Results 61 to 70 of about 309,652 (283)
Feature Visualization for 3D Point Cloud Autoencoders
2020 International Joint Conference on Neural Networks (IJCNN), 2020 In order to reduce the dimensionality of 3D point cloud representations, autoencoder architectures generate increasingly abstract, compressed features of the input data. Visualizing these features is central to understanding the learning process, however, while successful visualization techniques exist for neural networks applied to computer vision ...
Rios, T. +5 more
openaire +2 more sources
Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall +16 more
wiley +1 more source
Intelligent City 3D Modeling Model Based on Multisource Data Point Cloud Algorithm
Journal of Function Spaces, 2022 With the rapid development of smart cities, intelligent navigation, and autonomous driving, how to quickly obtain 3D spatial information of urban buildings and build a high-precision 3D fine model has become a key problem to be solved.
Youping Wu, Zhihui Zhou
doaj +1 more source
IEEE Access, 2021 To meet the needs of three-dimensional (3D) measurement and to achieve the high-precision fitting of the central axis of a screw thread, this study performed complex processing of the 3D structures on the surface of the thread central axis.
Lihua Lei +6 more
doaj +1 more source
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
DTNLS: 3D Point Cloud Segmentation Based on 2D Image and 3D Point Cloud Double Texture Feature
IEEE AccessPanoramic segmentation of 3D point clouds is an essential and challenging technology for robots with 3D detection and measurement capabilities. In order to fuse the color information of 2D image pixels with the spatial position information of the 3D ...
Zhiguang Liu +5 more
doaj +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Shaping Ti3C2 MXene Nanospheres for Precision Near‐Infrared Photothermal Therapy
Advanced Functional Materials, EarlyView.In this study, we report producing spherical MXenes via fs laser fragmentation of Ti3C2 flakes in liquid medium. The nanoparticles demonstrated pronounced light absorption and high photothermal conversion efficiencies of 68% and 63% under heating with NIR‐I and NIR‐II lasers, respectively.
Julia S. Babkova +21 more
wiley +1 more source