Search Results - (( developing soil extraction algorithm ) OR ( java implication based algorithm ))
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The potential of shear wave velocity as an erosion risk index
Published 2022“…Soil particle distribution was carried out to calculate the ROM erosion index value for all the extracted soil samples. …”
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Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study
Published 2019“…In this field, it was not possible to predict extractable P and K using all tested sensor combinations or algorithms. …”
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Using genetic algorithms to optimise land use suitability
Published 2012“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Mapping of Krau Wildlife Reserve (KWR) protected area using Landsat 8 and supervised classification algorithms
Published 2018“…The ANN map produced the highest overall accuracy and was consequently utilized to extract additional information related to disturbance and encroachment within and around the PA. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The grid cell physical properties such as topography, land use, soil, and Manning’s roughness’ coefficient were extracted from published maps for discretized cells of the Klang River basin(KRB) using a GIS. …”
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Comparative Analysis of Gene Expressed in Trunking and Non-Trunking Metroxylon sagu Leaves Utilizing Transcriptome Sequencing
Published 2023“…However, sago palm planted on deep-peat soil failed to develop their trunk even after 17 years of being planted. …”
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The evolution of spectral analysis of surface wave method – a review
Published 2021“…Precise recording of amplitude value has the potential to further improve the effectiveness and develop the surface wave testing methods. Different approaches for interpreting the dispersion curve and their potential regarding sensitivity to noise, reliability, and capability to extract significant information were investigated. …”
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A comparative assessment between object and pixel-based classification approaches for land-use/land-cover mapping using Spot 5 imagery
Published 2014“…Land use/land cover (LULC) classification with high accuracy is necessary, especially in eco-environment research, urban planning, vegetation condition study and soil management. Over the last decade a number of classification algorithms have been developed for the analysis of remotely sensed data. …”
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Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
Published 2015“…Due to the huge losses in this area, development of appropriate flood modeling is required for the government. …”
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Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease
Published 2021“…The machine learning algorithm consistently performs well when presented with a well-balanced dataset. …”
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