Sentence examples for machine leakage from inspiring English sources

Exact(1)

Dabrowski and Mills [74] used simulation to demonstrate virtual machine leakage and resource exhaustion scenarios leading to degraded performance and crashes; they also propose the addition of orphan controls to enable the virtualized cloud environment to offer higher availability levels while keeping overhead costs under control.

Similar(59)

In a positive-displacement machine, neglecting leakage, the volume rate of flow (cubic feet per second) through the compressor is essentially constant over a wide range of discharge pressures.

Vibration analysis, Pulse echo methodology, Acoustic techniques, Negative pressure wave based leak detection system, Support Vector Machine (SVM) based pipeline leakage detection, Interferometric fibre sensor based leak detection, Filter Diagonalization Method (FDM), etc.

Alternate methods of assessing kidney viability prior to transplantation are being researched including the use of flow characteristics combined with enzyme leakage from machine perfused kidneys [ 10, 11].

The goal of this approach is to isolate customer virtual machines from each other to prevent data leakage across virtual machines.

Ristenpart et al.[44] also explore virtual machine exploitation focusing on information leakage, specially sensitive data at rest or in transit.

The maximum radiation dose at the contralateral breast and the dose at the site of the contralateral tumour were estimated from the treatment charts by a radiation oncologist (NS Russell; details of the calculation of the radiation dose to the contralateral breast (taking into account all given doses, fields, machine types, scatter and collimator leakage) are available from the authors on request).

The contralateral breast received about 1 to 10% of the total dose from scatter and collimator leakage from the RT machine.

The goal of this project is to detect and mitigate intentional and unintentional leakage of sensitive data from machine-learning models and to ensure that models do not contain backdoors or hidden functionality.

They also assist maintenance workers when there is a large dust leakage due to the failure of machines.

Toward this objective, a least square support vector machine (LS-SVM) classifier was developed as an automatic leakage detection technique.

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