A machine learning approach to predicting pervious concrete properties: a review

N Sathiparan, P Jeyananthan… - Innovative Infrastructure …, 2025 - Springer
This paper investigates the application of machine learning to predict the properties of
pervious concrete. Traditional methods like lab tests and formulas have limitations. Machine …

[PDF][PDF] Survival analysis approach for early prediction of student dropout using enrollment student data and ensemble models

FF Patacsil - Universal Journal of Educational Research, 2020 - academia.edu
Abstract The Universal Access to Quality Tertiary Education Act is a law in the Philippines
that provides college students with free tuition and other fees in Philippine state universities …

Detect, classify, and locate faults in DC microgrids based on support vector machines and bagged trees in the machine learning approach.

MH Ibrahim, EA Badran, MH Abdel-Rahman - IEEE Access, 2024 - ieeexplore.ieee.org
The DC microgrids possess numerous pros, including enhanced reliability, increased
efficiency, and a less complicated control system. Further, they provide a simplified system …

Predicting the Displacement Variation of Rehabilitated Foundation of Onshore Wind Turbines Using Machine Learning Models

X Zheng, Z Liu, X Gao, Z Song, C Chen, H Wei - Buildings, 2024 - mdpi.com
The rehabilitation of wind turbine foundations after damage is increasingly common.
However, limited research exists on the deformation of wind turbine foundations after …

A new ensemble classifier for multivariate medical data

MR Hasan, H Gholamhosseini… - 2017 27th International …, 2017 - ieeexplore.ieee.org
Selecting an efficient classifier for medical data is considered as one of the most important
part of today's computer aided diagnosis. The performance of single classifiers such as …

Performance evaluation of ensembles algorithms in prediction of breast cancer

GG Hungilo, G Emmanuel… - 2019 International …, 2019 - ieeexplore.ieee.org
Breast Cancer is the most dominant cause of mortality in women. Early diagnosis and
treatment of the disease can stop the spreading of cancer in the breast. Due to this nature of …

[PDF][PDF] Detect, Classify, and Locate Faults in DC Microgrids Based on Support Vector Machines and Bagged Trees in the Machine Learning Approach

MH ABDEL-RAHMAN - 2024 - researchgate.net
The DC microgrids possess numerous pros, including enhanced reliability, increased
efficiency, and a less complicated control system. Further, they provide a simplified system …

Modeling Student's Churn in Higher Education in Bosnia and Herzegovina [védés előtt]

D Preradović Kulovac - 2025 - phd.lib.uni-corvinus.hu
This research aims to reduce dropout rates in higher education by developing a machine
learning model to predict churn early, enabling timely interventions. The most important …

Machine Learning for Green Smart Health Toward Improving Cancer Data Feature Awareness

MR Hasan, NHS Alani, R Hasan - Computational Intelligence Techniques …, 2022 - Springer
Radiation therapy and chemotherapy may be considered life-saving treatments for cancer
patients. Though this treatment is not always successful, it left very higher effects on our …

[PDF][PDF] Efficient dynamic perturbation technique in privacy preserving data mining using ensemble classification for health care dna data

P Chandrakanth - 2020 - dspace.pondiuni.edu.in
It is my great pleasure and privilege to express my deep sense of gratitude to my supervisor
Dr. MS Anbarasi, Assistant Professor (Senior Grade), Department of Information Technology …