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International Journal of Computer Applications in Technology is a peer-reviewed journal published by Inderscience, covering Manufacturing Process and Optimization, Service-Oriented Architecture and Web Services, Software Engineering Research.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Computer Applications in Technology, 12(3), pp. 45–58.
Formats any DOI in International Journal of Computer Applications in Technology style. No sign-up. |
| Publishes research in | Manufacturing Process and Optimization Service-Oriented Architecture and Web Services Software Engineering Research Metaheuristic Optimization Algorithms Research Advanced machining processes and optimization |
| ISSN | 0952-8091 |
| Citation impact (2-yr) | 0.23 |
| h-index | 36 |
| i10-index | 340 |
| Total citations | 12,370 |
| Top institutions publishing here | Nanyang Technological University |
| Journal website | www.ijcaonline.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
We propose a pair of shape features for searching surface-based 3D shape models based on their shape similarity. Either of the features is computed by first converting an input surface based model into an oriented point set model and then computing a joint 2D histogram of distance and orientation of pairs of points. Advantages of…
Under the right circumstances, teams that use professional facilitators and Group Support Systems (GSS) experience significant gains in productivity and quality of work life. However, because of the expense, facilitators are not available to many teams that could benefit from their interventions. The emerging field of Collaboration Engineering aims to formulate an approach for designing…
Material selection is a rapidly growing multi-criteria decision-making (MCDM) problem owing to the large number of factors affecting decision making. The right choice of available material is critical to the success and competitiveness of the manufacturing organisation. The analytical hierarchy process (AHP) is a tool designed to solve MCDM problems. The AHP was applied to…
An optimised XGBoost model based on genetic algorithm to search for optimal parameter combinations is proposed in this paper. It was proved that the improved algorithm has better classification effect than existing approaches through the liver disease data set Liver Disorders Data Set in the UCI Machine Learning Repository. In recent years, there have been…
