CrossRef Text and Data Mining
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Monitoring Activity for Recognition of Illness in Experimentally Infected Weaned Piglets Using Received Signal Strength Indication ZigBee-based Wireless Acceleration Sensor
Sonia Tabasum Ahmed, Hong-Seok Mun, Md. Manirul Islam, Hyun Yoe, Chul-Ju Yang
Asian-Australas J Anim Sci. 2016;29(1):149-156.   Published online September 3, 2015

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Sensor models and localization algorithms for sensor networks based on received signal strength
EURASIP Journal on Wireless Communications and Networking. 2012;2012(1):   Crossref logo
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A Recurrent Learning Method Based on Received Signal Strength Analysis for Improving Wireless Sensor Localization
Circuits, Systems, and Signal Processing. 2019;39(2):1019-1037   Crossref logo
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Received signal strength based positioning for multiple nodes in wireless sensor networks
Digital Signal Processing. 2014;25:41-50   Crossref logo
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ZigBee-Based Wireless Sensor Network for Temperature Monitoring
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY. 2013;10(10):2062-2070   Crossref logo
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Energy-Efficient ZigBee-Based Wireless Sensor Network for Track Bicycle Performance Monitoring
Sensors. 2014;14(8):15573-15592   Crossref logo

Activity Recognition in Healthcare Monitoring Systems Using Wireless Sensor Networks
Lecture Notes in Computer Science. 2011;265-274   Crossref logo

Outdoor Location Estimation Using Received Signal Strength-Based Fingerprinting
Wireless Personal Communications. 2016;89(2):365-384   Crossref logo
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An Improved Location Estimation with Modular Neural Fuzzy Approach using Received Signal Strength in Wireless Sensor Networks
Proceedings of the 2017 International Conference on Machine Learning and Soft Computing - ICMLSC '17. 2017;   Crossref logo

Human Positioning Estimation Method Using Received Signal Strength Indicator (RSSI) in a Wireless Sensor Network
Procedia Computer Science. 2014;34:126-132   Crossref logo
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A Routing Protocol Based on Received Signal Strength for Underwater Wireless Sensor Networks (UWSNs)
Information. 2017;8(4):153   Crossref logo