Introduction"I finally built a model with good accuracy using GWR or Forest-based Regression, but when I showed it to my boss, they asked, 'I understand this district is high, but why is it high?' and ...
Introduction"We record our snow removal deployment history, but if asked to show numbers for how many requests we expect for ...
The all-new Origin motorhome from Coachmen blows up the existing motorhome classification system and welds the pieces together into something new. It's a Class A that incorporates a heavy dose of ...
Abstract: Accurate recognition of road surface type and condition is essential for intelligent vehicle systems. While Support Vector Machines (SVM) and Random Forests (RF) offer complementary ...
Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
ABSTRACT: Sugar content in cashew apples is a critical indicator of fruit quality and maturity, directly influencing processing and market value. This study explores the use of spectral indices ...
Abstract: Predicting whether an earthquake will generate a tsunami is critical for early warning systems and disaster mitigation. In this study, we present an AI-driven approach to classify ...
The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...
To explore the key predictors of physical activity (PA) levels of Chinese university students, and to analyse the predictive roles of different variables and their relative importance by means of the ...
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