Prediction of damage evolution in carbonate building stones subjected to simulated acid rain using M5P model
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DOI: 10.1038/s41598-025-19196-z
Abstract: This study focuses on predicting the acid rain damage using machine learning techniques. First, a database containing 168 datasets was established based on laboratory experiments on seven types of carbonate building stones. Laboratory experiments were… read more here.
Keywords: acid rain; m5p model; model; damage ... See more keywords
Statistical Analysis versus the M5P Machine Learning Algorithm to Analyze the Yield of Winter Wheat in a Long-Term Fertilizer Experiment
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DOI: 10.3390/agronomy10111779
Abstract: To compare how different analytical methods explain crop yields from a long-term field experiment (LTFE), we analyzed the grain yield of winter wheat (WW) under different fertilizer applications in Muncheberg, Germany. An analysis of variance… read more here.
Keywords: fertilizer; grain yield; yield; m5p model ... See more keywords
Predicting Compressive and Splitting Tensile Strengths of Silica Fume Concrete Using M5P Model Tree Algorithm
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DOI: 10.3390/ma15155436
Abstract: Compressive strength (CS) and splitting tensile strength (STS) are paramount parameters in the design of reinforced concrete structures and are required by pertinent standard provisions. Robust prediction models for these properties can save time and… read more here.
Keywords: model tree; silica fume; fume concrete; splitting tensile ... See more keywords