In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, Euclidean surfaces. From 3D medical scans to robot orientations and AI ...

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ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...

This repository contains a Python-based automated outlier detection framework. It is designed to process datasets containing numerical time-series data and detect anomalies using various statistical ...

Ask the publishers to restore access to 500,000+ books. The Internet Archive keeps the record straight by preserving government websites, news publications, historical documents, and more. If you find ...

Note to readers: The News-Press and Naples Daily News recently caught up with Amy Siewe, famously known as the Python Huntress. Siewe gave a lecture at J.N. Ding Darling National Wildlife Refuge on ...

DeepOD is an open-source python library for Deep Learning-based Outlier Detection and Anomaly Detection. DeepOD supports tabular anomaly detection and time-series anomaly detection. DeepOD includes 27 ...

The depression over Southwest Bay of Bengal is expected to intensify into cyclonic storm ‘Fengal’ by 29 th November. There is a possibility of marginal intensification of the deep depression into a ...

Abstract: Outliers can contaminate the communication and measurement processes of many wireless sensor networks (WSNs) systems, which may be induced by environmental disturbances, model uncertainties ...