In this era of data-driven innovations, the demand for diverse, high-quality, reliable data is constantly rising. However, accessing and utilizing real-world data can often be challenging due privacy ...

EDA techniques can help you translate your data into useful and actionable insights. Discover how top analysts uncover patterns, eliminate errors, and prepare data for high-performing AI models. From ...

This article is not about ethics, privacy, security, ownership, or corporate governance — I am going to circumvent all of this here by using some made-up data relating to supermarket sales: Here, I ...

The raw data are stored as 16-bit TIFF (*.tif) files, with each file containing a sequence of auroral images acquired at a cadence determined by the camera exposure settings. For each hour of ...

This repository contains the source code, scripts, and supplementary materials for the paper: "A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder ...

Parkinson's Disease (PD) is the second most common age-related neurological disorder that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its symptoms are quite ...

Generative AI has gained significant attention in the tech industry, with investors, policymakers, and the society at large talking about innovative AI models like ChatGPT and Stable Diffusion.

1 Electronics and Communications Department, Al-Safwa High Institute of Engineering, Qalyubia, Egypt. 2 Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, ...

PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...