IEEE

Two-Stage Hybrid Feature Selection: Integrating ACO Algorithms With a Statistical Ensemble Technique for EV Demand Prediction

Abstract: This paper presents a novel hybrid algorithm combining Ant Colony Optimization (ACO) and multi-model ensemble feature selection techniques to enhance the accuracy of Support Vector ...
Digital Production

Katana 9 deepens USD and previews Hydra 2

Katana 9 with UsdSuperLayer brings native USD editing and Hydra 2 viewer support to Foundry Katana for lighting pipelines.
InfoWorld

First look: Run LLMs locally with LM Studio

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.
GitHub

Python library for interacting with the Solvecaptcha API (captcha-solving service)

A simple and efficient method to integrate the Solvecaptcha captcha-solving service into your code, enabling the automation of solving various types of captchas. Examples of API requests for different ...
IEEE

MI-MCF: A Mutual Information-Based Multilabel Causal Feature Selection

Abstract: Multilabel causal feature selection has attracted extensive attention in recent years. Current multilabel causal feature selection algorithms typically employ existing Markov Blanket (MB) ...
GitHub

prabhakar72037-Jin/Cardio_Vascular_Disease_and_Hypertension_Prediction_using_XG_Boost_and_Random_Forest

A comprehensive machine learning system for predicting Cardiovascular Disease (CVD) and Hypertension (HT) risk using ensemble methods with SHAP-based explainability.