Power transformers, as oil-immersed equipment, are primarily diagnosed using dissolved gas analysis (DGA), a widely recognized and effective fault detection method. Over time, numerous approaches have ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

In [10], support vector machine (SVM) and K-nearest neighbors (KNN) algorithms were used to detect brain lesions. SVM was also used in a microwave-based stroke detection system to determine the lesion ...

The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of traditional kNN ...

The algorithm is evaluated using a train-and-test split as well as by k-fold cross validation method. Special emphasis on optimization to improve time computational complexity is made during the ...