Results 121 to 130 of about 113,519 (298)

Enhancing GNSS Localization in Urban Canyons With a Hybrid CNN-Autoencoder Approach to LOS/NLOS Classification

open access: yesIEEE Access
Non-Line-of-Sight (NLOS) reception is acknowledged as a primary source of positioning error in Global Navigation Satellite System (GNSS) applications, particularly within dense urban settings. When the direct satellite path is obstructed by buildings and
S. Titouni   +8 more
doaj   +1 more source

Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders

open access: hybrid, 2022
Ana González   +4 more
openalex   +1 more source

AUTAN-ECG: An AUToencoder bAsed system for anomaly detectioN in ECG signals [PDF]

open access: gold, 2023
Ugo Lomoio   +7 more
openalex   +1 more source

Reconstructing attractors with autoencoders

open access: yesChaos: An Interdisciplinary Journal of Nonlinear Science
We propose a method based on autoencoders to reconstruct attractors from recorded footage, preserving the topology of the underlying phase space. We provide theoretical support and test the method with (i) footage of the temperature and stream function fields involved in the Lorenz atmospheric convection problem and (ii) a time series obtained by ...
F. Fainstein, G. B. Mindlin, P. Groisman
openaire   +4 more sources

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian   +37 more
wiley   +1 more source

Reliable Task-Constrained Band Selection Method for Hyperspectral Anomaly Detection

open access: yesRemote Sensing
Hyperspectral band selection utilizes a crucial band subset to represent original data. In hyperspectral anomaly detection tailored for specific tasks, detection performance can be enhanced by pre-selecting a subset of bands that are more representative.
Genrui Zhang   +4 more
doaj   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan   +7 more
wiley   +1 more source

AI‐Driven Predictive Design and Functionalization of Three Dimensional‐Printed PEEK Implants with Tryptophan‐Enriched Alginate Hydrogel for Enhanced Biomimetic Surface Performance

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces an AI‐guided strategy to design 3D‐printed PEEK implants functionalized with a tryptophan‐enriched alginate hydrogel (TRYALPEEK). The modification improves hydrophilicity, reduces surface roughness, enhances cytocompatibility, and optimizes stress distribution. The platform offers a promising route for personalized implant design,
Wafa Benaatou   +8 more
wiley   +1 more source

SASEGAN-TCN: Speech enhancement algorithm based on self-attention generative adversarial network and temporal convolutional network

open access: yesMathematical Biosciences and Engineering
Traditional unsupervised speech enhancement models often have problems such as non-aggregation of input feature information, which will introduce additional noise during training, thereby reducing the quality of the speech signal.
Rongchuang Lv   +7 more
doaj   +1 more source

Home - About - Disclaimer - Privacy