Intrusion detection in cloud computing based on time series anomalies utilizing machine learning
The growth of cloud computing is hindered by concerns about privacy and security. Despite
the widespread use of network intrusion detection systems (NIDS), the issue of false …
the widespread use of network intrusion detection systems (NIDS), the issue of false …
An Approach to Intelligent Fault Diagnosis of Cryocooler Using Time‐Frequency Image and CNN
S Gao, Z Jiang, S Liu - Computational Intelligence and …, 2022 - Wiley Online Library
Cryocooler plays an essential role in the field of infrared remote sensing. Linear compressor,
as the power component of the cryocooler, will directly affect the normal operation and …
as the power component of the cryocooler, will directly affect the normal operation and …
[PDF][PDF] The Fractional Brownian Motion Dataset for Evaluating Extreme Quantiles Forecasting Methods.
Abstract Machine learning utilizes data for training. However, there are instances when the
data is insufficient. To determine the degree of risk of extreme events, it is necessary to …
data is insufficient. To determine the degree of risk of extreme events, it is necessary to …