From public safety and urban mobility to manufacturing automation, environmental monitoring, and healthcare diagnostics, video sensors are enabling transformative capabilities across the global ...

There was an error while loading. Please reload this page. A collection of papers on anomaly detection (tabular data/time series/image/video/graph/text/log) with the ...

This article introduces an Adversarial Regularized Graph Autoencoder (ARGAE) enhanced by a multiscale Chebyshev Convolutional (ChebConv) encoder (MSCE) (ARGAE-MSCE), designed for unsupervised anomaly ...

Therefore, in this article, we present detailed results of work on the concept of granular computing-based approach to anomaly detection, classification, and gradation. The aim of the study is to ...

Anomaly detection plays a critical role in identifying and addressing irregularities, such as pest outbreaks, disease spread, or nutrient deficiencies, that can negatively impact yield. Traditional ...

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Compared with traditional object detection methods, the instance segmentation method can provide more detailed fruit contour information. This is crucial for precise robot picking because accurate ...

Custom YOLOv8 model for detecting and classifying car body damage—optimized for fast inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.