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A mathematical model for temperature-reducing potential of urban greenspaces
Springer Science and Business Media LLC - Tập 16 Số 4 - Trang 4199-4211 - 2023
Akanksha Sangwan, Sudesh Choudhary, Vivek Anand, Nand Kumar, Ashwani Kumar, Mahesh Kumar Jat, Rayees Ahmed
Landslide susceptibility assessment in Qinzhou based on rough set and semi-supervised support vector machine
Springer Science and Business Media LLC - Tập 16 - Trang 3163-3177 - 2023
Chunfang Kong, Yu Li, Kun Dong, Yiping Tian, Kai Xu
As selection of landslide-causing indicators and training samples in landslide susceptibility assessment are the key factors in determining a model’s accuracy, the purpose of this research is to improve the accuracy of the landslide susceptibility assessment model by streamlining landslide-causing indicators and expanding training samples. To this end, rough set (RS) theory and genetic reduction m...... hiện toàn bộ
Comparative analysis of machine learning algorithms and statistical models for predicting crown width of Larix olgensis
Springer Science and Business Media LLC - Tập 15 - Trang 2415-2429 - 2022
Siyu Qiu, Ruiting Liang, Yifu Wang, Mi Luo, Yujun Sun
Crown width is one of the most important crown dimensions that influence tree growth and survival. Accurate crown width prediction is vital for forest management. However, measuring crown width is time-consuming and labor-intensive, making it necessary to construct a convenient and accurate crown width prediction model. Nowadays, machine learning technologies have already been increasingly used to...... hiện toàn bộ
Sand fraction prediction from seismic attributes using optimized support vector regression in an oil reservoir
Springer Science and Business Media LLC - Tập 13 - Trang 405-416 - 2020
Mohammad Sadegh Amiri Bakhtiar, Ghasem Zargar, Mohammad Ali Riahi, Hamid Reza Ansari
In this study, a new strategy based on integrating geostatistical seismic inversion and optimized support vector regression (OSVR) will be utilized to transform multi seismic attributes to sand fraction log. In first step, owing to compatibility relation between acoustic impedance (AI) and sand fraction, a high resolution value of this important attribute was extracted through a geostatistical sei...... hiện toàn bộ
Spectra method for revealing relations between slope and possible sunshine duration in China
Springer Science and Business Media LLC - Tập 13 Số 3 - Trang 695-707 - 2020
Nan Chen
Utilizing ANN for improving the WRF wind forecasts in Türkiye
Springer Science and Business Media LLC - Tập 16 - Trang 2167-2186 - 2023
Yiğitalp Kara, Ilgar Ataol Akalin, Nursima Gamze Deniz, Umur Dinç, Zeynep Feriha Ünal, Hüseyin Toros
The accurate estimation of wind speed is crucial for wind energy production, given the exponential relationship between wind and power. However, this is a challenging task due to the stochastic nature of meteorology. In this study, the Weather Research and Forecasting Model (WRF) with a 9 km spatial resolution was used to simulate hourly wind speed values for Türkiye, using Global Data Assimilatio...... hiện toàn bộ
Applying optimum fusion method to improve lithological mapping of sedimentary rocks using sentinel-2 and ASTER satellite images
Springer Science and Business Media LLC - Tập 15 - Trang 1765-1778 - 2022
Mostafa Kabolizadeh, Kazem Rangzan, Seyyed Sajedin Mousavi, Ehsan Azhdari
This study was set the yield a precise map of geological formations appliying satellite image fusion techniques. Geologic maps are one of the most valuable sources for understanding the geological conditions of a region used to show the spread of different rock and soil outcrops. In the present research, the fusion of ASTER and Sentinel-2 images were applied using Brovey Transform (BT), Gram-Schmi...... hiện toàn bộ
Spatial prediction of soil erosion susceptibility: an evaluation of the maximum entropy model
Springer Science and Business Media LLC - Tập 11 - Trang 389-401 - 2018
Maryam Pournader, Hasan Ahmadi, Sadat Feiznia, Haji Karimi, Hamid Reza Peirovan
Soil erosion is considered as the most widespread form of soil degradation which causes serious environmental problems. This study investigates the performance of the maximum entropy (ME) in mapping rill erosion susceptibility in the Golgol watershed, Ilam province, Iran. To this end, ten rill erosion conditioning factors were selected to be employed in the modelling process based on an investigat...... hiện toàn bộ
Optimization of negative sample selection for landslide susceptibility mapping based on machine learning using K-means-KNN algorithm
Springer Science and Business Media LLC - Tập 16 - Trang 4131-4152 - 2023
Chao Liu
The quality of the sample plays a vital role in developing accurate models using machine learning. This aspect is equally important when evaluating regional landslide susceptibility using machine learning. Previous studies have mostly employed random generation methods to select samples, which often fail to select representative samples. Therefore, this study proposes the KK-sampling method, which...... hiện toàn bộ
When is it sensible not to use XML?
Springer Science and Business Media LLC - Tập 4 - Trang 45-53 - 2010
Bruce R. Barkstrom
This paper considers the problem of comparing the read time for a file containing an array of one-half million one-byte data values using a direct read time with the time required to read an equivalent XML file. The XML file uses a variable-length string encoding of the identifiers associated with each of the byte values. The XML file is about 180 times larger than the original file of byte values...... hiện toàn bộ
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