Robust fusion steady‐state filtering for multisensor networked systems with one‐step random delay, missing measurements, and uncertain‐variance multiplicative and additive white noises
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4648
Abstract: The robust fusion steady‐state filtering problem is investigated for a class of multisensor networked systems with mixed uncertainties including multiplicative noises, one‐step random delay, missing measurements, and uncertain noise variances, the phenomena of one‐step random… read more here.
Keywords: multisensor; fusion steady; state; approach ... See more keywords
Self-heated Ag-decorated SnO2 nanowires with low power consumption used as a predictive virtual multisensor for H2S-selective sensing.
Sign Up to like & getrecommendations! Published in 2019 at "Analytica chimica acta"
DOI: 10.1016/j.aca.2019.04.020
Abstract: Multisensor systems with low-power consumption are emerging for the Internet of Things. In this work, we demonstrate the use of self-heated networked Ag-decorated SnO2 NW sensors integrated into a portable module for selective detection of… read more here.
Keywords: power consumption; multisensor; virtual multisensor; power ... See more keywords
Rapid Identification and Classification of Pathogens That Produce Carbapenemases and Cephalosporinases with a Colorimetric Paper-Based Multisensor.
Sign Up to like & getrecommendations! Published in 2022 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.2c01724
Abstract: Infections caused by bacteria that produce β-lactamases (BLs) are a major problem in hospital settings. The phenotypic detection of these bacterial strains requires culturing samples prior to analysis. This procedure may take up to 72… read more here.
Keywords: produce carbapenemases; paper based; pathogens produce; based multisensor ... See more keywords
Accelerating Crop Yield: Multisensor Data Fusion and Machine Learning for Agriculture Text Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3249205
Abstract: Sensors are now used by farmers and agronomists to help them improve their operations. They use sensor data transmitted via IoT to remotely monitor their crops. Farmers today manage crops in a controlled environment to… read more here.
Keywords: crop; data fusion; machine learning; multisensor data ... See more keywords
m-Therapy: A Multisensor Framework for in-Home Therapy Management: A Social Therapy of Things Perspective
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2017.2776150
Abstract: Social Internet of Things is assumed to provide health services by incorporating social networks and the Internet of Things (IoT). Although, much development in therapy monitoring has been observed recently, few advancements have been achieved… read more here.
Keywords: home; framework; multisensor; ambient ... See more keywords
Iterative Learning Tracking for Multisensor Systems: A Weighted Optimization Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2942105
Abstract: Multisensor systems are widely applied to realize the comprehensive monitoring and control as they feature multiple individual sensors/outputs. In such systems, different sensors can receive different types of operation signals, such as pressure, temperature, and… read more here.
Keywords: multisensor systems; multisensor; learning tracking; weighted optimization ... See more keywords
Monitoring Fractional Floating Algae Cover Over Eutrophic Lakes Using Multisensor Satellite Images: MODIS, VIIRS, GOCI, and OLCI
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3224221
Abstract: Coarse-resolution sensors have been used operationally to monitor floating algal blooms with a near daily revisit in coastal and inland waters. Most of the current methods in estimating fractional floating algae cover (FAC) were based… read more here.
Keywords: inline formula; multisensor; floating algae; tex math ... See more keywords
A Fast Anomaly Diagnosis Approach Based on Modified CNN and Multisensor Data Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3135520
Abstract: In this article, a modified convolutional neural network (CNN) algorithm, namely 1D-GAPCNN-SVM, is proposed to address the early anomaly diagnosis problem. Considering the fact that traditional 2D-CNN based approaches contain too many model parameters and… read more here.
Keywords: diagnosis approach; fast anomaly; diagnosis; cnn ... See more keywords
Low-Cost Hybrid Multisensor Fusion Method and Implementation for Production Intelligent Vehicles
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3200434
Abstract: Faced with cost limitations and 360° fusion and tracking requirement of production intelligent vehicles, this article proposes a low-cost hybrid multisensor fusion method that provides flexibility and scalability for multilevel information input and different sensor… read more here.
Keywords: information; fusion; cost; method ... See more keywords
A Lightweight SHM Framework Based on Adaptive Multisensor Fusion Network and Multigeneration Knowledge Distillation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3214300
Abstract: Structural health monitoring (SHM) technology is of great importance to ensure the long-term and reliable operation of engineering structures. The monitoring systems for large structures are characterized by large numbers of measurement points and complex… read more here.
Keywords: network; fusion; shm; lightweight shm ... 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