Edge detection of heterogeneity in transmission images based on frame accumulation and multiband information fusion
Sign Up to like & getrecommendations! Published in 2020 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2020.104117
Abstract: Abstract In optical transmission imaging, even a very thin layer of a scattering material can appear opaque make the image blurry, which restricts the positioning of heterogeneity in transmission images. Aiming at the problem, an… read more here.
Keywords: transmission; heterogeneity; transmission images; information fusion ... See more keywords
Identification of moving loads based on the information fusion of weigh-in-motion system and multiple camera machine vision
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2019.05.042
Abstract: Abstract Accurately identifying moving loads is of significance for the health monitoring of bridges. However, since the existing identification techniques can only realize load identification in one direction or for part of bridges, it is… read more here.
Keywords: weigh motion; bridge; information fusion; moving loads ... See more keywords
DL Multi-sensor information fusion service Selective Information Scheme for Improving the Internet of Things based User Responses
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.110008
Abstract: Abstract Multi-sensor information fusion aids different services to meet the application requirements through independent and joint data assimilation. The role of multiple sensors in smart connected applications helps to improve their efficiency regardless of the… read more here.
Keywords: application; information fusion; sensor information; fusion ... See more keywords
Semantic and Context Information Fusion Network for View-Based 3D Model Classification and Retrieval
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3018875
Abstract: In recent years, with the rapid development of 3D technology, view-based methods have shown excellent performance in both 3D model classification and retrieval tasks. In view-based methods, how to aggregate multi-view features is a key… read more here.
Keywords: information fusion; context information; classification retrieval; view ... See more keywords
Vehicle State Estimation Based on Multidimensional Information Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192124
Abstract: As the core input parameters of various control systems, the real-time and accurate acquisition of reference speed, mass and road slope is the key factor to improve the performance of intelligent vehicle dynamics control. Therefore,… read more here.
Keywords: estimation; speed; information fusion; vehicle ... See more keywords
Robust Localization of Signal Source Based on Information Fusion
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2020.3007780
Abstract: A robust algorithm for locating the signal source is proposed based on information fusion from different domains to improve the passive localization accuracy under the non-line-of-sight (NLoS) environment. The localization scenario is established by utilizing… read more here.
Keywords: signal source; information fusion; information; localization ... See more keywords
Identification of Abnormal Conditions for Fused Magnesium Melting Process Based on Deep Learning and Multisource Information Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3070512
Abstract: Fused magnesium furnace (FMF) is the vital equipment for magnesia refractory production. The melting process of FMF is subject to melting temperature, magnesite quality and composition, and much more dynamic factors, which are prone to… read more here.
Keywords: process; information fusion; based deep; abnormal conditions ... See more keywords
Asynchronous information fusion in intelligent driving systems for target tracking using cameras and radars
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3169717
Abstract: In this paper, an asynchronous information fusion issue is investigated for a camera and a radar in an intelligent driving system. Local camera and radar estimators with missed detections are developed independently at synchronized state… read more here.
Keywords: asynchronous information; fusion; information fusion; intelligent driving ... See more keywords
Multimodal Information Fusion Approach for Noncontact Heart Rate Estimation Using Facial Videos and Graph Convolutional Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3129498
Abstract: Heart rate (HR) is a critical signal for reflecting human physical and mental conditions, and it is beneficial for diagnosing neurological and cardiovascular diseases due to its excellent accessibility. However, traditional HR measurement devices have… read more here.
Keywords: information; network; multimodal information; information fusion ... See more keywords
Multimodal Information Fusion for High-Robustness and Low-Drift State Estimation of UGVs in Diverse Scenes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3205687
Abstract: Currently, the autonomous positioning of unmanned ground vehicles (UGVs) still faces the problems of insufficient persistence and poor reliability, especially in the challenging scenarios where satellites are denied, or the sensing modalities such as vision… read more here.
Keywords: information; state; fusion; multimodal information ... See more keywords
A Novel Ensemble Learning-Based Multisensor Information Fusion Method for Rolling Bearing Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3225910
Abstract: It is meaningful to learn fault-related information from multisensor signals automatically and provide accurate diagnostic results. To further improve the multisensor information fusion effect, reduce the discrepancy between the real value and predicted value, and… read more here.
Keywords: information; ensemble learning; information fusion; multisensor information ... See more keywords