Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Effects of typhoon events on coastal hydrology, nutrients, and algal bloom dynamics: Insights from continuous observation and machine learning in semi-enclosed …
Typhoons can induce variations in hydrodynamic conditions and biogeochemical
processes, potentially escalating the risk of algal bloom occurrences impacting coastal …
processes, potentially escalating the risk of algal bloom occurrences impacting coastal …
A model-free switching and control method for three-level neutral point clamped converter using deep reinforcement learning
This paper presents a novel model-free switching and control method for three-level neutral
point clamped (NPC) converter using deep reinforcement learning (DRL). Our approach …
point clamped (NPC) converter using deep reinforcement learning (DRL). Our approach …
A deep learning-based modeling of a 270 V-to-28 V DC-DC converter used in more electric aircrafts
This article presents a novel approach for black-box modeling of 270 V-to-28 V dc–dc step-
down converters used in more electric aircrafts. These converters normally feed constant …
down converters used in more electric aircrafts. These converters normally feed constant …
Black-box large-signal average modeling of DC-DC converters using NARX-ANNs
This paper investigates the use of non-linear autoregressive exogenous (NARX) artificial
neural networks (ANNs) to achieve black-box average dynamic models of dc-dc converters …
neural networks (ANNs) to achieve black-box average dynamic models of dc-dc converters …
Modeling of a DC-DC bidirectional converter used in mild hybrid electric vehicles from measurements
This paper presents a non-intrusive approach for modeling a bidirectional DC-DC converter
used in mild hybrid electric vehicles. A black-box identification methodology is proposed to …
used in mild hybrid electric vehicles. A black-box identification methodology is proposed to …
Effinformer: A deep-learning-based data-driven modeling of DC–DC bidirectional converters
Q Shang, F **ao, Y Fan, W Kang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article presents a data-driven modeling method founded on deep learning (DL) to
precisely model and identify a dc–dc bidirectional converter that is widely used in renewable …
precisely model and identify a dc–dc bidirectional converter that is widely used in renewable …
GRU and LSTM comparison for black-box modeling of power electronic converters
Considering the vast application of Power Electronic Converters (PEC) in numerous modern
technologies, modeling their behavior is of immense importance. These components are …
technologies, modeling their behavior is of immense importance. These components are …
Modeling Methodology Based on Fast and Refined Neural Networks for Non-Isolated DC–DC Converters With Configurable Parameter Settings
H Ge, Z Huang, Z Huang - … on Emerging and Selected Topics in …, 2023 - ieeexplore.ieee.org
Compared with conventional physics-based methods, eg, analytical modeling and
numerical modeling, data-driven methods can extract input-to-output relationships from the …
numerical modeling, data-driven methods can extract input-to-output relationships from the …
Deep neural network-based black-box modeling of power electronic converters using transfer learning
Black-box modeling of power electronic converters (PECs) is an essential tool for studying
commercial converters. Neural-networks-based modeling techniques are data-driven based …
commercial converters. Neural-networks-based modeling techniques are data-driven based …
X-in-the-Loop Validation of Deep Learning-Based Virtual Sensing for Lifetime Estimation of Automotive Power Electronics Converters
Health degradation issues in automotive power electronics converter (PEC) systems are
present due to repetitive thermomechanical stress endured while the vehicle is in real-field …
present due to repetitive thermomechanical stress endured while the vehicle is in real-field …