Bike-sharing systems are a rapidly developing mode of transportation and provide an
efficient alternative to passive, motorized personal mobility. The asymmetric nature of bike …

Electric vehicle charging demand models, with charging records as input, will inherently be
biased toward the supply of available chargers. These models often fail to account for …

We propose a variational inference-based framework for training a Gaussian process
regression model subject to censored observational data. Data censoring is a typical …

Self-loop is a unique phenomenon observed in the daily operations of bike-sharing systems,
characterized by bike returning to its original starting point after several trips within the bike …

To improve the robust characteristic and filtering accuracy of the traditional adaptive filtering
algorithms (AFAs) under censored regression (CR) model in impulsive interference …

New frequency bands, such as the mmWave at 28 GHz for fifth Generation networks in
Frequency Range 2, are being introduced to accomplish the required throughput for new …

The water pump is a piece of crucial electromechanical equipment to ensure the safety of
tunnels. Therefore, it's essential to master the performance trend of pumps to prevent the …

A multi-target regression with two-directional stacking is proposed and applied to spectral
reflectance reconstruction. Most of the previous studies for this problem have focused on …

To tackle with highly correlated input signals and impulsive interferences under censored
regression (CR) model, this brief presents a novel CR-type algorithm called robust censored …

Censoring occurs when an outcome is unobserved beyond some threshold value. Methods
that do not account for censoring produce biased predictions of the unobserved outcome …