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Book Chapter
Book: The Internet of Things in the Defence Industry: Challenges and Solutions for Military Security
Published: 22 April 2026
10.1108/978-1-83549-198-020261014
EISBN: 978-1-83549-198-0
ISBN: 978-1-83549-199-7
...The integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) is revolutionizing the defence sector by enhancing operational efficiency, situational awareness (SA), and decision-making capabilities. IoT interconnects a vast network of smart devices...
Book Chapter
Machine Learning and Deep Learning Algorithms in Surveillance Systems
Available to Purchase
Published: 02 March 2026
10.1108/978-1-80592-815-720261003
EISBN: 978-1-80592-815-7
ISBN: 978-1-80592-816-4
...Abstract Machine learning (ML) and deep learning (DL) have been leveraged in surveillance systems to change the way of threat identification, criminal prevention, and public safety monitoring. In this chapter, we give an overview of related machine learning and DL techniques, including...
Book Chapter
Human–Machine Collaboration for Organizations: A Review
Available to Purchase
Published: 10 February 2026
10.1108/978-1-83608-826-420261008
EISBN: 978-1-83608-826-4
ISBN: 978-1-83608-827-1
...Intelligent robots are becoming more and more common in the workplace and in society as a result of the digital economy’s explosive growth. Human–machine collaboration (HM-C) has replaced human–machine coexistence and cooperation in the case of intelligent machines (IM) and humans. The term “human...
Book Chapter
Machine Learning and Image Processing Integration Air Traffic
Available to Purchase
Published: 28 January 2026
10.1108/978-1-80592-062-520251003
EISBN: 978-1-80592-062-5
ISBN: 978-1-80592-063-2
...Air traffic management (ATM) is a complex and dynamic system that evaluates performance and improving operations presents significant challenges. The integration of machine learning (ML) and image processing has emerged as a transformative approach to enhancing ATM systems. With air traffic volumes...
Book Chapter
A Robust Intelligent Framework for Air Traffic Management System Using Machine Learning
Available to Purchase
Published: 28 January 2026
10.1108/978-1-80592-062-520251007
EISBN: 978-1-80592-062-5
ISBN: 978-1-80592-063-2
..., enhancing real-time aircraft decision-making, and enhancing the overall efficiency of airspace management. Machine learning ( ML ), in particular, offers unprecedented capabilities to predict flight trajectories, optimize airspace utilization, and elevate safety standards ( Sano & Arsalan, 2024...
Book Chapter
Published: 28 January 2026
10.1108/978-1-80592-062-520251008
EISBN: 978-1-80592-062-5
ISBN: 978-1-80592-063-2
... traffic data based on machine learning (ML) models and techniques to detect drones flying in a certain airspace area. Since the importance of the decisions made by such a system where drones are flying in an environment that also belongs to traditional aviation, we explain how the system decision is made...
Book Chapter
Enhancing Air Traffic Surveillance with Machine Learning
Available to Purchase
Published: 28 January 2026
10.1108/978-1-80592-062-520251009
EISBN: 978-1-80592-062-5
ISBN: 978-1-80592-063-2
...There is a need for new strategies to cope with the growing intricacy of air traffic control (ATC) systems so that the safety, efficiency, and reliability of the ATC are guaranteed. Machine learning (ML) has become a disruptive technology that introduces innovative methods of managing...
Book
Machine Learning Based Air Traffic Surveillance System Using Image Processing
Available to Purchase
Published: 28 January 2026
10.1108/978-1-80592-062-5
EISBN: 978-1-80592-062-5
ISBN: 978-1-80592-063-2
Book Chapter
Published: 19 January 2026
10.1108/978-1-83608-578-220251006
EISBN: 978-1-83608-578-2
ISBN: 978-1-83608-579-9
...This research aims to explore how Machine Learning (ML), Predictive Analytics (PA), and Data Utilisation (DU) help hospitals in the healthcare sector of Houston, considering the mediating role of DU. Since there are around 180 hospitals in the area, the aim of this research is to determine how...
Book Chapter
Published: 19 January 2026
10.1108/978-1-83608-578-220251008
EISBN: 978-1-83608-578-2
ISBN: 978-1-83608-579-9
...This research aims to explore the impacts of machine learning algorithms and business intelligence (BI) on decision-making in the food and beverage manufacturing industry, particularly the synergy established between the two components. This research used positivist, deductive, and quantitative...
Book Chapter
A Survey on SQL Injection Attack Detection Using Machine Learning
Available to Purchase
Published: 13 January 2026
10.1108/978-1-83662-996-220251012
EISBN: 978-1-83662-996-2
ISBN: 978-1-83662-997-9
... dollars ( Garg & Jain, 2018 ), underscoring the burgeoning demand for online services. No table, mobile devices account for 53.74% of web visits, with desktops comprising the remaining 46.26% ( Bhatia & Sharma, 2018 ). 1.1. Background and Motivation 1. Introduction SQL injection attack machine...
Book Chapter
AI in Hiring: Leveraging Machine Learning for Fair, Efficient Recruitment
Available to Purchase
Published: 12 January 2026
10.1108/978-1-83708-166-020251010
EISBN: 978-1-83708-166-0
ISBN: 978-1-83708-167-7
...Adopting new technologies changes how people once worked and performed, guaranteeing they get the best out of it while maintaining their leadership in their respective industries. Recently, the HR industry has started using machine learning (ML) as a way to become more innovative in their work. ML...
Book Chapter
References
Available to PurchaseSerial: Advances in Digital Technology and Data-Driven Business Practices
Published: 18 May 2026
EISBN: 978-1-80686-185-9
ISBN: 978-1-80686-186-6
...References References Abby , J. ( 2025 ). 16 Applications of machine learning in manufacturing in 2025. https://www.netsuite.com/portal/resource/articles/erp/machine-learning-in-manufacturing.shtml Abdullayev , V. H. , Khang , A. , İsmibeyli , R. , Abuzarova , V...
Images
AI , ML , DL , and Gen AI . A flowchart explains the relationship betw...
Available to Purchase
in Linking DFLSS with the Fourth Industrial Revolution Data-based Technologies
> Ten Commandments of Design for Lean Six Sigma: A Practical Guide for Senior Executives and Business Leaders
Published: 13 May 2026
Fig. 25. AI , ML , DL , and Gen AI . A flowchart explains the relationship between artificial intelligence, machine learning, and related subfields. The flowchart presents a vertical hierarchy of concepts connected by arrows. At the top is artificial intelligence A I, defined More about this image found in AI , ML , DL , and Gen AI . A flowchart explains the relationship betw...
Book Chapter
References
Available to Purchase
Published: 25 May 2026
EISBN: 978-1-80592-096-0
ISBN: 978-1-80592-097-7
.... , Ye , Y. , & Xu , M. ( 2022 ). Substituting human decision-making with machine learning: Implications for organizational learning . Academy of Management Review , 47 ( 3 ), 448 – 465 . 10.5465/amr.2019.0470 Baskerville , R. L. , Myers , M. D. , & Yoo , Y. ( 2020...
Images
Changing Role of Humans. An illustration shows task allocation between h...
Available to Purchase
in Linking DFLSS with the Fourth Industrial Revolution Data-based Technologies
> Ten Commandments of Design for Lean Six Sigma: A Practical Guide for Senior Executives and Business Leaders
Published: 13 May 2026
Fig. 26. Changing Role of Humans. An illustration shows task allocation between humans and machines using a split pathway decision metaphor. The illustration presents a heading asking how tasks should be allocated between humans and machines. Below, the layout is divided into two sides More about this image found in Changing Role of Humans. An illustration shows task allocation between h...
Book Chapter
References
Available to PurchaseSerial: Advances in Digital Technology and Data-Driven Business Practices
Published: 18 May 2026
EISBN: 978-1-80686-185-9
ISBN: 978-1-80686-186-6
... – 1328 . Blitz , S. ( 2021 ). How machine learning improves data visualization . Retrieved November 20, 2021, from www.sisense.com/blog/how-machine-learning-improves-data-visualization Campesato , O. ( 2020 ). Artificial intelligence, machine learning, and deep learning...
Book
Synthetic Intelligence in Education: Transforming Pedagogy with AI
Available to Purchase
Published online: 13 April 2026
Published in print: 25 May 2026
10.1108/978-1-80686-799-8
EISBN: 978-1-80686-799-8
ISBN: 978-1-80686-800-1
Images
VOS viewer Analysis of All Keywords. A V O S viewer network map showing ...
Available to Purchase
in Leveraging Immersive Wellness in Digital Marketing: Transforming Consumer Engagement in the Virtual Landscape
> The Immersive Wellness Spectrum: Trends, Technologies, and Transformations
Published: 18 May 2026
intelligence, social media, customer engagement, machine learning, big data, augmented reality, and consumer behavior appear as interconnected nodes. The proximity and density of links indicate how frequently these concepts co-occur in the literature, highlighting strong relationships between technology-driven More about this image found in VOS viewer Analysis of All Keywords. A V O S viewer network map showing ...
Book Chapter
References
Available to Purchase
Published: 11 May 2026
EISBN: 978-1-80686-209-2
ISBN: 978-1-80686-210-8
.../ACCESS.2025.3561721 McMahan , B. , Moore , E. , Ramage , D. , Hampson , S. , & Arcas , B. A. y. ( 2017 ). Communication-efficient learning of deep networks from decentralized data . Proceedings of machine learning research . In Proceedings of the 20th international...
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