Enhanced stacking ensemble Model: A statistical ensemble pruning framework to classify anxiety severity for responsive emergency preparedness

G Anitha, JML Manickam, SK Mohan - Biomedical Signal Processing and …, 2024 - Elsevier
Early anxiety prediction is essential because it facilitates the delivery of timely and
appropriate medical services. Despite the recent development of a variety of severity scores …

[HTML][HTML] A Comparative Study of Machine Learning Models with LASSO and SHAP Feature Selection for Breast Cancer Prediction

MSH Shaon, T Karim, MS Shakil, MZ Hasan - Healthcare Analytics, 2024 - Elsevier
In recent decades, breast cancer has become the most prevalent type of cancer that impacts
women in the world, which shows a significant risk to the death rates of women. Early …

[PDF][PDF] Adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) for predicting the kinematic viscosity and density of biodiesel-petroleum …

Y Kassem, H Çamur, KE Bennur - American Journal of Computer …, 2018 - researchgate.net
Biodiesel is considered as an alternative source of energy obtained from renewable
materials. In the present paper, the investigation of the applicability of adaptive neuro-fuzzy …

[PDF][PDF] Artificial Corona algorithm to solve multi-objective programming problems

AY Gebreel - American Journal of Artificial Intelligence, 2022 - researchgate.net
Multi-objective optimization is a branch of mathematics used in a large range of applications.
It deals with optimization problems involving two or more conflicting objective functions to be …

[PDF][PDF] An Efficient Phishing Website Detection Plugin Service for Existing Web Browsers Using Random Forest Classifier

AM John-Otumu, M Rahman… - American Journal of …, 2021 - researchgate.net
An efficient phishing website detection plugin service was developed using machine
learning technique based on the prevalent phishing threat while using existing web …

AGD-Autoencoder: attention gated deep convolutional autoencoder for brain tumor segmentation

T Cvetko - arXiv preprint arXiv:2107.03323, 2021 - arxiv.org
Brain tumor segmentation is a challenging problem in medical image analysis. The endpoint
is to generate the salient masks that accurately identify brain tumor regions in an fMRI …

[PDF][PDF] Intelligent Coaching Agent for Enhancing Proactive Behaviors in Human Teamwork Using Supervised Learning Algorithm

CU Betrand, SO Anigbogu, OU Ekwealor… - American Journal of …, 2022 - researchgate.net
Teamwork has been one of the effective responses to the changes over the years in the
world of today. Teamwork is being relied upon as a preferred performance arrangement to …

What Disruptive Technologies Mean For New Healthcare Services

Z Lathifa - Sage Science Review of Applied Machine …, 2022 - journals.sagescience.org
The standard of medical care has risen as a result of the industry's rapid adoption of
disruptive technology. When healthcare technologies are truly disruptive, they usher in new …

[PDF][PDF] Next Generation of Process Monitoring and Diagnostics: Applications of AI and Machine Learning to Enable Early Equipment Fault Prediction and Diagnostics

K Ghosh, GK Sivaprakasam… - American Journal of …, 2022 - scholar.archive.org
Several rotating equipment such as–centrifugal pumps and positive displacement pumps
are extensively used in Water treatment plant for producing potable water from raw water …

Increasing the Ethnic and Cultural Diversity of Virtual Classrooms

A Gordon - 2022 - hcommons.org
In recent years, there has been a rise in interest in receiving an education online. Learning
that may be done outside of the traditional classroom setting, such as via the use of the …