Results 51 to 60 of about 17,658,888 (246)
Fault Prediction and Classification in Power Distribution Transformer Using Machine Learning
Sukkur IBA Journal of Emerging TechnologiesThis article used Random forest (RF) classifier, decision tree (DT) classifier, K-nearest neighbors (KNN) classifiers, extra tree (ET) classifier and extreme gradient boosting (XGB) classifier for fault prediction and classification in power ...
Zawar Ahmed Khan +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess +5 more
wiley +1 more source
Amplitude suppression of nongaussian sea clutter in a noncoherent bandpass path of the receiver
Известия высших учебных заведений России: Радиоэлектроника, 2016 The method of non-linear amplitude suppression of radar clutter from a sea surface in a noncoherent band path of the receiver is considered. The model of the most adequate nongaussian a radar clutter from the rough sea surface which envelope is based on ...
E. A. Milashchenko, A. A. Yazovsky
doaj
Crop and EnvironmentThe earliest occurrence of chlorosis at the tips of the oldest leaves is widely recognized as a reliable indicator for diagnosing potassium (K) deficiency and determining the need for K fertilizer.
Hehe Gu, Zhifeng Lu, Tao Ren, Jianwei Lu
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Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham +7 more
wiley +1 more source
k-means clustering: Cluster distribution for k = 100.
, 2016 k-means clustering: Cluster distribution for k = 100.
Hashem Tamimi (3359189) +2 more
core +1 more source
Generalized distribution Sechk
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 Model of generalized law of distribution of Sechk and its researched application in statistical radio engineering. Base attributes and statisticians of distribution are given.
A. V. Ausiannikau
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Graft‐versus‐host disease (GvHD) remains one of the most significant complications of hematopoietic stem cell transplantation (HSCT). Abatacept, a selective T‐cell costimulation modulator, is a relatively novel prophylactic agent, though pediatric data remain limited.
Matthijs D. Kruizinga +3 more
wiley +1 more source
An Improved K-means Method with Density Distribution Analysis
MATEC Web of Conferences, 2018 In this paper, a novel K-means clustering algorithm is proposed. Before running the traditional Kmeans, the cluster centers should be randomly selected, which would influence the time cost and accuracy.
Xue Huiwen, Li Haochen, Wang Yanfei
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Mellin Transform-Based Approach for Parameter Estimation of K Distribution Plus Noise
IEEE Access, 2019 Mellin transform is a fast and robust method for parameter estimation. In this paper, the parameter estimator of K plus noise (KpN) model based on the Mellin transform is proposed.
Kuihua Huang, Chao Chen, Gui Gao
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