Results 251 to 260 of about 175,748 (328)

Advanced multiscale machine learning for nerve conduction velocity analysis. [PDF]

Sci Rep
Sadeghi H.
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

On an explicit representation of the solution of linear stochastic partial differential equations with delays

, 2011
Mathieu Galtier, Jonathan Touboul
openalex   +2 more sources

Uncontrolled Learning: Codesign of Neuromorphic Hardware Topology for Neuromorphic Algorithms

Advanced Intelligent Systems, EarlyView.
Codesign is used to implement a neuroscience‐inspired machine learning algorithm in all neuromorphic hardware. In this implementation, the hidden memristors cannot be directly accessed, limiting control of the network during training. By leveraging theoretical tools, including memristor circuits dynamics and a closed form expression for the network ...
Frank Barrows, Jonathan Lin, Francesco Caravelli, Dante R. Chialvo   +3 more
wiley   +1 more source

UltRAP‐Net: Reverse Approximation of Tissue Properties in Ultrasound Imaging

Advanced Intelligent Systems, EarlyView.
This study proposes a reverse approximation neural network (UltRAP‐Net) to extract underlying physics‐aware properties using multiple images with distinct appearances obtained at the same location of tissues. Through this robust approximation, the study advances the use of ultrasound images by opening potentials for various applications such as physics‐
Yingqi Li, Ka‐Wai Kwok, Magdalena Wysocki, Nassir Navab, Zhongliang Jiang   +4 more
wiley   +1 more source

Stochastic H_∞ Filtering of the Attitude Quaternion. [PDF]

Sensors (Basel)
Choukroun D, Cooper L, Berman N.
europepmc   +1 more source

Large deviations for stochastic partial differential equations driven by a Poisson random measure

, 2012
Amarjit Budhiraja, Chen Jiang, Paul Dupuis   +2 more
openalex   +1 more source

Model‐Free Deep Reinforcement Learning with Multiple Line‐of‐Sight Guidance Laws for Autonomous Underwater Vehicles Full‐Attitude and Velocity Control

Advanced Intelligent Systems, EarlyView.
In this study, a deep reinforcement learning framework with multi‐line‐of‐sight guidance is proposed. An augmented‐twin delayed deep deterministic policy gradient algorithm adapts to attitude changes efficiently, reducing computational costs. Simulations show 30.8% faster training and mitigates rudder/exergy issues, validated by an X‐rudder autonomous ...
Chengren Yuan, Changgeng Shuai, Zhanshuo Zhang, Jianguo Ma, Yuan Fang, YuChen Sun   +5 more
wiley   +1 more source

An integrative phenotype-structured partial differential equation model for the population dynamics of epithelial-mesenchymal transition. [PDF]

NPJ Syst Biol Appl
Guilberteau J, Jain P, Jolly MK, Pouchol C, Pouradier Duteil N.   +4 more
europepmc   +1 more source

Average and deviation for slow–fast stochastic partial differential equations

, 2012
W. Wang, A. J. Roberts
openalex   +1 more source