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Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series
(IEEE Computer Society, 2015-11)
Discovering gene regulatory networks from data is one of the most studied topics in recent years. Neural networks can be successfully used to infer an underlying gene network by modeling expression profiles as times series. ...
Plantar pressure image classification employing residual-network model-based conditional generative adversarial networks: a comparison of normal, planus, and talipes equinovarus feet
The number of deep learning (DL) layers increases, and following the performance of computing nodes improvement, the output accuracy of deep neural networks (DNN) faces a bottleneck problem. The resident network (RN) based ...
Analytically solvable model of probabilistic network dynamics
(American Physical SocCollege PkEUA, 2005)
An Efficient Bet-GCN Approach for Link Prediction
The task of determining whether or not a link will exist between two entities, given the current position of the network, is called link prediction. The study of predicting and analyzing links between entities in a network ...
Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens
(Poultry Science Assoc Inc, 2011-03-01)
Neural networks are capable of modeling any complex function and can be used in the poultry and animal production areas. The aim of this study was to investigate the possibility of using neural networks on an egg production ...
Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens
(Poultry Science Assoc Inc, 2011-03-01)
Neural networks are capable of modeling any complex function and can be used in the poultry and animal production areas. The aim of this study was to investigate the possibility of using neural networks on an egg production ...
Prediction of water chemical properties in the cycle of a coal power plant using artificial neural networks
(IEEE, 1998)
Describes a systematic methodology based on artificial neural networks for model identification and its application to the prediction of water chemical properties under normal operation conditions in a power plant. The ...
Static and dynamic convex distribution network expansion planning
(Springer Verlag, 2018)
This chapter presents static and dynamic optimization-based models for planning the electric distribution network. Based on a branch flow model, two Mixed-Integer Conic Quadratic Programming (MICQP) convex formulations are ...
VHDL modeling for encapsulating of DNP3 protocol in IEEE 802.15.4 Network
(2014-11-10)
This paper describes the VHDL modeling of Smart Meters communication based on DNP3 protocol point-to-point Network using IEEE 802.15.4 interface. The modeling was validated with the simulation of three scenarios which show ...