id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_cfxf43jr2zgf3jrpnztzb4jqb4	Alfredo Jimenez	Soft computing applications in the field of industrial and environmental enterprises	2019	4	.pdf	application/pdf	2466	166	49	This special issue compiles recent applications of soft computing techniques to the management of enterprise within industrial and environmental sectors. In the paper by Jove, Casteleiro‐Roca, Quintián, Méndez‐Pérez, and Calvo‐Rolle (2019), a novel approach for fault detection in industrial processes, by means of unsupervised and projectionist techniques, is proposed. Torres, Troncoso, Koprinska, Wang, and Martínez‐Álvarez (2019) propose a Deep Learning approach, based on feed‐forward neural networks for big data time series, for predicting the electricity power generated by photovoltaic solar systems for the next day (at half‐hourly Consequently, the feature space is learned by a DenseNet network that consists of several dense blocks and transition layers, in order to obtain a good representation from the social lending data of many borrowers. Torre‐Tojal, Lopez‐Guede, and Graña Romay (2019) propose the application of machine‐learning‐based predictive systems for the extraction of biomass information from Light Detection and Ranging (LiDAR) data.	./cache/work_cfxf43jr2zgf3jrpnztzb4jqb4.pdf	./txt/work_cfxf43jr2zgf3jrpnztzb4jqb4.txt