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Local data fusion algorithm for fire detection through mobile robot
(2013-09-02)
Multisensor data fusion is a technique that combines the readings of multiple sensors to detect some phenomenon. Data fusion applications are numerous and they can be used in smart buildings, environment monitoring, industry ...
Local data fusion algorithm for fire detection through mobile robot
(2013-09-02)
Multisensor data fusion is a technique that combines the readings of multiple sensors to detect some phenomenon. Data fusion applications are numerous and they can be used in smart buildings, environment monitoring, industry ...
Decentralized power aware approach for data fusion in IEEE 802.15.4 wireless sensor networks
(2012-07-30)
Wireless Sensor Networks (WSN) can be deployed in a non-intrusive way in outdoor and indoor environments, due its reduced size and wireless communication media. Some networks are deployed in hazardous and inaccessible ...
Average Error Probability in Wireless Sensor Networks With Imperfect Sensing and Communication for Different Decision Rules
(Ieee-inst Electrical Electronics Engineers Inc, 2016-05-15)
This paper presents a framework to evaluate the probability that a decision error event occurs in wireless sensor networks, including sensing and communication errors. We consider a scenario where sensors need to identify ...
A Deep Adversarial Approach Based on Multi-Sensor Fusion for Semi-Supervised Remaining Useful Life Prognostics
(MDPI, 2020)
Multi-sensor systems are proliferating in the asset management industry. Industry 4.0, combined with the Internet of Things (IoT), has ushered in the requirements of prognostics and health management systems to predict the ...
Sensor fusion using entropic measures of dependence
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2011)