Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

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

The Trump administration, which took a noninterventionist approach to artificial intelligence, is now discussing imposing oversight on A.I. models before they are made publicly available. By Tripp ...

To develop a non-invasive diagnostic method for pelvic chondrosarcoma using clinical and radiological features, aiming to improve early diagnostic accuracy and reduce reliance on invasive biopsies.

A data-driven clinical decision support tool demonstrating the end-to-end deployment of a machine learning pipeline using Python, PyCaret, and Streamlit.

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, ...

EV Sales Prediction in India using Machine Learning. Forecasts electric vehicle sales across Indian states with interactive visualizations and a modern web UI.

Abstract: Early and accurate detection of eye diseases is essential for preventing vision loss. This paper proposes a hybrid model that combines ResNet50 for feature extraction and Random Forest (RF) ...