A research team at Texas A&M University is studying the use of Siri-like virtual assistant technology for use in space. The ...

Hertz and other agencies are increasingly relying on scanners that use high-res imaging and A.I. to flag even tiny blemishes, and customers aren’t happy.

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Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

In the vibrant setting of its global customer REV event in Miami, JAGGAER today introduced to customers and partners its latest bold leap forward in enterprise procurement transformation. JAI, ...

In today’s increasingly digital economy, utility providers — whether delivering electricity, gas, water, or broadband — ...

This paper introduces QAED(Quantized Auto Encoder Detector), a novel deep learning approach for anomaly detection in 5G networks with three key innovations: 1) a vector quantization mechanism that ...

Anomaly detection is an important task for medical image analysis, which can alleviate the reliance of supervised methods on large labelled datasets. Most existing methods use a pixel-wise ...

Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...

Data scientists working with time series data often find themselves navigating a fragmented landscape of tools. Typically, a different library is needed for each step: Pandas for preprocessing, ...