A comparative study of machine learning methods for identifying the 15 CIE standard skies

EI Aghimien, DHW Li, EKW Tsang… - Journal of Building …, 2024 - journals.sagepub.com
For energy-efficient building designs, the solar irradiance and daylight illuminance derived
from the CIE standard skies are useful. Over time, the sky luminance distributions have been …

Research on Imbalanced Data Regression Based on Confrontation

X Liu, H Tian - Processes, 2024 - mdpi.com
The regression model has higher requirements for the quality and balance of data to ensure
the accuracy of predictions. However, there is a common problem of imbalanced distribution …

Integromics: Tracking the Multi-omic Expanse in Theragnostics

S Srivastav, Lavanya, A Avasthi, N Kaur… - Microbial Omics in …, 2024 - Springer
Complex diseases cause immense burden on health management systems, with potentially
higher rates of late or wrong diagnosis leading to mortality. The heterogeneous nature of the …

Comparative Analysis of Classical and Quantum Machine Learning for Breast Cancer Classification

M De, A Jaiswal, T Dixit - Computational Intelligence and …, 2024 - taylorfrancis.com
Breast cancer, the unruly development of abnormal cells in breasts, is a pressing public
health issue and needs early detection for improving survival rates. Machine learning …

[PDF][PDF] Class Prediction of High-Dimensional Data with Class Imbalance: Breast Cancer Gene Expression Data

GN Nyakundi, J Ndiritu, JM Ivivi, T Kamanu - 2024 - researchgate.net
Breast cancer remains a leading cause of mortality among women worldwide, with early and
accurate diagnosis being critical for effective treatment. Gene expression profiling has …