Dynamics-Based Peptide-MHC Binding Optimization by a Convolutional Variational Autoencoder: A Use-Case Model for CASTELO.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.1c00870
Abstract: An unsolved challenge in the development of antigen-specific immunotherapies is determining the optimal antigens to target. Comprehension of antigen-major histocompatibility complex (MHC) binding is paramount toward achieving this goal. Here, we apply CASTELO, a combined… read more here.
Keywords: variational autoencoder; optimization; convolutional variational; mhc binding ... See more keywords
Designing Multi-Task Convolutional Variational Autoencoder for Radio Tomographic Imaging
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3081997
Abstract: Radio tomographic imaging (RTI) emerges to model the environment and detect the passive targets by a wireless network. In this work, the received signal strength (RSS) measurements are collected from an uncalibrated network, and a… read more here.
Keywords: task convolutional; radio tomographic; task; tomographic imaging ... See more keywords
RUL Prediction Using a Fusion of Attention-Based Convolutional Variational AutoEncoder and Ensemble Learning Classifier
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2022.3190639
Abstract: Predicting the remaining useful life (RUL) is a critical step before the decision-making process and developing maintenance strategies. As a result, it is frequently impacted by uncertainty in a practical context and may cause issues.… read more here.
Keywords: rul prediction; prediction using; variational autoencoder; attention ... See more keywords