The phrase "adaptive application" is correct and usable in written English.
It can be used to describe software or systems that adjust or modify their behavior based on user needs or environmental conditions.
Example: "The adaptive application learns from user interactions to provide a more personalized experience over time."
Alternatives: "flexible software" or "responsive application".
Using our approach, scientific programmers can focus on the design and implementation of adaptation schemes separately from the original code development, and then compose an adaptive application whose original capabilities are enhanced in diverse aspects such as performance and stability.
DisDaMin algorithms are based on the DG-ADAJ (Desktop-Grid Adaptive Application in Java), a middleware platform for Desktop Grid used as a deployment mechanism for DisDaMin algorithms.
We propose that the integration of an error management supplement in cross-cultural training can enhance trainee acquisition of self-regulation skills and self-efficacy that facilitate adaptive application of learning to novel cultural situations.
Multi-cloud adaptive application provisioning can solve the vendor lock-in problem and allows optimising user requirements by selecting the best from the multitude of services offered by different cloud providers.
The paper uses three adaptative applications examples to illustrate the capabilities and benefits of PCL, and to show experimentally that the performance overheads of using PCL for implementing an adaptive application are negligible.
Multi-cloud adaptive application provisioning promises to solve the vendor lock-in problem and lead to optimizing the user re- quirements through the selection of the best from the great variety of services offered by cloud providers.
Context-aware adaptive applications continually sense and adapt to their changing environments.
The help comes in the shape of an adaptation tuning model designed to improve the performance of adaptive applications, implemented for JEE servers, by upgrading or downgrading autonomic levels, according to available resources.
In this paper we present an adaptive application-driven power management (AADPM) strategy with online idle period length distribution learning capability for the IEEE 802.11b WLAN.
User-Aware Adaptive Applications for Enhanced Multimedia Quality in Heterogeneous Networking Environments.
Compiler and run-time support for irregular and adaptive applications.
