Abstract: The precise identification of the robot curtain wall assembly state is crucial for improving construction efficiency. Traditional methods remain sensitive to noise in high-dimensional sensor ...

An end-to-end machine learning project to predict Autism Spectrum Disorder (ASD) risk in adults. Features a full ETL pipeline, comparative analysis of unsupervised & supervised models, and a final ...

Background: In the healthcare service industry, patient complaints serve not only as a critical metric for assessing hospital service quality but also as a fundamental driver of high-quality hospital ...

Abstract: This Paper is based on our project which aims at implementing a Natural Language based solution which would deliver job descriptions based on a few criteria like preparing the transformed ...

DBSCAN clustering on synthetic data to demonstrate clustering with noise, parameter tuning, and evaluation using Silhouette, Calinski-Harabasz, and Davies-Bouldin scores. The project highlights the ...