has been cited by the following article(s):
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[1]
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A Multiple Remote Sensing Sensor Fusion System Using Choquet Fuzzy Integral and Modified Particle Swarm Optimization (FI-MPSO)
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2021 |
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[2]
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Application of Complex Choquet Fuzzy Integral Classification Model in Scientific Decision Making
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2020 13th International …,
2020 |
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[3]
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Monitoring the Quality of Water BodiesUsing Satellite and Aerialand satellite imagery Remote Sensing Imagery (Concepts, Methods and New Approaches)
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Journal of Technology …,
2019 |
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[4]
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Multisensor data fusion and machine learning for environmental remote sensing
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2018 |
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[5]
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Remote Sensing for Monitoring Surface Water Quality Status and Ecosystem State in Relation to the Nutrient Cycle: a 40-year Perspective
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Critical Reviews in Environmental …,
2014 |
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[6]
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多Agent 水质监控系统中的信息融合算法
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山东大学学报(工学版),
2014 |
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[7]
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Exploring spatiotemporal patterns of phosphorus concentrations in a coastal bay with MODIS images and machine learning models
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Remote Sensing of Environment,
2013 |
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[8]
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Research of online water quality monitoring system based on zigbee network
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2012 |
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[9]
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Research of Online Water Quality Monitoring System Based on Zigbee Network.
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Y Zhou, D Wen, F Yuan, J Li, M Li - Advances in Information Sciences & Service …, 2012,
2012 |
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[10]
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Exploring the nutrient inputs and cycles in Tampa Bay and coastal watersheds using MODIS images and data mining
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SPIE Optical Engineering+ …,
2011 |
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[11]
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Uzaktan algılama verilerinden su kalitesi parametrelerinin tespit edilmesi
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[1]
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Application of Complex Choquet Fuzzy Integral Classification Model in Scientific Decision Making
2020 13th International Conference on Intelligent Computation Technology and Automation (ICICTA),
2020
DOI:10.1109/ICICTA51737.2020.00022
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[2]
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Remote Sensing for Monitoring Surface Water Quality Status and Ecosystem State in Relation to the Nutrient Cycle: A 40-Year Perspective
Critical Reviews in Environmental Science and Technology,
2015
DOI:10.1080/10643389.2013.829981
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[3]
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Exploring spatiotemporal patterns of phosphorus concentrations in a coastal bay with MODIS images and machine learning models
Remote Sensing of Environment,
2013
DOI:10.1016/j.rse.2013.03.002
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