Results 191 to 200 of about 66,452 (307)
FLOWR: flow matching for structure-aware de novo, interaction- and fragment-based ligand generation. [PDF]
Cremer J +5 more
europepmc +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Causally Informative Entropic Inequalities within Families of Distributions with Shared Marginals. [PDF]
Chicharro D.
europepmc +1 more source
This work proposes MDSC, an unsupervised low‐light enhancement framework integrating three core innovations: detail‐aware smoothing, multipath decomposition, and synergistic correction. It suppresses noise, handles rapid illumination variations, and prevents reflectance‐contrast amplification inherent to Retinex separation.
Yong Cheng +6 more
wiley +1 more source
WeatherMAR: Complementary Masking of Paired Tokens for Adverse-Weather Image Restoration. [PDF]
Ma J, Lv Q, Tan Z.
europepmc +1 more source
A flexible smart glove integrated with textile sensors enables real‐time hand gesture recognition for human–machine interaction. Using edge AI inference and Bluetooth communication, the system translates finger movements into human interface device commands to control endpoint devices efficiently.
Chi Cuong Vu +2 more
wiley +1 more source
A conditional full frontier approach for investigating the Averch-Johnson effect
This paper applies a probabilistic approach in order to develop conditional and unconditional Data Envelopment Analysis (DEA) models for the measurement of sectors’ input oriented technical and scale efficiency levels for a sample of 23 Greek ...
Halkos, George, Tzeremes, Nickolaos
core
A causal inference framework for poststratification: a method for improving external validity in epidemiological studies. [PDF]
Oh YW, Lee D, Cho J, Kim C, Kim KN.
europepmc +1 more source
Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee +3 more
wiley +1 more source
Conditionals: Inference and Relevance
Eduardo Rincón Alfonso +1 more
openaire +1 more source

