A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
The mortgage valuation literature is saturated with numerous studies using the contingent claims approach to value mortgages. So far, efforts are directed into two alternative model frameworks. First, ...
SILICON VALLEY - Jan. 22, 2026 - AI technology firm SumeruAI today announced the official launch of Mugen3D, a ...
This research from Keio University leverages Gaussian process regression, enabling robots to intuitively adjust grip based on object properties and stiffness.
This paper develops a tractable economic model of AJI that treats adoption as an information problem: users care about local reliability, but typically observe only coarse, global quality signals. In ...
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
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 ...
Abstract: Existing periodic Gaussian process (PGP) modeling methods rely on the regularly-spaced-signal assumption (i.e., signals are evenly spaced) and the integer-period assumption for the sake of ...
(a) Disease progression can be classified into three states: the normal stage, pre-disease stage and disease stage, with the pre-disease stage representing a critical threshold just before the onset ...
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