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110 results for “information center”
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Research ArticleOpen accessIn the abstractRotation Center Fitting based on Rotation Hybrid Calibration MethodYi Guo, Doudou Lei, Yu Liu, Baolong LiuLine laser rotation scanning can obtain accurate full contour information of the object with non-destructive testing. The key point in this process is the calibration rotation center. The calibration of the rotation center is mainly obtained through the characteristics of circles. Existing calibration schemes lead to a holed or over-gathered result. In order to solve this problem, this paper proposes … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 3 · 10 Sep 2020 · 6,342 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Low-Cost Vehicular Infrastructure of Monitoring and Communicating Information for Intelligent Transport SystemsDaniel Rodrigues, Jessica Nayara Severino, Andre Luis Cristiani et al.Currently, vehicles have a very large range of sensors and actuators, capable of not only sensing the condition of vehicles but also the environment around them. The information from these sensors can be used for various services in which they can bring greater comfort, safety and entertainment to the passengers and conductors of the vehicle. However, the great challenge lies … …Journal of Computer Science, Vol. 15, Issue 7 · 5 Jul 2019 · 7,719 accessesView PDFCite
Research ArticleOpen accessIn the abstractPatient Data Integration: A Panacea for Effective HealthcareHenry Anayo Okemiri, Alo Uzoma Rita, Achi Ifeany Isaiah et al.A huge challenge in the healthcare domain has remained the spread and proliferation of fragmented information systems and multiplicity of data that accumulate from growing quantities of heterogeneous data of patient. This challenge must be addressed as the whole domain gradually transforms into models of delivery of healthcare that is electronic and patient-centered. The presence of inadequate data integration at … …Journal of Computer Science, Vol. 16, Issue 2 · 22 Feb 2020 · 7,727 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Hybrid Model to Predict the Performance of Trainee Teachers Based on Clustering and ClassificationYissam Lakhdar, Khawla EL-Bendadi, Brahim BakkasThis article explores how artificial intelligence, particularly machine learning, can be used to assess and predict the performance of trainee teachers in Morocco. Considering the country's focus on integrating technology into education and the challenges posed by the COVID-19 pandemic, the authors propose a novel hybrid model that combines clustering and classification algorithms. This model aims to understand the Information … …Journal of Computer Science, Vol. 20, Issue 9 · 26 Jun 2024 · 5,100 accessesView PDFCite