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For example, the International Agency for Research on Cancer (IARC 2002) classified power frequency magnetic fields as a possible human carcinogen.
On the basis of the epidemiological evidence, IARC classified power frequency magnetic fields as a possible human carcinogen (Group 2B) [ 19, 29].
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This paper presents a performance enhancement scheme for the recently developed extreme learning machine (ELM) for classifying power system disturbances using particle swarm optimization (PSO).
In this paper, wavelet packet energy entropy and weighted support vector machines are used to automatically detect and classify power quality (PQ) disturbances.
In [1], the authors use higher-order statistics-based feature extraction and regression algorithms implemented in artificial neural networks (ANNs) to classify power quality disturbances.
Power quality events generated with MATLAB software and data base is created for detection of power quality events then Volterra series method is applied for detection and extraction of features of power quality events then rule based fuzzification is done to classify power quality events as shown in Fig. 9.
Power to gas (P2G) technology can be classified into power to hydrogen and power to natural gas (methane, CH4) [26].
A novel classified piecewise power function (CPPF) method, which is used to transform NMR reverse cumulative curve as pseudo capillary pressure (Pc) curve is proposed, and the corresponding model is established based on formation classification.
MyTaxa employs all genes present in an unidentified sequence as classifiers, weighting each gene on the basis of its pre-computed classifying power at a specified taxonomic level and frequency of horizontal gene transfer [30].
In order to develop a metabolite-based molecular approach for the detection of breast cancer, we analyzed each metabolite for its classifying power.
For this reason, thermoelectric power generation is classified as direct power conversion.
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