Results 271 to 280 of about 546,017 (306)

KGG: Knowledge-Guided Graph Self-Supervised Learning to Enhance Molecular Property Predictions. [PDF]

J Chem Inf Model
To VT, Van Nguyen PC, Truong GB, Phan TM, Phan TL, Fagerberg R, Stadler PF, Truong TN.   +7 more
europepmc   +1 more source

Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring

Advanced Science, EarlyView.
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley   +1 more source

A histomorphological atlas of resected mesothelioma discovered by self-supervised learning from 3446 whole-slide images. [PDF]

Nat Commun
Seyedshahi F, Rakovic K, Poulain N, Claudio Quiros A, Powley IR, Richards C, Uraiby H, Klebe S, Moore DA, Nakas A, Wilson CR, Sereno M, Officer-Jones L, Ficken C, Teodosio A, Ballantyne F, Murphy D, Yuan K, Le Quesne J.   +18 more
europepmc   +1 more source

Advancing the Tendinopathy Triad: Comment on “Tendinopathy: The Interplay Between Mechanical Stress, Inflammation, and Vascularity”

Advanced Science, EarlyView.
Abstract Building upon the integrative framework of tendinopathy proposed by Gehwolf et al.—which elegantly connects mechanical stress, inflammation, and vascularity—this commentary extends the discussion by introducing novel mechanistic insights and future research directions that move beyond the established triad. A paradigm shift is proposed ...
DuJiang Yang, Jiexiang Yang, Shuang Wang, GuoYou Wang   +3 more
wiley   +1 more source

Osteoporosis prediction from hand X-ray images using segmentation-for-classification and self-supervised learning. [PDF]

Sci Rep
Hwang U, Lee CH, Yoon K.
europepmc   +1 more source

FOCUS: A Four‐In‐One Consolidated Unison Strain Sensor with Enhanced Sensitivity

Advanced Science, EarlyView.
Through a folding transformation that stacks four printed liquid metal sensors into a unified 3D orthogonal construct, FOCUS harnesses complementary bidirectional resistance responses within a Wheatstone bridge. This architecture yields fivefold sensitivity enhancement and 25 µm resolution, overcoming LM sensors’ micro‐strain limitations and enabling ...
Zimeng Wang, Ruiran Li, Bowen Yang, Zhuofei Peng, Muyang Jing, Yu Gu, Lixue Tang   +6 more
wiley   +1 more source

Self-supervised learning with a contrastive VideoMoCo framework for Saudi Arabic sign language recognition using 3D convolutional networks. [PDF]

Sci Rep
Rokaya M, Hemdan DI, Alzain MA, Gad I, Atlam ES.   +4 more
europepmc   +1 more source

Achieving Chemical Accuracy in Cyclodextrin Host–Guest Binding via Integrative Atomistic Modelling

Advanced Science, EarlyView.
A generalizable computational framework is presented that overcomes long‐standing challenges in modelling cyclodextrin host‐guest binding by integrating host‐specific force‐field refinement, equilibrium enhanced sampling, nonequilibrium alchemical switching, convolution sampling of independent works, rigorous finite‐size corrections, and QM‐based ...
Xiaohui Wang, Linqiong Qiu, Hongyu Wang, Wenting Tang, Jiayang Leng, John Z. H. Zhang, Piero Procacci, Zhaoxi Sun   +7 more
wiley   +1 more source

Self-supervised learning for label-free segmentation in cardiac ultrasound. [PDF]

Nat Commun
Ferreira DL, Lau C, Salaymang Z, Arnaout R.   +3 more
europepmc   +1 more source

Self-Supervised Adversarial Variational Learning

Pattern Recognition
Ye, Fei, Bors, Adrian Gheorghe
openaire   +2 more sources