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The least-used key selection method for information retrieval in large-scale Cloud-based service repositories
The experimental results show that the proposed least-used key selection method improves the service retrieval efficiency significantly compared with the designated key selection method in the case of the unequal appearing probability of parameters in service retrieval requests under three indexing models.
Digital Twinning Remote Laboratories for Online Practical Learning
The COVID19 pandemic has demonstrated a need for remote learning and virtual learning applications such as virtual reality (VR) and tablet-based solutions.
Cloud based Scalable Object Recognition from Video Streams using Orientation Fusion and Convolutional Neural Networks
Herein we demonstrate how a feature-fusion strategy of the orientation components leads to further improving visual recognition accuracy to 97\%.
Virtual Reality based Digital Twin System for remote laboratories and online practical learning
Research is currently being undertaken into developing generic models to enable the semi-automatic creation of a virtual learning application.
Optimization of Service Addition in Multilevel Index Model for Edge Computing
With the development of Edge Computing and Artificial Intelligence (AI) technologies, edge devices are witnessed to generate data at unprecedented volume.
Multiclass Disease Predictions Based on Integrated Clinical and Genomics Datasets
However, clinical predictions using information from genomics datasets as well is not a frequently observed phenomenon in research.
