Background We employed machine learning approaches to (I) determine distinct
progression trajectories in Parkinson's disease (PD)(unsupervised clustering task), and (II) …

Objectives The present work focuses on assessment of Parkinson's disease (PD), including
both PD subtype identification (unsupervised task) and prediction (supervised task). We …

It has great significance to monitor the oil and gas pipeline leakage to reduce economic loss
and environmental pollution. In this paper, we propose a method to recognize the leakage of …

Background Given the increasing recognition of the significance of non-motor symptoms in
Parkinson's disease, we investigate the optimal use of machine learning methods for the …

Objectives It is important to subdivide Parkinson's disease (PD) into subtypes, enabling
potentially earlier disease recognition and tailored treatment strategies. We aimed to identify …

Predicting comfort levels in cities is challenging due to the many metric assessment. To
overcome these challenges, much research is being done in the computing community to …

Purpose It is vital to appropriately power clinical trials towards discovery of novel disease-
modifying therapies for Parkinson's disease (PD). Thus, it is critical to improve prediction of …

Abstract Evaluation of students' feedback is essential in education as it helps the instructors
to check the effectiveness of their teaching. The feedback collected at the end of the …

Cyberbullying refers to bullying and harassment of defenseless or vulnerable people such
as children, teenagers, and women through any means of communication (eg, e-mail, text …

The process of admitting new students at Universitas Islam Negeri Raden Fatah each year
produces a lot of new student data. So that there is an accumulation of student data …