Hybrid electronic tongue based on multisensor data fusion for discrimination of beers
This paper reports the use of a hybrid electronic tongue based on data fusion of two different
sensor families, applied in the recognition of beer types. Six modified graphite-epoxy …
sensor families, applied in the recognition of beer types. Six modified graphite-epoxy …
Convolutional neural network on three orthogonal planes for dynamic texture classification
V Andrearczyk, PF Whelan - Pattern Recognition, 2018 - Elsevier
Abstract Dynamic Textures (DTs) are sequences of images of moving scenes that exhibit
certain stationarity properties in time such as smoke, vegetation and fire. The analysis of DT …
certain stationarity properties in time such as smoke, vegetation and fire. The analysis of DT …
Batch-to-batch optimal control of a batch polymerisation process based on stacked neural network models
J Zhang - Chemical Engineering Science, 2008 - Elsevier
A neural network based batch-to-batch optimal control strategy is proposed in this paper. In
order to overcome the difficulty in develo** mechanistic models for batch processes …
order to overcome the difficulty in develo** mechanistic models for batch processes …
A new Correlation-Similarity Conjoint Algorithm for develo** Encoder-Decoder based deep learning multi-step prediction model of chemical process
Y Li, H Cao, X Wang, Z Yang, N Li, W Shen - Chemical Engineering …, 2024 - Elsevier
As an important procedure for the multi-step modeling of chemical process, the feature
selection approach for unequal-length process variable series is frequently studied based …
selection approach for unequal-length process variable series is frequently studied based …
LBVCNN: Local binary volume convolutional neural network for facial expression recognition from image sequences
Recognizing facial expressions is one of the central problems in computer vision. Temporal
image sequences have useful spatio-temporal features for recognizing expressions. In this …
image sequences have useful spatio-temporal features for recognizing expressions. In this …
Modelling of a post-combustion CO2 capture process using neural networks
This paper presents a study of modelling post-combustion CO 2 capture process using
bootstrap aggregated neural networks. The neural network models predict CO 2 capture rate …
bootstrap aggregated neural networks. The neural network models predict CO 2 capture rate …
Multiple neural networks modeling techniques in process control: a review
This paper reviews new techniques to improve neural network model robustness for
nonlinear process modeling and control. The focus is on multiple neural networks. Single …
nonlinear process modeling and control. The focus is on multiple neural networks. Single …
Genetic algorithms based optimization of artificial neural network architecture for buildings' indoor discomfort and energy consumption prediction
F Boithias, M El Mankibi, P Michel - Building Simulation, 2012 - Springer
Growing concerns about energy consumption reduction and comfort improvement inside
buildings make it more and more necessary to be able to predict with fine precision …
buildings make it more and more necessary to be able to predict with fine precision …
A reliable multi-objective control strategy for batch processes based on bootstrap aggregated neural network models
A Mukherjee, J Zhang - Journal of Process Control, 2008 - Elsevier
This paper presents a reliable multi-objective optimal control method for batch processes
based on bootstrap aggregated neural networks. In order to overcome the difficulty in …
based on bootstrap aggregated neural networks. In order to overcome the difficulty in …