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We present a methodology for constructing and evaluating models for adaptive informal technology-enhanced workplace learning.
Other investigators developed theoretical models for adaptive bone remodeling in response to altered mechanical loading (Helgason et al. 2008).
This paper investigates applications of dynamic neural network (DNN) models for adaptive load frequency controller designs in power systems.
This can be supported by the development of systematic methodology on learning models for adaptive co-management between diverse and conflicting landscape managers.
The STREAM-A (Strategy for Transition between Requirements and Architectural Models for Adaptive systems) approach (Pimentel et al. 2012) uses goal models based on i* (istar) framework to support the design and evolution of systems that require adaptability.
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(1) Fig. 1 System model for adaptive transmission.
Section 3 describes the tuning model for adaptive computations.
In this section, we present a model for adaptive rate multiservice cellular systems.
The system model for adaptive transmission is illustrated in Fig. 1.
In this article, we propose a tuning model for adaptive computations.
In this article, we propose a model for adaptive scheduling in multi-site companies.
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