Results 1 to 10 of about 140,191 (290)
Integrated deep learning framework for unstable event identification and disruption prediction of tokamak plasmas [PDF]
Nuclear Fusion, 2023 The ability to identify underlying disruption precursors is key to disruption avoidance. In this paper, we present an integrated deep learning (DL) based model that combines disruption prediction with the identification of several disruption precursors ...
J.X. Zhu +6 more
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Disruption of Cerebellar Prediction in Verbal Working Memory [PDF]
Frontiers in Human Neuroscience, 2019 Mounting evidence suggests that the right cerebellum contributes to verbal working memory, but the functional role of this contribution remains unclear. In an established theory of motor control, the cerebellum is thought to predict sensory consequences ...
Yi-Shin Sheu, Yu Liang, John E. Desmond
doaj +3 more sources
IDP-PGFE: an interpretable disruption predictor based on physics-guided feature extraction [PDF]
Nuclear Fusion, 2023 Disruption prediction has made rapid progress in recent years, especially in machine learning (ML)-based methods. If a disruption prediction model can be interpreted, it can tell why certain samples are classified as disruption precursors. This allows us
C. Shen +12 more
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Machine Learning for Plasma Disruption Prediction in TCABR
IEEE AccessPlasma disruptions are one of the most critical challenges in tokamak operations, as they can severely damage reactor components and compromise fusion performance.
Vinicius M. Neto +3 more
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Big data analytics and anomaly prediction in the cold chain to supply chain resilience [PDF]
FME Transactions, 2021 The purpose of the research was to develop a prediction method to prevent disruption related to temperature anomaly in the cold chain supply. The analysed data covers the period of the entire working cycle of the thermal container.
Lorenc Augustyn +2 more
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Performance Comparison of Machine Learning Disruption Predictors at JET
Applied Sciences, 2023 Reliable disruption prediction (DP) and disruption mitigation systems are considered unavoidable during international thermonuclear experimental reactor (ITER) operations and in the view of the next fusion reactors such as the DEMOnstration Power Plant ...
Enrico Aymerich +8 more
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Prediction of the endocrine disruption profile of pesticides [PDF]
SAR and QSAR in Environmental Research, 2015 Numerous manmade chemicals released into the environment can interfere with normal, hormonally regulated biological processes to adversely affect the development and reproductive functions of living species. Various in vivo and in vitro tests have been designed for detecting endocrine disruptors, but the number of chemicals to test is so high that to ...
J, Devillers, E, Bro, F, Millot
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TMS Over V5 Disrupts Motion Prediction [PDF]
Cerebral Cortex, 2013 Given the vast amount of sensory information the brain has to deal with, predicting some of this information based on the current context is a resource-efficient strategy. The framework of predictive coding states that higher-level brain areas generate a predictive model to be communicated via feedback connections to early sensory areas.
Vetter, Petra +2 more
openaire +5 more sources
Nuclear Fusion, 2023 Plasma disruption is a very dangerous event for future tokamaks and fusion reactors. Therefore, predicting disruption is crucial for ensuring the safety and performance of reactors.
B.H. Guo +10 more
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Predicting Resilience of Interdependent Urban Infrastructure Systems
IEEE Access, 2022 Climate change is increasing the frequency and the intensity of weather events, leading to large-scale disruptions to critical infrastructure systems. The high level of interdependence among these systems further aggravates the extent of disruptions.
Beatrice Cassottana +5 more
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