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MLSeq: Machine learning interface for RNA-sequencing data
(Elsevier Ireland Ltd, 2019)
Background and Objective: In the last decade, RNA-sequencing technology has become method-of-choice and prefered to microarray technology for gene expression based classification and differential expression analysis since ...
Design process model for flexible manufacturing systems and application of TAI
(2011)
In this paper, a systematic design process model is proposed to model Flexible Manufacturing Systems (FMS). Generally, FMS systems design is complicated and cost very high as installation phase. Therefore, technical analysis ...
Variability modelling and balancing of stochastic assembly lines
(Taylor and Francis Ltd., 2016)
In a production flow line with stochastic environment, variability affects the system performance. These stochastic nature of real-world processes have been classified in three types: arrival, service and departure process ...
A data-driven approach based on deep neural networks for lithium-ion battery prognostics
(Springer London Ltd, 2021)
Remaining useful life estimation is gaining attention in many real-world applications to alleviate maintenance expenses and increase system reliability and efficiency. Deep learning approaches have recently provided a ...
Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm
(Pergamon-Elsevier Science Ltd, 2021)
Influenza epidemic is a serious public health problem that has attracted worldwide attention due to cause cases of severe illness, an enormous economic burden, and even deaths worldwide each year. Forecasting influenza ...