Results 201 to 210 of about 210,501 (299)

A Deep Metric Learning and Multimodal Gated Fusion Framework for AI-Driven Risk Assessment of Lingual Plate Perforation and Mandibular Canal Injury in Posterior Mandible Implants. [PDF]

Int J Dent
Al-Taezi KA, Liu L, Al-Badwi A, Al-Taezi MA, Dong S, Al-Habib M, Tang C.   +6 more
europepmc   +1 more source

Deep Metric Learning-Based Strawberry Disease Detection With Unknowns. [PDF]

Front Plant Sci, 2022
You J, Jiang K, Lee J.
europepmc   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

A Metric Learning-Based Improved Oriented R-CNN for Wildfire Detection in Power Transmission Corridors. [PDF]

Sensors (Basel)
Wang X, Wang B, Luo P, Wang L, Wu Y.
europepmc   +1 more source

Patient Identification Based on Deep Metric Learning for Preventing Human Errors in Follow-up X-Ray Examinations. [PDF]

J Digit Imaging, 2023
Ueda Y, Morishita J.
europepmc   +1 more source

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

Advanced Engineering Materials, EarlyView.
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo, Daniela Winsley Valereto Friozi, Vinícius de Oliveira, Marcia Cristina Branciforti   +3 more
wiley   +1 more source

CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learning. [PDF]

PLoS Comput Biol
Liu Y, Xia Y, Yan H, Shen LC, Zhu Y, Qiang JP, Wei G.   +6 more
europepmc   +1 more source

A cross-modal deep metric learning model for disease diagnosis based on chest x-ray images. [PDF]

Multimed Tools Appl, 2023
Jin Y, Lu H, Li Z, Wang Y.
europepmc   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

High-dimensional anticounterfeiting nanodiamonds authenticated with deep metric learning. [PDF]

Nat Commun
Wang L, Yu X, Zhang T, Hou Y, Lei D, Qi X, Chu Z.   +6 more
europepmc   +1 more source