Eye tracking biomarkers for autism spectrum disorder detection using machine learning and deep learning techniques

RA Jeyarani, R Senthilkumar - Research in Autism Spectrum Disorders, 2023 - Elsevier
Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both
children and adults. An important aspect of social communication is keeping eye contact …

Predicting employee attrition using machine learning approaches

A Raza, K Munir, M Almutairi, F Younas, MMS Fareed - Applied Sciences, 2022 - mdpi.com
Employee attrition refers to the natural reduction in the employees in an organization due to
many unavoidable factors. Employee attrition results in a massive loss for an organization …

Modeling energy-efficient building loads using machine-learning algorithms for the design phase

FE Sapnken, MM Hamed, B Soldo, JG Tamba - Energy and Buildings, 2023 - Elsevier
Very little work has been done on the feasibility of Machine Learning (ML) for predicting
buildings energy demand right at the design stage. This feasibility, if proven, would help to …

Electroencephalogram signals for detecting confused students in online education platforms with probability-based features

T Daghriri, F Rustam, W Aljedaani, AH Bashiri, I Ashraf - Electronics, 2022 - mdpi.com
Online education has emerged as an important educational medium during the COVID-19
pandemic. Despite the advantages of online education, it lacks face-to-face settings, which …

[HTML][HTML] Performance analysis of machine learning algorithms and screening formulae for β–thalassemia trait screening of Indian antenatal women

R Das, S Saleh, I Nielsen, A Kaviraj, P Sharma… - International Journal of …, 2022 - Elsevier
Background Currently, more than forty discrimination formulae based on red blood cell
(RBC) parameters and some supervised machine learning algorithms (MLAs) have been …

A health assessment method with attribute importance modeling for complex systems using belief rule base

Z Lian, ZJ Zhou, CH Hu, J Wang, CC Zhang… - Reliability Engineering & …, 2024 - Elsevier
In the health assessment for complex systems, system attributes refer to the indicators or
components having an impact on the health state of the system. When assessing the health …

Machine learning-based detection of dengue from blood smear images utilizing platelet and lymphocyte characteristics

H Mayrose, GM Bairy, N Sampathila, S Belurkar… - Diagnostics, 2023 - mdpi.com
Dengue fever, also known as break-bone fever, can be life-threatening. Caused by DENV,
an RNA virus from the Flaviviridae family, dengue is currently a globally important public …

Synthesis of synthetic musks: A theoretical study based on the relationships between structure and properties at molecular scale

X Li, H Yang, Y Zhao, Q Pu, T Xu, R Li, Y Li - International Journal of …, 2023 - mdpi.com
Synthetic musks (SMs), as an indispensable odor additive, are widely used in various
personal care products. However, due to their physico-chemical properties, SMs were …

Heart failure survival prediction using novel transfer learning based probabilistic features

AM Qadri, MSA Hashmi, A Raza, SAJ Zaidi… - PeerJ Computer …, 2024 - peerj.com
Heart failure is a complex cardiovascular condition characterized by the heart's inability to
pump blood effectively, leading to a cascade of physiological changes. Predicting survival in …

GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning

FT Kurniati, DHF Manongga, E Sediyono… - arXiv preprint arXiv …, 2024 - arxiv.org
In the era of modern technology, object detection using the Gray Level Co-occurrence Matrix
(GLCM) extraction method plays a crucial role in object recognition processes. It finds …