Industry 4.0 Technologies and Sustainable Development Goals (SDGs): Covered Publications and Ranking

Alhammadi, Aisha A.; Semeraro, Concetta; Obaideen, Khaled; Alsyouf, Imad

doi:10.1007/978-3-031-38274-1_4

Cited by 5 publications

(3 citation statements)

References 51 publications

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“…Reference source not found., this research uses a systematic and detailed approach to understand the role of radar technology in the health care sector, and more specifically in the area of aging and elderly care. Our research methodology is underpinned by a dual-framework: a thorough literature study along with an in-depth bibliometric analysis [37][38][39][40][41]. This method includes data acquisition from the principal academic databases including Scopus, using bibliometric visualization app like VOSviewer.…”

Section: Methodsmentioning

confidence: 99%

Quantifying knowledge: medical applications of radar aging through the lens of bibliometrics

Obaideen,

Faroukh,

Bonny

et al. 2024

Smart Biomedical and Physiological Sensor Technology XXI

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This research plunges into the rapidly growing radar technology in the medical sector, putting emphasis on its possibility to revolutionize elderly care and health monitoring among the aging global population. Based on a systematic literature review and rigorous bibliometric analysis, we discuss radar technology application in healthcare, focusing on its potential for non-invasive, high-accuracy diagnosis and continuous patient monitoring. Our findings highlight the critical harmony between radar technology and the advances in machine learning, artificial intelligence, and data analytics, which open the door to smart healthcare solutions. These advancements will improve early disease detection, fall risk prevention, and real-time health monitoring, resulting in quick medical responses. This study endeavors to offer useful knowledge to researchers, practitioners, and policymakers who are working towards the use of technology for better health in the context of the demographic changes that the world is experiencing in terms of an ageing population by mapping the current research landscape, identifying the existing trends and gaps, and proposing the future direction of research.

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Section: Methodsmentioning

confidence: 99%

Quantifying knowledge: medical applications of radar aging through the lens of bibliometrics

Obaideen,

Faroukh,

Bonny

et al. 2024

Smart Biomedical and Physiological Sensor Technology XXI

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“…This ensures the inclusion of studies that directly contribute to our research objectives while also adhering to pre-defined inclusion criteria such as publication year, citation impact and relevance. The core of our research is the bibliometric analysis and visualization phase, during which we use VOSviewer to investigate the bibliometric networks, uncovering dominant themes, collaboration patterns, and main contributions in PSO and MDO domain [49][50][51][52][53]. This study elucidates the form and development of this inter-disciplinary field, focusing on coauthorship networks, citation and co-citation patterns and keyword co-occurrence networks.…”

Section: Methodsmentioning

confidence: 99%

The confluence of PSO and MDO: a bibliometric perspective

Obaideen,

AlShabi,

Bettayeb

et al. 2024

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI

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This paper presents a thorough investigation into the convergence of Particle Swarm Optimization (PSO) and Multi-Disciplinary Design Optimization (MDO), two pivotal methodologies in the realm of computational optimization. By harnessing the strengths of PSO's heuristic search capabilities and MDO's integrative design approach, this study explores the synergistic potential of combining these methods to tackle complex optimization challenges. Through a systematic literature review and bibliometric analysis, we delve into the evolution, methodologies, applications, and outcomes of this interdisciplinary integration, drawing from a diverse array of scholarly works. Our analysis reveals a growing trend in the application of PSO within MDO frameworks, highlighting significant advancements, identifying gaps in the current literature, and suggesting fruitful directions for future research. The findings underscore the robustness and adaptability of PSO-MDO integration across various domains, offering insights into its potential to enhance optimization practices and contribute to the advancement of engineering and technology. This study not only charts the current landscape of PSO and MDO convergence but also sets the groundwork for future explorations in this promising research domain.

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“…This research takes a comprehensive and systematic approach to examine the evolution and effects of the acoustic tomography and sonar imaging technologies in autonomous navigation systems. Adopting a strong methodological framework for literature review and bibliometric analysis, we use and combine data retrieval from Scopus with advanced graphical analytics in VOSviewer [70][71][72][73][74]. As depicted in the figure 1, the approach is realized through a number of stages that involve literature collection, screening, analysis and synthesis.…”

Section: Methodsmentioning

confidence: 99%

Enhancing autonomous navigation: acoustic tomography through synthetic data modeling

Obaideen,

Faroukh,

AlShabi

2024

Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024

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This paper tackles the new utilization of acoustic tomography and synthetic data modeling to improve autonomous navigation systems, especially in environments where traditional navigation tools, such as GPS, are either restricted or absent. Thus, acoustic tomography, based on sound waves, as well as synthetic data modeling which creates unrealized but realistic navigation scenarios, seems to be a very useful way of enhancing accessible navigation in terms of reliability, precision, and adaptability. This research via a comprehensive literature review, review, and synthesis of current research articulates the promise of these technologies to transform navigation systems. It focuses on the approach in the integration of acoustic sensing with computational models in developing the system autonomy, covering the technological advancements and the problems. Besides, implications of the research to the whole range of applications from underwater exploration to urban autonomous vehicles specify the requirement of innovation and exploration development in this sphere. By providing a broad review and evaluation of the interactions of acoustic tomography with synthetic data modeling, this paper seeks to promote progress in autonomous navigation technologies, laying the groundwork for the future studies and engineering work in navigation through the world's most difficult environments.

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Industry 4.0 Technologies and Sustainable Development Goals (SDGs): Covered Publications and Ranking

Cited by 5 publications

References 51 publications

Quantifying knowledge: medical applications of radar aging through the lens of bibliometrics

Quantifying knowledge: medical applications of radar aging through the lens of bibliometrics

The confluence of PSO and MDO: a bibliometric perspective

Enhancing autonomous navigation: acoustic tomography through synthetic data modeling

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