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Paper presents a modular approach for time series analysis area.
This paper presents a novel approach for time delay estimation (TDE) for indoor impulsive source localization.
In this paper, a new approach for time series forecasting is presented.
A new approach for time series modeling is proposed in this paper.
This paper presents a new approach for time series data mining and knowledge discovery.
For overload or underload host detection, long-term predictions of resource usage are made, based on Gaussian processes as a machine learning approach for time series forecasting.
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A similar approach for time-predictable caching is to lock cache blocks.
A statistical approach for time-variant system reliability problems is developed and investigated.
A partitioned coupling approach for time-dependent fluid structure interactions is applied to thin shells and membranous structures with large displacements.
The classical Riccati equation approach, for time-varying infinite-dimensional systems, is extended to cover the two-time scale property of the fixed-bed reactor.
Properties of the filter with time-varying coefficients are analyzed using proposed previously by the author simplified frequency approach for time-varying systems.
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