Combining Kalman prediction and equal interval organization measure, a render data optimized organization strategy was proposed. Kalman prediction was adopt to�...
Liyun Hao, Rui Cao, Lingda Wu, Zhongwen Zhao: A Render Data Optimized Organization Strategy Based on Kalman Prediction. J. Comput. 8(12): 3287-3292 (2013).
A Render Data Optimized Organization Strategy Based on Kalman Prediction. J. Comput. 8(12): 3287-3292 (2013). [+][–]. Coauthor network. maximize. Note that this�...
Combining Kalman prediction and equal interval organization measure, a render data optimized organization strategy was proposed. Kalman prediction was adopt to�...
In this paper, we employed the optimal Kalman filtering technique to build a predictive and analytic framework for cloud server KPIs, based on historical data.
Missing: Render Organization
Abstract—This paper describes a multi-grain parallel accelerate system for H.264 encoder on UltraSPARC T2 processor. This system integrates pipeline parallelism�...
Apr 25, 2024 � ABSTRACT. In this study, we utilize the Kalman-Filter analysis to assess market efficiency in major stock markets.
This study proposes a closed-loop SOC estimation method based on simulated annealing-optimized support vector regression (SA-SVR) combined with minimum error�...
May 25, 2024 � The Kalman Filter is a recursive algorithm that provides estimates of the true state of a system based on a series of noisy observations. It�...
Missing: Render Organization
This article investigates the use of Kalman filters at strategic network locations to allow predictions of fu- ture network congestion.