Results 251 to 260 of about 312,110 (285)
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Sensor Data Fusion in Robotic Systems
1991ABSTRACT Many types of sensors may be used to gather information on the surrounding environment. It may be noted that different sensors possess distinct characteristics, are designed based on differing physical principles, operate in a wide range of the electromagnetic spectrum, and are geared toward a variety of applications.
J.K. Aggarwal, Y.F. Wang
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IoT Sensor Data Analysis and Fusion
2020With the advent nature of big data, IoT maturity and the massive amount of data generated either on the edge or the core, we need to enhance the intelligence of the way we are handling such huge amounts of data and extract the maximum benefits from having such data.
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Damage Diagnostics Utilizing Sensor Data Fusion
2020Experimental campaign to develop a multi-sensing structural health monitoring (SHM) framework in order to diagnose impact damage in stiffened composite aircraft structures on all four SHM levels, namely 1) detection, 2) localisation, 3) type, and 4) severity.
Broer, Agnes A.R. (author) +2 more
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Multi-temporal Multi-sensor Data Fusion
2014Landsat data offered a great help in mapping a lot of vegetation parameters at 30 m spatial resolution but unfortunately does not provide daily coverage (it has a 16 day revisit cycle). This is a major obstacle for monitoring short term disturbances and changes in vegetation characteristics through time.
Ghannam, Sherin, Abbott, A. Lynn
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Innovations in research and clinical care using patient‐generated health data
Ca-A Cancer Journal for Clinicians, 2020H S L Jim +2 more
exaly
Remaining useful life prediction based on a multi-sensor data fusion model
Reliability Engineering and System Safety, 2021Naipeng Li, Nagi Gebraeel, Yaguo Lei
exaly
Sensor Data Fusion and Event Detection
2013Sensor data often contains noise, outliers, missing values, and a significant number of duplicate values. The causes of such data quality problems include the sensors’ internal errors, a harsh environment in which the sensors are deployed, and data loss occurring during wireless transmission.
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A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks
Information Fusion, 2020Muhammad Muzammal, Sandeep Pirbhulal
exaly