Machine learning model improves accuracy of liquid biopsy results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...

The weather and climate science AI revolution isn’t revolutionary

But AI is being used in these fields through techniques that researchers have studied for years and whose strengths and ...

Autonomous AI screening flags unreliable Lyme test results, boosting sensitivity to 95.7%

Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside ...
IEEE

Research on Intelligent Evaluation of Pear Fruit Quality Based on Machine Learning

Abstract: This study proposes a PCA-machine learning fusion model to address the inefficiency and subjectivity of traditional pear quality evaluation. A standardized dataset was constructed by ...
GitHub

GitHub - Pagnoncelliander/Email_Classification: Organize, prepare, classify using PCA, standardization, and normalization, and apply the appropriate machine learning method for ...

PCA was applied to reduce the dimensionality, and StandardScaler was used for data normalization. For machine learning, I tested multiple models to achieve 99% accuracy. The Random Forest model, which ...
GitHub

BabakBasharirad/breast-cancer-detection-tpm

Breast cancer is one of the most common cancers worldwide. In this project, we leverage RNA-Seq data to classify cancerous and non-cancerous tissue samples using machine learning. The main goal is to ...
IEEE

A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders

Abstract: Cyberattacks, especially data injection attacks, are becoming more common as smart grids are increasingly interconnected. In addition, accurate and unbiased high-quality data is required for ...