The phrase "ais monitoring" is not correct in written English.
Did you mean "AI monitoring"? If this is the case, you can use it when referring to the process of overseeing or tracking activities related to artificial intelligence systems.
Example: "The company has implemented AI monitoring to ensure that the algorithms are functioning as intended and to prevent any biases."
Alternatives: "artificial intelligence oversight" or "AI supervision".
Moreover, Scoliometer is a good noninvasive modality monitoring the progression of AIS without the concern of radiation exposure to patients [ 9, 10].
The analysis of the cell wall degradation by F.graminearum was performed by monitoring the monosaccharide composition of AIS isolated from infected spikes at different hpi.
Furthermore, compliance with prescribed wearing schedules is also a factor that decreases the efficacy of brace treatment [ 7] (Karol LA et al.: "The effect of compliance monitoring on brace use and success in patients with AIS". Paper presented at the POSNA Annual Meeting 2013, Toronto, Canada).
A scheme of the online monitoring system for the ship discharging pollution is designed based on AIS (Automatic Identification System) information, Using the received real-time AIS information and the ship pollution solution model, the distribution of port pollution can be derived.
Detection of AIS signals from space will provide a new capability to track and monitor large maritime vessels even when there are large distances from traditional shore based detection systems.
These were the standard individual data set containing sociodemographic information for males and females, a household member data set with information on all household members and characteristics, and AIS data set that had HIV test results along with other indicators for HIV monitoring.
Despite a growing body of literature calling for more dynamic, flexible and "complexity-aware" approaches to monitoring and evaluation, few concrete examples exist of ToC that takes complexity dynamics within AIS into account, or provide guidance on how such theories could be developed.
We present a small class hierarchy of AIS niches that exhibit these dimensions of variability and describe a particular AIS niche, ICU (intensive care unit) patient monitoring, which we use for illustration throughout the paper.
The AIS-GIB score could be used to identify patients at particularly high risk and then implement more aggressive monitoring (e.g. daily stool guaic testing) or more aggressive prophylaxis (e.g. PPI plus sucralfate).
AIS algorithm is tested with benchmark problems.
