A comprehensive survey on the process, methods, evaluation, and challenges of feature selection

MR Islam, AA Lima, SC Das, MF Mridha… - IEEE …, 2022 - ieeexplore.ieee.org
Feature selection is employed to reduce the feature dimensions and computational
complexity by eliminating irrelevant and redundant features. A vast amount of increasing …

Development of an interpretable machine learning model associated with heavy metals' exposure to identify coronary heart disease among US adults via SHAP …

X Li, Y Zhao, D Zhang, L Kuang, H Huang, W Chen… - Chemosphere, 2023 - Elsevier
Limited information is available on the links between heavy metals' exposure and coronary
heart disease (CHD). We aim to establish an efficient and explainable machine learning …

Decision Tree Simplification Through Feature Selection Approach In Selecting Fish Feed Sellers

EN Fitri, S Winarno, F Budiman… - Jurnal Teknik …, 2023 - jutif.if.unsoed.ac.id
Feed is a crucial variable because it can determine the success of fish farming. Breeders
can use two types of artificial feed, namely alternative feed and pellets. Many cultivators …

DECODE: Data-driven energy consumption prediction leveraging historical data and environmental factors in buildings

A Mishra, HR Lone, A Mishra - Energy and Buildings, 2024 - Elsevier
Energy prediction in buildings plays a crucial role in effective energy management. Precise
predictions are essential for achieving optimal energy consumption and distribution within …

PERFORMANCE EVALUATION OF LINEAR DISCRIMINANT ANALYSIS AND SUPPORT VECTOR MACHINES TO CLASSIFY CESAREAN SECTION.

AA Abdillah, S Permana, I Susanto… - Eastern-European …, 2021 - search.ebscohost.com
Currently the hospital is a place that is very vulnerable to the transmission of Covid-19, so
giving birth in a hospital is very risky. In addition, the hospital currently only accepts …

LiFe5O8-based gas sensor: A machine learning approach for selective VOCs detection

S Nayak, SB Majumder, KP Thiruppathi… - Materials Chemistry and …, 2024 - Elsevier
This work presents the development of novel LiFe 5 O 8 micro-flowers through a single-step
microwave-assisted hydrothermal approach. LiFe 5 O 8 micro-flowers were used as a …

[HTML][HTML] BIM Product Style Classification and Retrieval Based on Long-Range Style Dependencies

J Cui, M Zang, Z Liu, M Qi, R Luo, Z Gu, H Lu - Buildings, 2023 - mdpi.com
The rapid increase in building components on the building information model (BIM) object
database has created new demand for BIM product recommendations to improve design …

Employee Attrition Prediction Using Feature Selection with Information Gain and Random Forest Classification

SF Sari, KM Lhaksmana - Journal of Computer System and …, 2022 - ejurnal.seminar-id.com
Employee attrition is the loss of employees in a company caused by several factors, namely
employees resigning, retiring, or other factors. Employee attrition of employees can have a …

Predictions of College Students' Mental Stress using Machine Learning Algorithms

G Mahalakshmi, G Sujatha - 2023 7th International Conference …, 2023 - ieeexplore.ieee.org
Mental stress is becoming a big problem, particularly among younger individuals. The
generation, which was previously regarded as being the easiest going is currently …

DHF incidence rate prediction based on spatial-time with Random Forest extended features

E Ashok, SS Prasetiyowati, Y Sibaroni - Jurnal RESTI (Rekayasa …, 2022 - jurnal.iaii.or.id
This study proposes a prediction of the classification of the spread of dengue hemorrhagic
fever (DHF) with the expansion of the Random Forest (RF) feature based on spatial time …