Results 191 to 200 of about 81,918 (262)

Recovery of Bioactive Compounds from Pomegranate Seeds (<i>Punica granatum</i> L.) Using Microwave- and Ultrasound-Assisted Extraction Techniques. [PDF]

Plants (Basel)
Arias-Balderas WM, Ronquillo-de Jesús E, Patiño-Rodríguez O, Cortes-Reyna CA, Aguilar-Méndez MA.   +4 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

DG-LLM: Decomposition-based dynamic graph adaptation of large language models for spatiotemporal traffic forecasting. [PDF]

PLoS One
Tabassum S, Nower N.
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Predictive Accuracy of Intraocular Lens Power Calculation Formulas for Cataract Surgery in Keratoconus: A Systematic Review and Network Meta-Analysis. [PDF]

Clin Ophthalmol
Aljahdali FF, Albadri M, Sharif RK, Alharbi BJ, Alzahrani AA, BinYamin AT, Bin Helayel H.   +6 more
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Deep learning guided propofol ketamine dosing and inflammation trajectories in elderly burns. [PDF]

Front Comput Neurosci
Yuan X, Wang G, Jiang X, Miao W.
europepmc   +1 more source

Macula- Versus Disc-Centered Fundus Photography: Performance in Age-Prediction and Disease Associations. [PDF]

Invest Ophthalmol Vis Sci
Heatley AC, Enbiyaoglu M, Engelmann J, Zhou Y, Cortina-Borja M, Khawaja AP, Denniston AK, Zhu LZ, Keane PA, Wagner SK.   +9 more
europepmc   +1 more source

Synthetic CT imaging for pelvic and abdominal MR-only radiotherapy: Clinical validation on a 1.5T MR-Linac. [PDF]

J Appl Clin Med Phys
Gaban C, Pisaturo O, Moeckli R, Pachoud M, Ghandour S.   +4 more
europepmc   +1 more source