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In this paper, we propose d802.11 (dynamic 802.11) which dynamically adapts the protocol parameters in order to operate at varying link distances.
Our goal is to build a system that dynamically adapts to sudden changes in environmental conditions.
The intelligent virtual lighting system dynamically adapts virtual lighting in the projected imagery.
How our brain dynamically adapts to perform different tasks is vital to understanding the neural basis of cognition.
In this work, we present a novel cycle management policy which dynamically adapts to the varying workload.
Instead, it dynamically adapts itself to each new set of business requirements imposed by the collected contextual input(s).
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Based on the feedback-based learning approach, network agents in our scheme can dynamically adapt the current situation and adaptively select their strategies.
It provides an algorithm-level adaptation and is capable of dynamically adapting to appropriate prefetching algorithms at runtime.
Using dynamic programming, the utility function is maximized by dynamically adapting channel access, modulation, and coding according to the queue size and quality of the time-varying channel.
Our results suggest that a biologically plausible adaptation framework can be applied to speech processing systems to dynamically adapt feature representations for improving noise robustness.
Other ways are link adaptation techniques, where transmission parameters such as modulation and coding are dynamically adapted to the varying channel condition[3].
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