Results 11 to 20 of about 6,555,116 (242)

Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method

NeuroImage, 2021
Resting-state functional connectivity (RSFC) can be used for mapping large-scale human brain networks during rest. There is considerable interest in distinguishing the individual-shared and individual-specific components in RSFC for the better ...
Xuetong Wang, Qiongling Li, Yan Zhao, Yirong He, Baoqiang Ma, Zhenrong Fu, Shuyu Li   +6 more
doaj   +1 more source

Machine learning model for malaria risk prediction based on mutation location of large-scale genetic variation data

Journal of Big Data, 2022
In recent malaria research, the complexity of the disease has been explored using machine learning models via blood smear images, environmental, and even RNA-Seq data. However, a machine learning model based on genetic variation data is still required to
Kah Yee Tai, Jasbir Dhaliwal
doaj   +1 more source

Machine Learning for Predicting Individual Severity of Blepharospasm Using Diffusion Tensor Imaging

Frontiers in Neuroscience, 2021
Accumulating diffusion tensor imaging (DTI) evidence suggests that white matter abnormalities evaluated by local diffusion homogeneity (LDH) or fractional anisotropy (FA) occur in patients with blepharospasm (BSP), both of which are significantly ...
Gang Liu, Gang Liu, Yanan Gao, Yanan Gao, Ying Liu, Ying Liu, Yaomin Guo, Yaomin Guo, Zhicong Yan, Zhicong Yan, Zilin Ou, Zilin Ou, Linchang Zhong, Chuanmiao Xie, Jinsheng Zeng, Jinsheng Zeng, Weixi Zhang, Weixi Zhang, Kangqiang Peng, Qingwen Lv   +19 more
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Influence of Individual Differences in fMRI-Based Pain Prediction Models on Between-Individual Prediction Performance

Frontiers in Neuroscience, 2018
Decoding subjective pain perception from functional magnetic resonance imaging (fMRI) data using machine learning technique is gaining a growing interest. Despite the well-documented individual differences in pain experience and brain responses, it still
Qianqian Lin, Qianqian Lin, Linling Li, Linling Li, Jia Liu, Jia Liu, Weixiang Liu, Weixiang Liu, Gan Huang, Gan Huang, Zhiguo Zhang, Zhiguo Zhang   +11 more
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Reconstructing lost BOLD signal in individual participants using deep machine learning

Nature Communications, 2020
Signal loss in blood oxygen level‐dependent (BOLD) fMRI can lead to misinterpretation of findings. The authors trained a deep learning model to reconstruct compromised BOLD signal in datasets from healthy participants and in patients whose scans suffered
Yuxiang Yan, Louisa Dahmani, Jianxun Ren, Lunhao Shen, Xiaolong Peng, Ruiqi Wang, Changgeng He, Changqing Jiang, Chen Gong, Ye Tian, Jianguo Zhang, Yi Guo, Yuanxiang Lin, Shijun Li, Meiyun Wang, Luming Li, Bo Hong, Hesheng Liu   +17 more
doaj   +1 more source

Sidney Machine Tool Company photograph collage

A collage of photographs of men using equipment at the Sidney Machine Tool Company. Sidney Tool Company was founded in 1905 by Alfred C. Getz in Sidney, Ohio. Getz was also acting plant manager for Monarch Machine Tool, also in Sidney, during the same
Sidney Machine Tool Company
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Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning

Nature Communications, 2023
Epigenetic modifications are dynamic mechanisms involved in the regulation of gene expression. Unlike the DNA sequence, epigenetic patterns vary not only between individuals, but also between different cell types within an individual.
Alex Hawkins-Hooker, Giovanni Visonà, Tanmayee Narendra, Mateo Rojas-Carulla, Bernhard Schölkopf, Gabriele Schweikert   +5 more
doaj   +1 more source

Étude comparative de différents correcteurs pour la commande optimale avec défauts d’une machine pentaphasée [PDF]

, 2012
La version éditeur de cet article est accessible à l'adresse suivante : doi:10.3166/ejee.15.377-400The use of multiphase PM synchronous machines associated with VSI drives appears to be a very efficient solution when a high level of reliability ...
CHARPENTIER, Jean-Frederic, KESTELYN, Xavier, MEKRI, Fatiha, SEMAIL, Eric   +3 more
core   +1 more source

Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine [PDF]

, 2012
Machine performance degradation assessment and remaining useful life (RUL) prediction are of crucial importance in condition-based maintenance to reduce the maintenance cost and improve the reliability.
Yang, Bo-Suk, Tran, Van Tung, Pham, Hong Thom, Nguyen, Tan Tien   +3 more
core   +1 more source

Learning labelled dependencies in machine translation evaluation [PDF]

, 2009
Recently novel MT evaluation metrics have been presented which go beyond pure string matching, and which correlate better than other existing metrics with human judgements.
He, Yifan, Way, Andy
core   +2 more sources