Evaluating accuracy of Hessian-based predictor-corrector integrators
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Central South University"
DOI: 10.1007/s11771-017-3576-8
Abstract: Direct dynamics simulations are a useful and general approach for studying the atomistic properties of complex chemical systems because they do not require fitting an analytic potential energy function. Hessian-based predictor-corrector integrators are a widely… read more here.
Keywords: predictor corrector; hessian based; corrector integrators; based predictor ... See more keywords
New CNN-Based Predictor for Reversible Data Hiding
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DOI: 10.1109/lsp.2022.3231193
Abstract: In this letter, we propose a convolutional neural network (CNN) based predictor for reversible data hiding (RDH). Firstly, a new image division strategy is presented, which can divide the cover image into four independent parts.… read more here.
Keywords: based predictor; prediction; predictor reversible; cnn based ... See more keywords
iBLP: An XGBoost-Based Predictor for Identifying Bioluminescent Proteins
Sign Up to like & getrecommendations! Published in 2021 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2021/6664362
Abstract: Bioluminescent proteins (BLPs) are a class of proteins that widely distributed in many living organisms with various mechanisms of light emission including bioluminescence and chemiluminescence from luminous organisms. Bioluminescence has been commonly used in various… read more here.
Keywords: xgboost based; iblp xgboost; bioluminescent proteins; predictor ... See more keywords