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To facilitate development of detailed truck flow pattern data, this paper describes a new truck tracking algorithm that was developed to estimate path flows of trucks by adopting a linear data fusion method utilizing weigh-in-motion (WIM) and inductive loop point detectors.
In this work, we use the Shadowing model to estimate path loss and received power in the Amazon rainforest.
As a consequence, making use of mobility and positioning factors is the easiest way to estimate path duration.
We adopt indoor and outdoor path loss models defined in wireless world initiative new radio (WINNER) II project[18] to estimate path loss in macro-and femtocell, respectively, as follows: PL outdoor = 32.
The covariance structure software AMOS [ 30] was used to calculate the estimate path coefficients using a bootstrapping method (2000 bootstrap samples were used) [ 31].
To estimate path representation in the replay, the place maps of the maze in neurons participating in the replay were simply summed up in response to the number of spikes (see 'Materials and methods').
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For this purpose we used the Initialization-and-Search-Improved SAGE (ISIS) estimator [32] to estimate paths from every measured snapshot.
The new tags will allow Watkins and his team to map day and night vertical excursions, as well as use light data and temperature profiles to estimate paths across the lake.
One group, the empirical models (e.g. One Slope Model [4]), utilises relatively simple formulas containing empirical parameters to estimate path-loss and therefore do not require a database of exact positions of obstacles.
The estimated path model accounted for approximately half the variance in math reasoning.
The log files include detailed fit statistics, as well as the estimated path coefficients for the latent factors, along with their standard errors.
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