Role of industrial automation in terms of providing predictive maintenance in the transportation and logistics sector

The best practitioners of Spatial cluster analysis the whole of ideas, innovation, convey the practices and challenges, so be spread is very important, the logistics industry of Spatial cluster analysis, a unique interdisciplinary effort, epidemiologists apply the statistics. In this study, reviewed...

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Bibliographic Details
Published in2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC) pp. 1012 - 1016
Main Authors Shamout, Mohamed Dawood, Chaubey, Pavan Kumar, Agarwal, Priyanka, Adwan, Ibrahim A I, Sharma, Anuj Kumar, Yadav, Ajay Singh
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.11.2022
Subjects
ARM Heterogeneous
cluster analysis
Clustering algorithms
Industries
Integrated circuits
Logistics Industry
Random Support Vector System
Reduced instruction set computing
Spatial
Spatial databases
Technological innovation
Transportation
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Summary:The best practitioners of Spatial cluster analysis the whole of ideas, innovation, convey the practices and challenges, so be spread is very important, the logistics industry of Spatial cluster analysis, a unique interdisciplinary effort, epidemiologists apply the statistics. In this study, reviewed the scope of the retrieval spatial cluster analysis method employed by systematically individual level, a peer-reviewed journal database to study the data obtained from the address position or coordinates. Advanced Resource management (ARM) for logistics are widely used in such consumer transport monitoring. Because of its reduced instruction set, require effective few transistors smaller for the Integrated Circuit (IC) which is used to logistics monitoring in transportation. The existing system does not have proper result for less accuracy of logistics industry spatial cluster analysis and then less poor performance of spatial cluster analysis for prediction and classification. The proposed method gives correct result of more accuracy of logistics industry spatial cluster analysis and then high performance of spatial cluster analysis in this section using Random Support Vector System (RSVS) algorithm. The proposed system processes the data collection and analysis, then use the classification process, Advanced RISC Machines (ARM) Heterogeneous and Spatial cluster analysis and predict the result.
DOI:10.1109/IIHC55949.2022.10060193