Accurate classification of tobacco leaf diseases is critical for objective disease assessment and management. However, traditional manual observation methods are inherently subjective, and ...
Abstract: In this paper, we present a motion planning algorithm designed to guide agents, termed as player agents, optimally through multi-agent 3D urban air environments. The method integrates a ...
LOS ANGELES, Calif.--(BUSINESS WIRE)--Zefr, a global leader in brand suitability technology for social platforms, today announced that the U.S. Patent and Trademark Office has granted the company a ...
This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
ABSTRACT: The sandstone reservoir of the Shanxi Formation serves as a key exploration and development target in the eastern Yanchuan gas field of the Ordos Basin, where its physical properties and ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
Gaussian process code in C++ including some implementations of GP-LVM and IVM. - BoltzmannBrain/GPc ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
One former Air Force leader anticipates that there are a plethora of additional ways that artificial intelligence (AI) and large language models (LLMs) can assist crews in accomplishing their tasks ...
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