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Applied machine learning in greenhouse simulation; New application and analysis
Year: 2018
Abstract:
Prediction the inside environment variables in greenhouses is very important because they play a vital role in greenhouse cultivation and energy lost especially in cold and hot regions. The greenhouse environment is an ...
Nonlinear Identification of IPMC Actuators Based on ANFIS-NARX Paradigm
Year: 2014
Abstract:
vibration damping, IPMC is different compared to the other smart materials especially in biological applications. This paper presents an accurate dynamic nonlinear black-box model to predict the mechanical displacement features of IPMC actuators. This model...
HRTF magnitude synthesis via sparse representation of anthropometric features
Publisher: IEEE
Year: 2014
Cable length minimisation in long-reach-PON planning for sparsely populated areas
Publisher: IEEE
Year: 2014
Energy conservation by loss reduction due to distributed generation
Publisher: IEEE
Year: 2014