Titlebook: Context-Aware Systems and Applications; 11th EAI Internation Cong Vinh Phan,Thanh Dung Nguyen Conference proceedings 2023 ICST Institute fo

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书目名称Context-Aware Systems and Applications影响因子(影响力)




书目名称Context-Aware Systems and Applications影响因子(影响力)学科排名




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书目名称Context-Aware Systems and Applications网络公开度学科排名




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书目名称Context-Aware Systems and Applications被引频次学科排名




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书目名称Context-Aware Systems and Applications读者反馈




书目名称Context-Aware Systems and Applications读者反馈学科排名

Hippocampus

A Survey of On-Chip Hybrid Interconnect for Multicore Architecturesegorize them into two different groups. The first one includes hybrid interconnects that create the interconnects by using different Network-on-Chip topologies. We named this group as .. The second group, named ., combines different architectures, such as bus and NoC, to form hybrid interconnects.

偏离

Identification of Abnormal Cucumber Leaves Image Based on Recurrent Residual U-Net and Support Vectores of these diseases are similar. Therefore, the automatic identification of these diseases presents many challenges. The proposed method uses the recurrent residual U-Net deep learning model and the traditional support vector machine technique to identify diseases on cucumber leaves with an average accuracy of 96.33%, higher than other methods.

LEER

Fault Diagnosis of Large-Scale Railway Maintenance Equipment Based on GA-RBF Neural Networkect widely concerned by many experts at home and abroad. In this paper, genetic algorithm (GA) is used to optimize the parameters of radial basis function (RBF) neural network for diesel engine fault diagnosis, experimental results show the validity of this prediction method, and the accuracy of the proposed algorithm was verified by comparative.

Hay-Fever

六边形

六边形

guzzle

,Contextualising Pearce’s Social Enterprise,ect widely concerned by many experts at home and abroad. In this paper, genetic algorithm (GA) is used to optimize the parameters of radial basis function (RBF) neural network for diesel engine fault diagnosis, experimental results show the validity of this prediction method, and the accuracy of the proposed algorithm was verified by comparative.

PRE

bronchiole

Safe Interaction Between Human and Robot Using Vision Techniqueawareness about human. To verify our approach, several experiments are launched in the indoor environment. Three test cases are depicted to imitate the real-world situation. From these results, it could be seen clearly that the proposed scheme is effective, feasible and proper for autonomous robot to avoid obstacles.