Results 141 to 150 of about 1,174,484 (222)

Multi-Sensor Data Fusion in A Real-Time Support System for On-Duty Firefighters. [PDF]

open access: yesSensors (Basel), 2019
Pham VT   +5 more
europepmc   +1 more source

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

Information Fusion, 2020
Wireless Body Sensor Network (BSNs) are wearable sensors with varying sensing, storage, computation, and transmission capabilities. When data is obtained from multiple devices, multi-sensor fusion is desirable to transform potentially erroneous sensor ...
Muhammad Muzammal   +3 more
semanticscholar   +3 more sources

Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy

Information Fusion, 2019
Multi-sensor data fusion technology plays an important role in real applications. Because of the flexibility and effectiveness in modeling and processing the uncertain information regardless of prior probabilities, Dempster–Shafer evidence theory is ...
Fuyuan Xiao
semanticscholar   +3 more sources

Machine Learning/Artificial Intelligence for Sensor Data Fusion–Opportunities and Challenges

IEEE Aerospace and Electronic Systems Magazine, 2021
During Fusion 2019 Conference (https://www.fusion2019.org/program.html), leading experts presented ideas on the historical, contemporary, and future coordination of artificial intelligence/machine learning (AI/ML) with sensor data fusion (SDF).
Erik Blasch   +6 more
semanticscholar   +1 more source

Remaining useful life prediction based on a multi-sensor data fusion model

Reliability Engineering & System Safety, 2021
With the rapid development of Industrial Internet of Things, more and more sensors have been used for condition monitoring and prognostics of industrial systems.
Naipeng Li   +5 more
semanticscholar   +1 more source

Effective multi-sensor data fusion for chatter detection in milling process.

ISA transactions, 2021
This paper introduces a newly developed multi-sensor data fusion for the milling chatter detection with a cheap and easy implementation compared with traditional chatter detection schemes.
M. Tran, Meng-Kun Liu, M. Elsisi
semanticscholar   +1 more source

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