learning (artificial intelligence)neural netspattern classificationsoilsupport vector machines/ machine learningsoil classificationsalient featuresboundary energy methodIn a number of engineering problems, e.g. in geotechnics, petroleum engineering, etc. intervals of measured series data (signals) are to be ...
Sustainable agricultural practices help to manage and use natural resources efficiently. Due to global climate and geospatial land design, soil texture, soil–water content (SWC), and other parameters vary greatly; thus, real time, robust, and accurate s
The second machine learning technique uses the Support Vector machine (SVM) that is firmly based on the theory of statistical learning theory, uses classification technique. ANN and SVM have been developed to predict liquefaction susceptibility using corrected SPT [(N1)60] and cyclic stress ratio (...
Recent advancements in machine learning techniques are promising to overcome these issues. The proposed method, the entangled random forest, a variant of a random decision forest, classifies individual pixels into soil, residue, living plants and stones. Simple and efficient pixel-wise comparisons to ...
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Bearing similarity to clustering, classification is different in that it is applied in supervised learning, where predefined labels are assigned. What does a machine learning engineer do? Machine learning engineers work translate the raw data gathered from various data pipelines into data science ...
Machine Learning in Soil Classification. Neural Networks 2006, 19, 186–195. [Google Scholar] [CrossRef] Chen, T.; Guestrin, C. Xgboost: A Scalable Tree Boosting System. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA,...
Soil salinization is a critical and global environmental problem. Effectively mapping and monitoring the spatial distribution of soil salinity is essential. The main aim of this work was to map soil salinity in Shandong Province located on the Yellow Riv
Get an overview of machine learning concepts. Learn what machine learning is, how machine learning works, and what to look for in a machine learning platform.
To investigate the effect of machine learning methods on predicting the Overall Survival (OS) for non-small cell lung cancer based on radiomics features analysis. A total of 339 radiomic features were extracted from the segmented tumor volumes of pretrea