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This paper presents a soft computing robust solution for the food industry field with the aim of analysing the olfactory properties of Spanish dry-cured ham�...
Abstract. This paper presents a soft computing robust solution for the food indus- try field with the aim of analysing the olfactory properties of Spanish�...
A Bio-inspired Ensemble Model for Food Industry Applications ; ISSN � 1867-5662 ; ISBN � 978-3-642-13160-8 ; Year of publication � 2010 ; Volume � 73 ; Pages � 209-211.
A Bio-inspired Ensemble Model for Food Industry Applications ; ISSN � 1867-5662 ; ISBN � 978-3-642-13160-8 ; A�o de publicaci�n � 2010 ; Volumen � 73 ; P�ginas � 209-211.
A Bio-inspired Ensemble Model for Food Industry Applications ; ISSN � 1860-0794, ; ISBN � 9783642131608 ; A�o de publicaci�n � 2010 ; Volumen � 73 AISC ; P�ginas � 209-�...
Considering biological problems, especially corn yield prediction, ensemble models help the decision makers with insightful and accurate predictions and assist�...
This study evaluated the performance of four bio-inspired algorithm optimized kernel-based nonlinear extension of Arps decline (KNEA) models.
This paper proposes a novel deep learning model for multiclass severity classification called Bug Severity classification to address these challenges by using a�...
Mar 13, 2022 � A Voting-Based Ensemble Deep Learning Method Focused on Multi-Step Prediction of Food Safety Risk Levels: Applications in Hazard Analysis of�...
Secondly, Bio-Inspired Ensemble Feature Selection (BIEFS) algorithm is introduced which uses three feature selection methods such as Adaptive Mutation�...