IEEE

Machine Learning for ASD Screening: A Comprehensive Benchmark Study of Classification Algorithms Across Children, Adolescents and Adults

Abstract: This paper proposes a methodology for predicting Autism Spectrum Disorder (ASD) cases using Machine Learning (ML) and Deep Learning (DL) algorithms as a binary classification problem. We ...
IEEE

Data-Driven Air Quality Classification: A Performance Analysis of K-Nearest Neighbors and Naive Bayes Algorithms

Abstract: This study compares the performance of K-Nearest Neighbors (KNN) and Naïve Bayes in classifying air pollution levels using a dataset from Kaggle. Traditional air quality assessment methods ...