A reply network was extracted from the data set, and exponential random graph models were used to discover patterns of information exchange and social support from the network. Results: Results showed ...
Abstract: Multivariate time series data often demonstrate sparse and irregular characteristics in real-world signal processing applications, making anomaly detection challenging. This paper introduces ...
Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
According to the household revenue and expenditure survey conducted by the Department of Census and Statistics, the estimated annual rice consumption of Sri Lanka is 2,460,000 metric tons and, the ...
The IFSC Grade A Phase 1 Exam 2025 has concluded, and based on the initial reactions and feedback from students and faculty, the overall difficulty level of the exam can be categorized as moderate. In ...
Abstract: In the fields of traffic flow prediction and other intelligent forecasting applications, the technology of multivariate time series forecasting using graph neural networks (GNNs) is ...
As per the updated schedule, candidates can now register for the Jawahar Navodaya Vidyalaya Selection Test (JNVST) until October 21, 2025 Candidates must appear for the test at the exam center ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback