Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review

Noman, Abdulla All; Akter, Umma Habiba; Pranto, Tahmid Hasan; Haque, Akm Bahalul

doi:10.33166/aetic.2022.02.002

Cited by 44 publications

(18 citation statements)

References 96 publications

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“…It can be seen that the sphericity, which is a shape feature, is retained in all three models, DWI, ADC, and CE-T1WI, and is the only remaining feature in the ADC model. In addition, it is worth noting that all features are wavelet features except for the sphericity and a gray-scale travel matrix feature from the original image in the T2WIFS model [ 21 ].…”

Section: Resultsmentioning

confidence: 99%

Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism

Liu

2022

Occupational Therapy International

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With the continuous updating and advancement of artificial intelligence technology, it gradually begins to shine in various industries, especially playing an increasingly important role in incremental music teaching and assisted therapy systems. This study designs artificial intelligence models from the perspectives of attention mechanism, contextual information guidance, and distant dependencies combined with incremental music teaching for the segmentation of MS (multiple sclerosis) lesions and achieves the automatic and accurate segmentation of MS lesions through the multidimensional analysis of multimodal magnetic resonance imaging data, which provides a basis for physicians to quantitatively analyze MS lesions, thus assisting them in the diagnosis and treatment of MS. To address the highly variable characteristics of MS lesion location, size, number, and shape, this paper firstly designs a 3D context-guided module based on Kronecker convolution to integrate lesion information from different fields of view, starting from lesion contextual information capture. Then, a 3D spatial attention module is introduced to enhance the representation of lesion features in MRI images. The experiments in this paper confirm that the context-guided module, cross-dimensional cross-attention module, and multidimensional feature similarity module designed for the characteristics of MS lesions are effective, and the proposed attentional context U-Net and multidimensional cross-attention U-Net have greater advantages in the objective evaluation index of lesion segmentation, while being combined with the incremental music teaching approach to assist treatment, which provides a new idea for the intelligent assisted treatment approach. In this paper, from algorithm design to experimental validation, both in terms of accuracy, the operational difficulty of the experiment, consumption of arithmetic power, and time cost, the unique superiority of the artificial intelligence attention-based combined with incremental music teaching adjunctive therapy system proposed in this paper can be seen in the MS lesion segmentation task.

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Section: Resultsmentioning

confidence: 99%

Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism

Liu

2022

Occupational Therapy International

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“…Organizational politics is a reality in our social life that is inevitably encountered by organization members in their interactions (Gunawan & Santosa, 2012). It is often interpreted as a process by actors or groups within an organization to gain power and influence decision-making processes to meet individual or group objectives (Noman et al, 2022;Yalc xın & Yayla, 2016).…”

Section: Organizational Politicsmentioning

confidence: 99%

Mapping Research Trends With Factorial Analysis in Organizational Politics

Iman,

Yuadi,

Sukoco

et al. 2023

Sage Open

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Organizational politics can lead to stigmatization among employees, creating division within an organization. As a result, researchers are interested in studying this topic. This study aims to identify trends and developments in scientific publications related to organizational politics, using 828 international journals in the Web of Science database. The study employs various factorial analysis visualizations, including correspondence analysis, multiple correspondence analysis, and multidimensional scaling analysis. The present study shows that research on organizational politics has increased over time, with a significant focus on perception in the most recent years. Further analysis reveals that perception and performance are the most frequently associated topics with organizational politics. Besides, the three-factor analysis approach highlights the keyword “perception” as having the largest cluster among the three approaches. However, bibliometric analysis of this topic is limited, particularly regarding the use of biblioshiny software as an analytical tool. The findings suggest potential areas for future research, including creativity and employee personality, using the bibliometric method with a time evolution approach.

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“…Despite these exciting scientific advances in CE enabled by DS, existing reviews have predominantly concentrated on either the emergence and improvement of technologies, such as digital innovations and the Internet of Things (IoT), − or providing overviews of specific areas (e.g., nutrient recovery, waste management, and product design) − or specific industries (i.e., manufacturing). , A few reviews tried to summarize the recent scientific progress of DS or artificial intelligence (AI) applications in CE; however, the analysis is largely limited to bibliometric analysis. , What remains absent is a comprehensive critical review that consolidates the typical applications of CE facilitated by DS, synthesizes knowledge gained, and navigates future research directions.…”

Section: Introductionmentioning

confidence: 99%

“…19,20 A few reviews tried to summarize the recent scientific progress of DS or artificial intelligence (AI) applications in CE; however, the analysis is largely limited to bibliometric analysis. 21,22 What remains absent is a comprehensive critical review that consolidates the typical applications of CE facilitated by DS, synthesizes knowledge gained, and navigates future research directions.…”

Section: Introductionmentioning

confidence: 99%

Data Science Applications in Circular Economy: Trends, Status, and Future

Zhao,

Yu,

Wang

et al. 2024

Environ. Sci. Technol.

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The circular economy (CE) aims to decouple the growth of the economy from the consumption of finite resources through strategies, such as eliminating waste, circulating materials in use, and regenerating natural systems. Due to the rapid development of data science (DS), promising progress has been made in the transition toward CE in the past decade. DS offers various methods to achieve accurate predictions, accelerate product sustainable design, prolong asset life, optimize the infrastructure needed to circulate materials, and provide evidence-based insights. Despite the exciting scientific advances in this field, there still lacks a comprehensive review on this topic to summarize past achievements, synthesize knowledge gained, and navigate future research directions. In this paper, we try to summarize how DS accelerated the transition to CE. We conducted a critical review of where and how DS has helped the CE transition with a focus on four areas including (1) characterizing socioeconomic metabolism, (2) reducing unnecessary waste generation by enhancing material efficiency and optimizing product design, (3) extending product lifetime through repair, and (4) facilitating waste reuse and recycling. We also introduced the limitations and challenges in the current applications and discussed opportunities to provide a clear roadmap for future research in this field.

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Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review

Cited by 44 publications

References 96 publications

Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism

Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism

Mapping Research Trends With Factorial Analysis in Organizational Politics

Data Science Applications in Circular Economy: Trends, Status, and Future

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