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This study represents the use of a multivariate calibration method, two-dimensional partial least-squares analysis, for calibrating single-particle mass spectral data. The method presented here is far ...
A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...
A PLS model made with data from the time-resolved technique predicted samples 5 times better than a PLS model made data from the conventional NIR transmission technique. Furthermore, an improvement to ...
Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting highly skewed ...
Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road safety.
navs-svan / VISSIM-Pedestrian-Calibration Star 3 Code Issues Pull requests Calibration of the significant Social Force Parameters in Vissim genetic-algorithm model-calibration model-validation vissim ...
The local calibration models of one-product have some disadvantages as a large number of computations required for each prediction in routine analysis, besides the fact that each specific calibration ...