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Techniques and Emerging Trends for State of the Art Equipment Maintenance Systems—A Bibliometric Analysis
2018
Applied Sciences
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A proper methodology to obtain such an overview is the bibliometric analysis method. In the presented work, we apply a bibliometric analysis to the field of equipment maintenance systems. ...
The increasing interconnection of machines in industrial production on one hand, and the improved capabilities to store, retrieve, and analyze large amounts of data on the other, offer promising perspectives ...
These intelligent electronic devices enable two-way communication between meter and production system. Furthermore, Big Data Analysis (3) and Data Science (4) are focusing on data analytics. ...
doi:10.3390/app8060916
fatcat:dhxy6em3jvh6nbmgsdkbq5uqce
Headphone-To-Ear Transfer Function Estimation Using Measured Acoustic Parameters
2018
Applied Sciences
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A proper methodology to obtain such an overview is the bibliometric analysis method. In the presented work, we apply a bibliometric analysis to the field of equipment maintenance systems. ...
The increasing interconnection of machines in industrial production on one hand, and the improved capabilities to store, retrieve, and analyze large amounts of data on the other, offer promising perspectives ...
These intelligent electronic devices enable two-way communication between meter and production system. Furthermore, Big Data Analysis (3) and Data Science (4) are focusing on data analytics. ...
doi:10.3390/app8060918
fatcat:ljaq6ythq5cnzgelmhk4y7r5ui
Ambalytics: A Scalable and Distributed System Architecture Concept for Bibliometric Network Analyses
2021
Future Internet
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In this paper, we present the ambalytics bibliometric platform, which reduces the complexity of bibliometric network analysis and the visualization of results. ...
Calculating and visualizing bibliometric networks is a nontrivial and time-consuming data science task that requires highly skilled individuals. ...
Analyses performed on large datasets, such as bibliometric analyses across the entire medical field, may contain millions of publications and may run based on a big data computing cluster framework. ...
doi:10.3390/fi13080203
fatcat:jy7fms65xbco3mheb5zug2hjqe
A Review of Data Mining Applications in Semiconductor Manufacturing
2021
Processes
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A detailed bibliometric analysis is also made. All data mining applications are classified in function of the application area. The results are then analyzed and conclusions are drawn. ...
With the help of data mining techniques unknown relationships can be systematically discovered. ...
In Section 2, a brief overview of the semiconductor manufacturing process is given. In Section 3, a structured bibliometric analysis is made. ...
doi:10.3390/pr9020305
fatcat:jyxg4mt3gvbahnu3snh4i3rxvm
AN OVERVIEW OF FUZZY TECHNIQUES IN SUPPLY CHAIN MANAGEMENT: BIBLIOMETRICS, METHODOLOGIES, APPLICATIONS AND FUTURE DIRECTIONS
2021
Technological and Economic Development of Economy
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Finally, we propose future directions regarding fuzzy techniques in SCM. It is hoped that this paper would be helpful for scholars and practitioners in the field of fuzzy decision making and SCM. ...
Although there were review papers about either fuzzy methods or SCM, most of them did not use bibliometrics methods or did not consider fuzzy sets theory-based techniques comprehensively in SCM. ...
For example, Wang et al. (2016) studied the role of big data analytics in SCM, while Soheilirad et al. (2018) reviewed the applications of data envelopment analysis models in SCM. ...
doi:10.3846/tede.2021.14433
fatcat:62hlbeiukbeplnfnwxehbevs5y
Machine-Learning-Based Digital Twin in Manufacturing: A Bibliometric Analysis and Evolutionary Overview
2022
Applied Sciences
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However, there is still a lack of a systematic literature review on different aspects of ML-based DT in the manufacturing industry from a bibliometric and evolutionary perspective. ...
The total number of papers and citations per paper on ML-based DT is increasing. The relevance of ML in DT has increased over time. The current trend is to use ML-based DT for data analytics. ...
a technique for content analysis of textual data. ...
doi:10.3390/app12136512
fatcat:sxlirv2tufazbkuy4ovslal3qy
Technology Roadmapping of Emerging Technologies: Scientometrics and Time Series Approach
[chapter]
2018
Scientometrics
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information in a single visual element. ...
It proposes an approach which combines a set of quantitative methods to completely describe an emerging technology, based on science, technology & innovation data. ...
Results and discussion In order to test the applicability of the approach, and to analyze the outcomes obtained from its application, the whole approach was applied to a cutting edge technology, big data ...
doi:10.5772/intechopen.76675
fatcat:6cycw6vqj5banblmud2bgmuwwi
Integration of Solar Photovoltaic Systems into Power Networks: A Scientific Evolution Analysis
2022
Sustainability
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Using an in-house bibliometric tool, Bibliometrix R-package, and the open-source tool VOSviewer we obtained bibliometric indicators, mapped the network analysis, and performed a multivariate statistical ...
This paper presents a comprehensive quantitative bibliometric study to identify the new trends and call attention to the evolution within the research landscape concerning the integration of solar PV in ...
-SGR-1409), and the Tarragona's council (2021PGR-DIPTA-URV01). ...
doi:10.3390/su14159249
fatcat:kmymmk6mtjffnmtfmsc6m7yht4
APPLICATION OF MULTIPLE CRITERIA DECISION MAKING METHODS IN CONSTRUCTION: A SYSTEMATIC LITERATURE REVIEW
2021
Journal of Civil Engineering and Management
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The bibliometric analysis is then used to describe the research trend. Subsequently, the qualitative discussion by themes is conducted to analyze the application of MCDM methods in construction. ...
Decision making is a key to business or project success in any sectors, especially in construction that requires handling numerous information and knowledge. ...
Thanks should also be given to Professor Kao-Yi Shen in Chinese Culture University for his suggestions on the development of MADM and MODM dendrograms. ...
doi:10.3846/jcem.2021.15260
fatcat:rolr6hofm5fhzgmpcuali7b7wq
Visualization Method for Decision-Making: A Case Study in Bibliometric Analysis
2021
Mathematics
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Therefore, this text is presenting a new strategy on the bibliometric dataset as a case study and it demonstrates that this strategy can be more meaningful for the end users than the current tools. ...
We investigate a case study in bibliometric analyses, which have become an important dimension and tool for evaluating the impact and performance of researchers, departments, and universities. ...
Data Availability Statement: Not applicable.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/math9090940
doaj:d8893c4dca9b499cb45002bfacf9d58b
fatcat:bvfpu2llrvhj3c3pn6n3m7v6e4
The Application of Genetic Algorithm in Land Use Optimization Research: A Review
2021
Land
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This article used a bibliometric analysis method to explore current state and development trends for GA-LUO from 1154 relevant documents published over the past 25 years from Web of Science. ...
Land use optimization (LUO) first considers which types of land use should exist in a certain area, and secondly, how to allocate these land use types to specific land grid units. ...
However, what is certain is that its integration with cutting-edge technologies such as artificial intelligence and big data should be the main development direction in the future [106, 107] . ...
doi:10.3390/land10050526
fatcat:ozzahrnghrcynnavg2ywalk5na
Towards an AEC-AI Industry Optimization Algorithmic Knowledge Mapping An Adaptive Methodology for Macroscopic Conceptual Analysis
2021
IEEE Access
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The Architecture, Engineering, and Construction (AEC) Industry is one of the most important productive sectors, hence also produce a high impact on the economic balances, societal stability, and global ...
In this paper, we develop an adaptive approach to mining text content in the literature research corpus related to the AEC and AI (AEC-AI) industries, in particular on its relation to technological processes ...
Similarly, we are extending the analysis to other domainspecific areas to integrate results and to improve biases in search and coverage of related terms. ...
doi:10.1109/access.2021.3102215
fatcat:kjkbddvbcrgp3k7api3j6pkgse
The Impact of Artificial Intelligence on Data System Security: A Literature Review
2021
Sensors
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This paper aims at identifying research trends in the field through a systematic bibliometric literature review (LRSB) of research on AI and system security. the review entails 77 articles published in ...
AI is increasingly employed in managing data security across economic sectors. Thus, a literature review of AI and system security within the current digital society is opportune. ...
The authors were supported by the GOVCOPP Research Unit of Universidade de Aveiro and ISEC Lisboa, Higher Institute of Education and Sciences. ...
doi:10.3390/s21217029
pmid:34770336
pmcid:PMC8586986
fatcat:bxl7r6q5fjdrnntsn3sh4tvgte
Machine-Learning-Based Disease Diagnosis: A Comprehensive Review
2022
Healthcare
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Initially, a bibliometric analysis of the publication is carried out using data from the Scopus and Web of Science (WOS) databases. ...
Based on relevant research, this review explains how machine learning (ML) is being used to help in the early identification of numerous diseases. ...
In Section 2, we discuss the background and overview of ML and DL, whereas in Section 3, we detail the article selection technique. Section 4 includes bibliometric analysis. ...
doi:10.3390/healthcare10030541
pmid:35327018
pmcid:PMC8950225
fatcat:5obhqlgyendtbgq4werl6ruxda
Topics and trends in artificial intelligence assisted human brain research
2020
PLoS ONE
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Analyses on topical trends, correlations, and clusters reveal distinct developmental trends of these topics, promising research orientations, and diverse topical distributions in influential countries/ ...
This paper combines the structural topic modeling (STM) with the bibliometric analysis to automatically identify prominent research topics from the large-scale, unstructured text of AI-assisted human brain ...
Integrating the cutting-edge text mining approaches with the time-honoured bibliometric approach forms a robust empirical framework which situates fine-grained discursive results in the large textual data ...
doi:10.1371/journal.pone.0231192
pmid:32251489
fatcat:fopwroopq5germh5khwevx3uhq
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