A study on the development of an artificial neural network model for the prediction of ground subsidence over abandoned mines in Korea
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DOI: 10.1080/12269328.2016.1254573
Abstract: Abstract The subsidence over abandoned mines has led to big problems in the local areas. Hence, many attempts have been made to predict subsidence and to check the stability of an abandoned mine. This paper… read more here.
Keywords: abandoned mines; subsidence abandoned; model; development artificial ... See more keywords
Development of artificial neural network and multiple linear regression models in the prediction process of the hot mix asphalt properties
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DOI: 10.1139/cjce-2017-0300
Abstract: The oscillation of asphalt mix composition on a daily basis significantly affects the achieved properties of the asphalt during production, thus resulting in conducting expensive laboratory tests to determine existing properties and predicting the future… read more here.
Keywords: models prediction; prediction process; asphalt; development artificial ... See more keywords
Towards Cellular Activation of an Artificial Metalloenzyme: Development of an Artificial Zymogen.
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DOI: 10.2533/chimia.2017.199
Abstract: Regulation of enzymatic activity is essential for living organisms. Nowadays, with the emergence of synthetic biology, there is a rising interest in placing the activity of synthetic catalysts under the control of a cell. This… read more here.
Keywords: artificial zymogen; artificial metalloenzyme; development artificial; towards cellular ... See more keywords