Results 181 to 190 of about 803,101 (318)
Estimating Conditional Probability Distributions of Recovery Rates: A Utility-Based Approach [PDF]
Craig A. Friedman, Sven Sandow
openalex
Soft Robotic Sim2Real via Conditional Flow Matching
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
Multivariate Markov models for the conditional probability of toxicity in phase II trials. [PDF]
Fernandes LL, Murray S, Taylor JM.
europepmc +1 more source
Perception of second-order conditional probability in a two-choice learning situation /
Michael H. Strub
openalex +1 more source
On the construction of conditional probability densities
Pavel V. Gapeev, Monique Jeanblanc
openalex +1 more source
Korean Homograph Tagging Model based on Sub-Word Conditional Probability [PDF]
Joon Choul Shin, Cheol Young Ock
openalex +1 more source
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
Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li +15 more
wiley +1 more source
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source

