Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
A Python script with an AI algorithm that solves a 2D maze using the A* search algorithm - but, with specific movement constraints, to really force the AI earn its way out of the maze. This time, ...
Unruly, undigital, and fiercely communal — the Gallagher Bros.' U.S. swing is everything our techno-entertainment world isn't. Which is exactly why we need them. By Steven Zeitchik Senior Editor, ...
1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...
LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...
Abstract: Customer churn prediction is important for companies that want to keep their customers. The research paper shows how well the K-Nearest Neighbors (KNN) algorithm can predict when customers ...
Abstract: In this study, we aimed to evaluate the accuracy of loan sanction predictions using two different algorithms. We analyzed how well each algorithm performs by applying them to a sample size ...
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