Bayesian optimization combined with in situ quantitative phase imaging enables autonomous correction of layer‐height deviations in projection multi‐photon lithography. By jointly tuning model parameters and grayscale exposure settings, the method achieves more uniform and accurate layers within 300 prints, offering a fast, data‐efficient route to ...
Jason E. Johnson, Xianfan Xu
wiley +1 more source
SM-TCN: Multi-Resolution Sparse Convolution Network for Efficient High-Dimensional Time Series Forecast. [PDF]
Guo Z, Sun Y, Wu T.
europepmc +1 more source
When seeking nanoparticles with elevated drug loading content, the experimental setup, including solvent selection, is crucial. Through machine learning, we pinpointed that the drug's solubility in the organic solvent is the key factor for attaining high drug loading content.
Wei Ge +4 more
wiley +1 more source
Hierarchical coordinated scheduling algorithm for reactive power and voltage in cross-regional power grids based on multi-agent reinforcement learning. [PDF]
Lin Z, Zhang X, Ren Z, Shao Y, Chen Y.
europepmc +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Toward ambulatory monitoring of vocal behavior at the physiological level using deep ensembles and Bayesian neural networks. [PDF]
Zhang Z.
europepmc +1 more source
The Hidden Burden of Hemifacial Spasm: A Systematic Review of Non‐Motor Symptoms
Abstract Background Hemifacial spasm (HFS) is a chronic neurological disorder characterized by involuntary contractions of facial muscles. Traditionally regarded as a motor condition, HFS encompasses a spectrum of non‐motor symptoms that are often overlooked but significantly affect patients’ quality of life.
Miriam Carvalho Soares +2 more
wiley +1 more source
Theta Power at 10 Months of Age Predicts Developmental Change in Language in Infants With and Without an Elevated Likelihood for Autism. [PDF]
Papageorgopoulou E +9 more
europepmc +1 more source
Deep Learning Unlocks Behavioral Prediction and Neurobehavioral Decoding
This review evaluates deep learning frameworks that surmount conventional limitations through high‐dimensional nonlinear modeling, spatiotemporal dependency capture, and multimodal information integration. Focusing on biological behavior forecasting and neural mechanism decoding, we delineate cutting‐edge applications, including real‐time action ...
Tianzhe Han +5 more
wiley +1 more source

