Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

AI-Based Bone Metastasis Detection System with Machine Learning Classification and Streamlit Web Interface. BoneScanCEP/ ├── analysis.py # Core image processing & feature extraction ├── DIPCEP.py # ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

After a successful first season under Head Coach Jake Dickert, Wake Forest Football culminated its 2025 season with a bowl win (and a mayo bath!). However, in the never-ending cycle of collegiate ...

Three large pythons were spotted in Forest Park, Queens earlier this week. So far, only one of them has been caught. Animal rescuer Meagan Licari recovered the 4-foot ball python. "We named him Kevin.

ABSTRACT: Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

Supervised Machine Learning using SciKit and other tools to do PCA, SVM, random forests, etc. for facial recognition and predictive decision making.

Abstract: Multi-class classification presents a significant challenge in supervised machine learning, and it is frequently applied across various real-world domains. Random Forest (RF) stands out as a ...