AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...
Functionality: It will take a video file (or webcam feed) and highlight regions of motion by calculating the absolute difference between the current frame and a reference/background frame. Relevance: ...
More than 800 U.S. TikTok users shared their data with The Washington Post. We used it to find out why some people become power users, spending hours per day scrolling. Each circle in the chart ...
Abstract: Accurate demand forecasting in human resource management is crucial for optimizing resource allocation and improving organizational efficiency. This study proposes a hybrid algorithm ...
Abstract: This paper introduces the Fine-Grained Forward-Forward Algorithm (FGFF), a novel backpropagation-free network training methodology that builds upon the foundational Forward-Forward algorithm ...
This project is a machine learning app that predicts heart disease risk using the UCI Heart Disease Dataset. It applies data preprocessing, PCA, and a trained model to generate predictions, and ...