As an important index of plant growth, the water content can be used to detect the degree of water deficit and ultimately to guide rational irrigation 1. The traditional chemical analysis method for ...
Obtaining information is a crucial part of normal decision-making under uncertainty. For example, deciding where to go out for dinner requires building predictions about how good the food, atmosphere ...
This repository contains an implementation of a model extraction algorithm that harnesses the power of evolutionary algorithms to efficiently extract the victim model with zero assumptions on the ...
Accurate forest volume estimation is crucial for sustainable forest management, but the most commonly used methods often rely on models that may not always be applicable across different tree species ...
Statistical communication through data visualization is essential across diverse fields, including health, climate, science, education, and policymaking. Despite its widespread use, there is currently ...
There has been growing attention to multi-class classification problems, particularly those challenges of imbalanced class distributions. To address these challenges, various strategies, including ...
Abstract: Trajectory optimization for robotic systems remains a challenging problem. This is especially true for robotic systems featuring nonlinear dynamics and many degrees of freedom. Data-based or ...
Abstract: Trajectory optimization for robotic systems remains a challenging problem. This is especially true for robotic systems featuring nonlinear dynamics and many degrees of freedom. Data-based or ...
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