Asymptotic behavior of $\ell_p$-based Laplacian regularization in semi-supervised learning [PDF]
, 2016 A. El Alaoui +4 more
openalex +1 more source
The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review
AGING MEDICINE, EarlyView.Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das +9 more
wiley +1 more source
From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings [PDF]
, 2019 Yi‐Chen Chen +3 more
openalex +1 more source
A Semi-supervised Learning-Based Method for Correcting Translation Accuracy of Literature Works [PDF]
, 2022 Hongzhu Jiang
openalex +1 more source
Annals of Gastroenterological Surgery, EarlyView.This study analyzed log data from the Japanese hinotori surgical robot to characterize manipulation performed by experienced surgeons in robotic surgery. Compared with less‐experienced surgeons, the experienced group demonstrated shorter task durations, reduced travel distances with the right instrument (Arm3), faster and more dynamically modulated ...
Masaki Saito +11 more
wiley +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, EarlyView.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Scalable Prompt Generation for Semi-supervised Learning with Language Models [PDF]
, 2023 Yuhang Zhou, Suraj Maharjan, Beiye Liu
openalex +1 more source
Computational study of permeability in cardboard coating layers
AIChE Journal, EarlyView.Abstract We develop a virtual material structure model based on a combination of tessellations and Gaussian random fields for a coating layer of paperboard used for packaging and designed to facilitate printing on the surface. To fit the model to tomographic image data acquired using combined focused ion beam and scanning electron microscopy (FIB‐SEM),
Sandra Barman +6 more
wiley +1 more source
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning [PDF]
, 2018 Yawei Luo +4 more
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source