A molecular generative model of ADAM10 inhibitors by using GRU-based deep neural network and transfer learning
Sign Up to like & getrecommendations! Published in 2020 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2020.104122
Abstract: Abstract Recurrent neural network (RNN) is one of the most representative architectures in deep learning and widely adopted in many research fields especially in natural language processing. In this work, a gated-recurrent-unit (GRU)-based deep neural… read more here.
Keywords: gru based; neural network; generative model; adam10 inhibitors ... See more keywords
SSAE and GRU Based Joint Modeling for Nonlinear Distributed Parameter Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206950
Abstract: The modeling and control issues for distributed parameter systems (DPSs) have received a great deal of attention. Because linear model order reduction (MOR) methods may ignore the nonlinear dynamics and lose some details, it is… read more here.
Keywords: gru based; distributed parameter; ssae gru; parameter systems ... See more keywords
A GRU-based approach for botnet detection using deep learning technique
Sign Up to like & getrecommendations! Published in 2025 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v38.i2.pp1098-1105
Abstract: The increasing volume of network traffic data exchanged among interconnected devices on the internet of things (IoT) poses a significant challenge for conventional intrusion detection systems (IDS), especially in the face of evolving and unpredictable… read more here.
Keywords: detection; botnet; gru based; intrusion detection ... See more keywords
TCN-GRU Based on Attention Mechanism for Solar Irradiance Prediction
Sign Up to like & getrecommendations! Published in 2024 at "Energies"
DOI: 10.3390/en17225767
Abstract: The global horizontal irradiance (GHI) is the most important metric for evaluating solar resources. The accurate prediction of GHI is of great significance for effectively assessing solar energy resources and selecting photovoltaic power stations. Considering… read more here.
Keywords: irradiance; tcn gru; gru based; prediction ... See more keywords
De Novo Molecular Design of Caspase-6 Inhibitors by a GRU-Based Recurrent Neural Network Combined with a Transfer Learning Approach
Sign Up to like & getrecommendations! Published in 2021 at "Pharmaceuticals"
DOI: 10.3390/ph14121249
Abstract: Due to their potential in the treatment of neurodegenerative diseases, caspase-6 inhibitors have attracted widespread attention. However, the existing caspase-6 inhibitors showed more or less inevitable deficiencies that restrict their clinical development and applications. Therefore,… read more here.
Keywords: caspase inhibitors; caspase; recurrent neural; gru based ... See more keywords