"anomaly identification" is a correct and usable term in written English.
You can use it when referring to identifying something unusual or out of the ordinary. For example: "Artificial Intelligence algorithms are beginning to be used for anomaly identification in many industries."
In addition, the length of these lines is insufficient for unique magnetic anomaly identification.
For example, hydro sensor readings in the winter may fluctuate outside the acceptable anomaly identification range, but this could be due to varying external temperatures influencing how a building manages their heating and ventilation.
To support outlier-based network anomaly identification, we use the following modules: a mutual information and generalized entropy based feature selection technique to select a relevant non-redundant subset of features, a tree-based clustering technique to generate a set of reference points and an outlier score function to rank incoming network traffic to identify anomalies.
Geochemical anomaly identification in areas with overburden is a challenging task because primary geochemical anomaly signals from buried mineralization could be masked by cover layers, and could also be overprinted by various pseudo-geochemical anomalies formed by mobile elements.
Where anomalies exist, identifications based on the most advanced instrumentation (GLC-MS; H1NMR) are given the most weight as opposed to less specific methods (absorption spectra, etc).
Architects, who had previous experience on the detection of architectural problems and code anomalies, made the identification of architectural problems.
The co-existence of non-stationary and nonlinear signals embedded in SST anomalies makes the identification of the teleconnection patterns difficult at the local scale.
Here, we review knowledge accumulated through the years on the molecular genetics of ependymoma, from the familial genetic risk factors and early cytogenetic detections of broad chromosomal anomalies to the identification of candidate driver genetic events and pathways in ependymoma tumorigenesis.
The developed framework enables identification of anomalies in the field that cause customer dissatisfaction and performs root cause investigation of the anomalies.
This is consistent with the previous identification of anomalies 21 to 19 (Louden1976; Shih1980; Mrozowski et al.1982; Hilde and Lee1984).
