Results 181 to 190 of about 14,221 (268)
Verification of historical sketches via one-class learning on compact feature representations. [PDF]
Ugail H +3 more
europepmc +1 more source
Abstract Background The accurate assessment of infraosseous periodontal defects is crucial for effective diagnosis and treatment planning. Cone‐beam computed tomography (CBCT) enables detailed imaging of these defects; however, to leverage their full potential, CBCT images must be reconstructed in 3 dimensions (3D).
Daniel Palkovics +8 more
wiley +1 more source
Learning Latent Representations to Bridge Coarse-Grained and Atomistic Resolutions in Polymer Simulations. [PDF]
Desai S +5 more
europepmc +1 more source
ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley +1 more source
GAN-based bone suppression using a combined loss function. [PDF]
Jochymek L +3 more
europepmc +1 more source
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo +11 more
wiley +1 more source
Steering generative models for protein design: Aligning and conditioning strategies.
Stocco F, Garibbo M, Ferruz N.
europepmc +1 more source
Representation learning of single-cell RNA-seq data. [PDF]
Ahlmann-Eltze C +4 more
europepmc +1 more source
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
wiley +1 more source
Unsupervised industrial image defect detection based on autoencoder and GANs. [PDF]
An S, Wu J, Li J.
europepmc +1 more source

