ANALYSIS OF MICROSEISMICITY IN SEA ICE WITH DEEP LEARNING AND BAYESIAN INFERENCE: APPLICATION TO HIGH-RESOLUTION THICKNESS MONITORING

Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring

In the perspective of an upcoming seasonally ice-free Arctic, understanding the dynamics of sea ice in the changing climate is a major challenge in oceanography and climatology.In particular, the new generation of sea ice models will require fine parameterization of sea ice thickness and rheology.With the rapidly evolving state of sea ice, achievin

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Multidisciplinary management of thoracic aortic injury with hemodynamically unstable pelvic fracture in the elderly

Abstract Blunt thoracic aortic injury (BTAI) is a critical clinical emergency often presenting as severe trauma.The early diagnosis and treatment of BTAI pose significant challenges in tuner signal wire its management, especially when patients experience early-stage hemodynamic instability.Presently, in the context of multiple traumas, there is an

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Explainable Distance-Based Outlier Detection in Data Streams

Explaining outliers is a topic that attracts a lot of CALMING LAVENDER BABY WASH interest; however existing proposals focus on the identification of the relevant dimensions.We extend this rationale for unsupervised distance-based outlier detection, and through investigating subspaces, we propose a novel labeling of outliers in a manner that is intu

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