An evolutionary generation method of deep neural network sets combined with Gaussian random field
Sign Up to like & getrecommendations! Published in 2021 at "Wireless Networks"
DOI: 10.1007/s11276-021-02677-0
Abstract: As a research hotspot in the field of machine learning, ensemble learning improved the prediction accuracy of the final model by constructing and combining multiple basic models. In recent years, many experts and scholars are… read more here.
Keywords: neural network; field; ensemble learning; deep networks ... See more keywords
Deep neural networks ensemble to detect COVID-19 from CT scans
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2021.108135
Abstract: Research on Coronavirus Disease 2019 (COVID-19) detection methods has increased in the last months as more accurate automated toolkits are required. Recent studies show that CT scan images contain useful information to detect the COVID-19… read more here.
Keywords: ensemble detect; deep neural; neural networks; covid ... See more keywords
A Novel Neural Networks Ensemble Approach for Modeling Electrochemical Cells
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2827307
Abstract: Accurate modeling of electrochemical cells is nowadays mandatory for achieving effective upgrades in the fields of energetic efficiency and sustainable mobility. Indeed, these models are often used for performing accurate State-of-Charge (SoC) estimations in energy… read more here.
Keywords: novel neural; modeling electrochemical; neural networks; electrochemical cells ... See more keywords