Results 281 to 290 of about 2,062,780 (342)

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Virtual reality-augmented differentiable simulations for digital twin applications in surgical planning. [PDF]

Sci Rep
Cremese R, Godard C, Bénichou A, Blanc T, Quemada I, Vestergaard CL, Hajj B, Barbier-Chebbah A, Laurent F, Masson JB.   +9 more
europepmc   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Psychological distance affects real movements in virtual reality: distance to food in anorexia nervosa. [PDF]

J Eat Disord
van den Hoek Ostende MM, Brizzi G, Meregalli V, Schroeder PA, Collantoni E.   +4 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

The effect of viewing-only, reaching, and grasping on size perception in virtual reality. [PDF]

PLoS One
Foglino C, Watson T, Stein N, Fattori P, Bosco A.   +4 more
europepmc   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Exercises Based on a Non-Immersive Virtual Reality Application for Upper Limb Rehabilitation. [PDF]

Bioengineering (Basel)
Cotia CI, Mandru SD.
europepmc   +1 more source

Cyberdelics: Virtual reality hallucinations modulate cognitive-affective processes. [PDF]

Dialogues Clin Neurosci
Brizzi G, Pupillo C, Rastelli C, Greco A, Bernardelli L, Di Natale AF, Pizzoli SFM, Sajno E, Frisone F, Di Lernia D, Riva G.   +10 more
europepmc   +1 more source