Results 191 to 200 of about 28,026 (247)

Soft Robotic Sim2Real via Conditional Flow Matching

open access: yesAdvanced Intelligent Systems, EarlyView.
A new framework based on conditional flow matching addresses the persistent Sim2Real gap in soft robotics. By learning a conditional probability path, the model directly transforms inaccurate simulation data to match physical reality, successfully capturing complex phenomena like hysteresis.
Ge Shi   +6 more
wiley   +1 more source

Correction: Histological analysis of the medial gastrocnemius muscle in young healthy children. [PDF]

open access: yesFront Physiol
Andries A   +16 more
europepmc   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

open access: yesAdvanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova   +3 more
wiley   +1 more source

Improving Cardiovascular Quality Through Real-Time Data and Provider Engagement. [PDF]

open access: yesJACC Case Rep
Demmin SE   +4 more
europepmc   +1 more source

Hybrid Convolutional Neural Network‐Analytical Model for Prediction of Line Edge Roughness‐Induced Performance Variations in Fin‐Shaped Field‐Effect Transistor Devices and SRAM

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a hybrid model for predicting the electrical characteristics of fin‐shaped field‐effect transistor devices and SRAM with line edge roughness. The model consists of a convolutional neural network (CNN) and an analytical model that simulates the electrical characteristics of transistors using the outputs of CNN, enabling fast and ...
Jaehyuk Lim   +4 more
wiley   +1 more source

O cotidiano de mães com crianças portadoras de paralisia cerebral

open access: diamond, 2008
Naiana Gonçalves de Bittencourt Vieira   +3 more
openalex   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu   +6 more
wiley   +1 more source

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