Results 131 to 140 of about 73,525 (314)

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Improved State-space Modelling for Microgrids Without Virtual Resistances

Journal of Modern Power Systems and Clean Energy
Power converters and their interfacing networks are often treated as modular state-space blocks for small-signal stability studies in microgrids; they are interconnected by matching the input and output states of the network and converters.
Paranagamage S. A. Peiris, Shaahin Filizadeh, Dharshana Muthumuni   +2 more
doaj   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Anisotropic NMR as a Crucial Tool for Differentiation of Epimers With High Conformational Flexibility

Angewandte Chemie, EarlyView.
Epimer discrimination remains challenging due to subtle NMR differences. Here, we propose a methodology based on 13C‐RCSA and RDC anisotropic parameters, enabling the assignment of two flexible tetraprenyltoluquinol epimers (1a and 1b) with remote stereoclusters.
Juan Carlos C. Fuentes‐Monteverde, Abel M. Forero, Nilamoni Nath, Antonio Hernández Daranas, Carlos Jiménez, Jaime Rodríguez, Christian Griesinger   +6 more
wiley   +2 more sources

Stability Analysis of LCC-HVDC with PV Station at the Receiving End

Zhongguo dianli
A new type of receiving-end power system with high proportion of new energy and HVDC has been formed in Hubei. In the scenario where the PV station is located near the HVDC receiving-end converter station, the sub-synchronous oscillation characteristics ...
Yuqing ZHOU, Dahu LI, Wei YAO, Qihang ZONG, Hongyu ZHOU, Jinyu WEN   +5 more
doaj   +1 more source

On numerical issues for the wave/finite element method

, 2006
The waveguide finite element (WFE) method is a numerical method to investigate wave motion in a uniform waveguide. Numerical issues for the WFE method are specifically illustrated in this report.
Waki, Y., Brennan, M.J., Mace, B.R.
core  

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Adaptive hybrid synchronization control of grid-connected converters in renewable power plants and its small-signal stability analysis

Zhejiang dianli
As the capacity of renewable power plants connected to the grid increases year by year， optimizing the control strategies for their converters becomes crucial for enhancing system stability.
GONG Kai, XIAO Huangqing, ZHANG Zhan, HE Hongliang, HUANG Ying, LI Yan   +5 more
doaj   +1 more source

COVID-19 interventions in some European countries induced bifurcations stabilizing low death states against high death states: An eigenvalue analysis based on the order parameter concept of synergetics. [PDF]

Chaos Solitons Fractals, 2020
Frank TD.
europepmc   +1 more source

Mixed finite elements for the Gross-Pitaevskii eigenvalue problem: a priori error analysis and guaranteed lower energy bound

We establish an a priori error analysis for the lowest-order Raviart-Thomas finite element discretization of the nonlinear Gross-Pitaevskii eigenvalue problem.
Hauck, Moritz,, Gallistl, Dietmar, Peterseim, Daniel, Peterseim, Daniel,, Hauck, Moritz, Gallistl, Dietmar,, Liang, Yizhou, Liang, Yizhou,   +7 more
core   +1 more source