SciELO

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 ...
IEEE

Comparison of a Combined Model (K-Nearest Neighbor Algorithm and Support Vector Machine Algorithm), K-Nearest Neighbor Algorithm, and Support Vector Machine Algorithm to Detect ...

Abstract: In this study we delve into the use of a combined machine learning model to counter the growing problems of hate speech on social media. Hate speech can significantly impact individuals, ...
IEEE

A Novel Reinforcement Learning Algorithm Based on Broad Learning System for Fast Communication Antijamming

Abstract: The intelligent antijamming algorithm based on deep reinforcement learning (DRL) has become a prominent focus in communication antijamming research. However, while DRL aims to accurately fit ...