Oncology Nurse Advisor

Machine Learning Model Predicts Nutritional Risk in Nasopharyngeal Carcinoma

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
GitHub

Heart Disease Classification using Machine Learning Algorithms (SVM, MLP, Random Forest) for Medical Diagnosis

This project demonstrates the application of various machine learning algorithms for heart disease classification. By comparing the performance of SVM, MLP, and Random Forest models, we can determine ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
GitHub

Tweet Classification with Machine Learning

tweet_classification/ │ ├── data/ # CSV dataset files │ └── labeled_data.csv │ ├── models/ # Contains each model's training function │ ├── knn_model.py │ ├── svm_model.py │ ├── ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
Scientific Research Publishing

Adugna, T., Xu, W., & Fan, J. (2022). Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images ...

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 ...
Scientific Research Publishing

El-Omairi, M.A., El Garouani, M. and El Garouani, A. (2025) Enhanced Lithological Mapping via Remote Sensing: Employing SVM, Random Trees, ANN, with MNF and PCA Transformations ...

ABSTRACT: In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat ...
IEEE

Using Random Forest and Linear SVM for Dyslexia Classification on Hebb-Williams Mazes

Abstract: Dyslexia is a learning disability that negatively impacts an individual's ability to read, write, spell, and sometimes speak. It results in difficulties in recognizing and decoding words and ...
Auburn Reporter

Locals bundle up to support National Park Service, Forest Service employees

Eleven demonstrators gathered near Crystal Mountain Resort to protest recent budget cuts and job terminations that will affect Mount Rainier National Park, local trails, and campsites. Eleven ...