Results 21 to 30 of about 109,079 (262)

Optimal Linear Filter Based on Feedback Structure for Sensing Network with Correlated Noises and Data Packet Dropout

open access: yesSensors, 2023
This paper is concerned with the estimation of correlated noise and packet dropout for information fusion in distributed sensing networks. By studying the problem of the correlation of correlated noise in sensor network information fusion, a matrix ...
Weichen Shang   +4 more
doaj   +1 more source

A Fuzzy Dempster–Shafer Evidence Theory Method with Belief Divergence for Unmanned Surface Vehicle Multi-Sensor Data Fusion

open access: yesJournal of Marine Science and Engineering, 2023
The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors.
Shuanghu Qiao   +3 more
doaj   +1 more source

Radar Voxel Fusion for 3D Object Detection

open access: yesApplied Sciences, 2021
Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and weather conditions that need to be handled. In contrast to more constrained environments, such as automated underground trains, automotive perception systems ...
Felix Nobis   +4 more
doaj   +1 more source

Design of Health Monitoring Program for Filling System based on Data Level Fusion

open access: yesMATEC Web of Conferences, 2016
Aiming at filling system health monitoring, the health monitoring type partition based on the data level fusion is studied. The health monitoring type is mainly divided into two parts, fusion-threshold monitoring based on single sensor data and fusion ...
Cheng Long   +4 more
doaj   +1 more source

Optimizing Neural Inertial Classification: A Benchmark Study of Data-Driven Techniques

open access: yesIEEE Journal of Indoor and Seamless Positioning and Navigation
Inertial sensors are widely used for pedestrian activity recognition. Recent advances in deep learning techniques have significantly improved the inertial classification task’s performance and robustness.
Ofir Kruzel, Zeev Yampolsky, Itzik Klein
doaj   +1 more source

A Fault-Tolerant Multiple Sensor Fusion Approach Applied to UAV Attitude Estimation

open access: yesInternational Journal of Aerospace Engineering, 2016
A novel sensor fusion design framework is presented with the objective of improving the overall multisensor measurement system performance and achieving graceful degradation following individual sensor failures.
Yu Gu   +3 more
doaj   +1 more source

Performance Improvement of Kinect Software Development Kit–Constructed Speech Recognition Using a Client–Server Sensor Fusion Strategy for Smart Human–Computer Interface Control Applications

open access: yesIEEE Access, 2017
Using the Kinect sensor device and its related Microsoft software development kit (SDK), a Kinect-SDK speech recognition system can be easily established. However, such speech recognition systems exhibit substandard recognition performance and unreliable
Ing-Jr Ding, Shih-Kai Lin
doaj   +1 more source

Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet Drops

open access: yesApplied Sciences, 2023
This paper investigates the robust fusion estimation problem for multi-sensor systems with communication constraints, parameter uncertainty, d-step state delays, and deterministic control inputs.
Xiaolei Du, Huabo Liu, Haisheng Yu
doaj   +1 more source

Physiological Sensor Signals Classification for Healthcare Using Sensor Data Fusion and Case-Based Reasoning

open access: yesSensors, 2014
Today, clinicians often do diagnosis and classification of diseases based on information collected from several physiological sensor signals. However, sensor signal could easily be vulnerable to uncertain noises or interferences and due to large ...
Shahina Begum   +2 more
doaj   +1 more source

Chemotherapy for Spinal Cord Intramedullary Pediatric Low‐Grade Glioma—A Systematic Literature Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko   +5 more
wiley   +1 more source

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