An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the ...
Actor Ryan Reynolds told attendees at the Toronto International Film Festival (TIFF) on Friday that he is not "MAGA" or "extreme anything," recalling a moment when he suggested swapping phones with a ...
In 2025, business leaders must confront the scale, complexity and consequences of artificial intelligence—ethically, economically and socially. Unsplash+ In an age of A.I. chatbots in customer service ...
Objectives Adverse lifestyle promotes escalating excess gestational weight gain (GWG) driving poor maternal and neonatal health outcomes. Recommended pregnancy lifestyle interventions rely on accurate ...
In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. Experiments are performed to obtain ...
Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...
First Data Structures homework, implemented various sorting algorithms in C++ and compared their time complexities. Implementation of next fit, first fit, best fit, first fit decreasing, and best fit ...
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