This paper establishes an adaptive correction predictive energy management strategy
(EMS) to obtain optimal power distribution in the case of inaccurate prediction with excellent …

Lidar technology plays a pivotal role in lunar exploration, particularly in terrain map**, 3D
topographic surveying, and velocity measurement, which are crucial for guidance …

Textbook wisdom advocates for smooth function fits and implies that interpolation of noisy
data should lead to poor generalization. A related heuristic is that fitting parameters should …

Recent empirical and theoretical analyses of several commonly used prediction procedures
reveal a peculiar risk behavior in high dimensions, referred to as double/multiple descent, in …

In some studies (eg, C. Zhang et al. in Proceedings of the 5th International Conference on
Learning Representations, OpenReview. net, 2017) of deep learning, it is observed that …

This work studies finite-sample properties of the risk of the minimum-norm interpolating
predictor in high-dimensional regression models. If the effective rank of the covariance …

Cloud cover and shadows often hinder the accurate analysis of satellite images, impacting
various applications, such as digital farming, land monitoring, environmental assessment …

Spatial prediction is to predict the values of the targeted variable, such as PM2. 5 values and
temperature, at arbitrary locations based on the collected geospatial data. It greatly affects …

High-intensity focused ultrasound (HIFU) applications for thermal or mechanical ablation of
renal tumors often encounter challenges due to significant beam aberration and refraction …

Spatial interpolation is the task to interpolate the targeted index, such as PM2. 5 values and
temperature, at arbitrary locations based on the collected geospatial data. It greatly affects …