Results 301 to 310 of about 3,880,536 (344)

Continuous Convolutional Neural Networks for Disruption Prediction in Nuclear Fusion Plasmas

arXiv.org, 2023
Grid decarbonization for climate change requires dispatchable carbon-free energy like nuclear fusion. The tokamak concept offers a promising path for fusion, but one of the foremost challenges in implementation is the occurrence of energetic plasma ...
William Arnold, L. Spangher, Christina Rea   +2 more
semanticscholar   +1 more source

Disruption prediction on EAST tokamak using a deep learning algorithm

Plasma Physics and Controlled Fusion, 2021
In this study, a long short-term memory (LSTM) model is trained on a large disruption warning database to predict the disruption on EAST tokomak. To compare the performance of the proposed model with the previously reported full convolutional neural ...
B. Guo, Dalong Chen, Biao Shen, C. Rea, R. Granetz, L. Zeng, Wenhui Hu, J. Qian, Youwen Sun, Bing-biao Xiao   +9 more
semanticscholar   +1 more source

Predictability and Disruption of Spontaneous Speech

Language and Speech, 1966
Three experiments were conducted to test the general hypothesis that disrupted spontaneous speech is less predictable than fluent speech. Predictability was estimated by means of the Cloze procedure and disruption by Mahl's non- ah speech disturbance ratio. The hypothesis was not confirmed.
S, Feldstein, C, Rogalski, J, Jaffe
openaire   +2 more sources

Disruption prediction and model analysis using LightGBM on J-TEXT and HL-2A

Plasma Physics and Controlled Fusion, 2021
Using machine learning (ML) techniques to develop disruption predictors is an effective way to avoid or mitigate the disruption in a large-scale tokamak.
Y. Zhong, W. Zheng, Z. Y. Chen, F. Xia, L. Yu, Q. Wu, X. Ai, C. Shen, Z. Yang, W. Yan, Y. Ding, Y. Liang, Z. P. Chen, R. Tong, W. Bai, J. Fang, F. Li, J-Text Team   +17 more
semanticscholar   +1 more source

PHAD: a phase-oriented disruption prediction strategy for avoidance, prevention, and mitigation in JET

Nuclear Fusion, 2021
The ideal operational scenario for the future tokamak reactor is disruption-free operation. However, so far all the experimental evidence indicates that disruptions are unavoidable and can occur with alarming frequency when approaching reactor conditions
G. Rattá, J. Vega, A. Murari, D. Gadariya, J. Contributors   +4 more
semanticscholar   +1 more source

PREDICTING ANASTOMOTIC DISRUPTION AFTER EMERGENT INTESTINAL SURGERY

GLOBAL JOURNAL FOR RESEARCH ANALYSIS, 2022
Introduction Suture line disruption is an important cause of post-operative morbidity and mortality in patients who have undergone bowel surgery. Our aim was to study peri-operative factors causing anastomotic disruption in emergency surgeries and also morbidity and mortality associated with it.
Ashiq Hussain Raina, Hanief Mohammad Dar, Naseer Ahmad Awan, Ferkhand Mohi Ud Din, Irshad Ahmad Kumar, Hanief Mohammad Dar   +5 more
openaire   +1 more source

Demystifying Disruption: A New Model for Understanding and Predicting Disruptive Technologies

Marketing Science, 2010
The failure of firms in the face of technological change has been a topic of intense research and debate, spawning the theory (among others) of disruptive technologies. However, the theory suffers from circular definitions, inadequate empirical evidence, and lack of a predictive model. We develop a new schema to address these limitations.
Ashish Sood, Gerard J. Tellis
openaire   +1 more source

Disruption of embryonic vascular development in predictive toxicology

Birth Defects Research Part C: Embryo Today: Reviews, 2011
AbstractToxicity testing in the 21st century is moving toward using high‐throughput screening assays to rapidly test thousands of chemicals against hundreds of molecular targets and biological pathways, and to provide mechanistic information on chemical effects in human cells and small model organisms.
Thomas B, Knudsen, Nicole C, Kleinstreuer   +1 more
openaire   +2 more sources

Predicting Anastomotic Disruption after Emergent Small Bowel Surgery

Digestive Surgery, 2006
<i>Background/Aims:</i> Small bowel anastomoses performed in the emergent setting have a high risk of leakage. Attention to technical detail is imperative but does not guarantee success in these situations. We sought out factors that could play a role in the process of anastomotic dehiscence under these conditions.
Amit, Nair, Dinker R, Pai, S, Jagdish
openaire   +2 more sources

Disruption prediction with adaptive neural networks for ASDEX Upgrade

Fusion Engineering and Design, 2011
Abstract In this paper, an adaptive neural system has been built to predict the risk of disruption at ASDEX Upgrade. The system contains a Self Organizing Map, which determines the ‘novelty’ of the input of a Multi Layer Perceptron predictor module. The answer of the MLP predictor will be inhibited whenever a novel sample is detected. Furthermore, it
CANNAS, BARBARA, FANNI, ALESSANDRA, Pautasso G, SIAS, GIULIANA, the ASDEX Upgrade Team   +4 more
openaire   +3 more sources