Abstract: In recent years, the significant success of deep learning (DL) in computer vision has contributed to its continuous development in the field of hyperspectral image (HSI) anomaly detection ...

Abstract: We continue the research begun in 1975 on structured estimation. The original work in 1976 by Morgera and Cooper dealt with the Gaussian two-category classification problem when the common ...

In clinical trials, it is common to have multiple clinical outcomes (e.g., coprimary endpoints or a primary and multiple secondary endpoints). It is often desirable to establish efficacy in at least ...

Flash drought (FD) is characterized by the rapid onset and development of drought conditions. It usually occurs during the growing seasons, causing more severe impacts on agriculture and society than ...

Notionally objective probabilistic risk models, built around ideas of cause and effect, are used to predict impacts and evaluate trade-offs. In this paper, we focus on the use of expert judgement to ...

ABSTRACT: Purpose: With the recent emergence of crowd logistics as a form of delivery that involves ordinary citizens rather than skilled couriers, understanding its environmental impact has become an ...

import tensorflow_probability as tfp import tensorflow as tf tfd = tfp.distributions dims = 4 mvn_model = tfd.MultivariateNormalTriL( loc=tf.Variable(tf.zeros([dims ...

Humans have been wondering whether we are alone in the universe since antiquity. We know from the geological record that life started relatively quickly, as soon our planet's environment was stable ...