Results 21 to 30 of about 69,867 (301)
A fibre optic sensor for the measurement of surface roughness and displacement using artificial neural networks [PDF]
, 1997 This paper presents a fiber optic sensor system, artificial neural networks (fast back-propagation) are employed for the data processing. The use of the neural networks makes it possible for the sensor to be used both for surface roughness and ...
Butler, C, Lu, Y, Yang, QP, Zhang, K
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Geophysical Research Letters, 2023 Significant variability of raindrop size distributions (DSDs) has been observed in the “21·7” Henan extremely heavy rainfall event (the “21·7” Henan EHR event), while the capability of model to reproduce such complicated heavy rainfall DSDs is yet ...
Gang Chen +8 more
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Frontiers in Environmental Science, 2022 Long-term near-surface soil moisture (SM) data can be obtained on a regional scale through microwave remote sensing. Therefore, to quantitatively analyze the accuracy of multisource remote sensing–based observation products, improve the retrieval ...
Jiazhi Fan +6 more
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Meteorological Applications, 2020 Reliable and affordable telecommunications are an integral part of service‐based economies, but the nature of the associated physical infrastructure leads to considerable exposure to weather.
David J. Brayshaw +3 more
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RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data
IEEE Access, 2023 Time-series data with missing values are a common occurrence in various fields, including healthcare, meteorology, and robotics. The process of imputation aims to fill in the missing values with valid values.
Tae-Min Choi, Ji-Su Kang, Jong-Hwan Kim
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MAPPING COLOURED DISSOLVED ORGANIC MATTER IN MANILA BAY USING SENTINEL-3 AND WASI [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Manila Bay is one of the most significant bodies of water in the Philippines; it has abundant natural resources that have been the source of livelihood and center of socio-economic development for centuries.
A. Manuel +5 more
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Mathematics, 2022 Prediction problems in timed datasets related to human activities are especially difficult to solve, because of the specific characteristics and the scarce number of predictive (input) variables available to tackle these problems.
Ricardo Torres-López +5 more
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Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches [PDF]
, 2019 In this research, climate classification maps over the Korean Peninsula at 1 km resolution were generated using the satellite-based climatic variables of monthly temperature and precipitation based on machine learning approaches.
Im, Jungho +6 more
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Exploiting Domain Knowledge to Address Class Imbalance in Meteorological Data Mining
Applied Sciences, 2022 We deal with the problem of class imbalance in data mining and machine learning classification algorithms. This is the case where some of the class labels are represented by a small number of examples in the training dataset compared to the rest of the ...
Evangelos Tsagalidis +1 more
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Why the Increasing Trend of Summer Rainfall over North China Has Halted since the Mid-1990s
Advances in Meteorology, 2020 Previous studies indicate that the summer (July-August) rainfall over North China has decreased since the mid-1970s due to the weakening of East Asian summer monsoon (EASM). However, this study firstly discovers the new evidences that the summer rainfall
Haiwen Liu +5 more
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