Sentence examples for adaptive storage from inspiring English sources

'adaptive storage' is a correct and usable phrase in written English
It usually refers to computer memory storage that automatically grows and shrinks depending on the amount of data being stored. For example: "My laptop's adaptive storage made sure I never ran out of storage space, no matter how many files I saved."

Exact(3)

A heuristic optimization based on an Adaptive Storage Operation (ASO) scheduling is developed in this study.

Storage falls on the 32GB (or 64GB) offered internally, with microSD card expansion up to 2TB and support for adaptive storage (storing apps on the card).

It is an adaptive storage and computing service that exploits the full potential of multiple computers together as a virtual resource via the Internet [ 48].

Similar(57)

Unfortunately, the commonly employed algorithms fail to be adaptive to the new storage pattern on mobile edge cloud.

Evaluation results show that the adaptive MMPC outperforms the storage priority control and also ensures a near-optimal performance in load shifting under various uncertainty situations, including depreciation scenarios and unmeasured disturbance scenarios.

This is an efficient adaptive mechanism for energy storage during times of abundant food supply, enhancing survival upon starvation.

Native UK breeds naturally live in nutritionally sparse winter environments, such as on mountains or moorland [ 31], and nuchal crest adiposity may therefore be an adaptive mechanism of fat storage for survival during periods of nutritional scarcity.

His real estate deals have been creative and cutting edge: first factory outlet center in urban US, power center development in Albany, New York, early condominium conversion project, early self-storage facility, adaptive reuse of warehouses, apartment buildings, offices, factories and retail buildings in New England and Miami.

For this reason, reducing data storage for speaker adaptive (SA) acoustic models becomes an important issue when considering speaker adaptation to enhance speech recognition performance.

To mitigate the cost in both CPU time and storage requirements, an adaptive strategy tailored for particle PDF methods is presented here, which provides for each particle a specialized reduced representation and kinetic model adjusted to its changing composition.

To reduce data storage for speaker adaptive (SA) models, in our previous work, we proposed a sparse speaker adaptation method which can efficiently reduce the number of adapted parameters by using Euclidean projection onto the L 1-ball (EPL1) while maintaining recognition performance comparable to maximum a posteriori (MAP) adaptation.

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