the availability and accuracy parameters of satellite navigation. This book is ideal for aviation professionals, researchers, and managers seeking current research on information technology used to reduce the risk involved in aviation.

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Author: Milutinovi?, Veljko

Publisher: IGI Global

Published: 2022-03-11

Total Pages: 296

ISBN-13: 1799883523

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Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.

Regulating Artificial Intelligence in Industry
Regulating Artificial Intelligence in Industry

Author: Damian M. Bielicki

Publisher: Routledge

Published: 2021-12-24

Total Pages: 256

ISBN-13: 1000509796

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Artificial Intelligence (AI) has augmented human activities and unlocked opportunities for many sectors of the economy. It is used for data management and analysis, decision making, and many other aspects. As with most rapidly advancing technologies, law is often playing a catch up role so the study of how law interacts with AI is more critical now than ever before. This book provides a detailed qualitative exploration into regulatory aspects of AI in industry. Offering a unique focus on current practice and existing trends in a wide range of industries where AI plays an increasingly important role, the work contains legal and technical analysis performed by 15 researchers and practitioners from different institutions around the world to provide an overview of how AI is being used and regulated across a wide range of sectors, including aviation, energy, government, healthcare, legal, maritime, military, music, and others. It addresses the broad range of aspects, including privacy, liability, transparency, justice, and others, from the perspective of different jurisdictions. Including a discussion of the role of AI in industry during the Covid-19 pandemic, the chapters also offer a set of recommendations for optimal regulatory interventions. Therefore, this book will be of interest to academics, students and practitioners interested in technological and regulatory aspects of AI.