This feature—Adaptive AI Anomaly Detection—automatically detects and identifies hidden, multi-dimensional data anomalies and patterns that a human may miss, improving business operations and AI agent ...

As part of its long-term environmental goals, Sify aims to power the Siruseri data centre entirely with renewable energy and manage it using sustainable building management practices, setting a ...

The Price to Earnings (P/E) ratio, a key valuation measure, is calculated by dividing the stock's most recent closing price by the sum of the diluted earnings per share from continuing operations ...

UB classifies data into three risk-based categories to regulate access to, use of, and necessary precautions required to the protect university data. This policy provides a classification framework ...

YOLOv3 and YOLOv4 implementation in TensorFlow 2.x, with support for training, transfer training, object tracking mAP and so on... Code was tested with following ...

Abstract: In autonomous driving, accurate 3D lane detection using monocular cameras is important for downstream tasks. Recent CNN and Transformer approaches usually apply a two-stage model design. The ...

A clear understanding of data flow is key to managing data in a way that supports your business goals. The key components of data flow are: A common way to visualize data flow is through data flow ...

To solve the alarming problem and prevent such unfathomable consequences, traffic violation detection ... action using the GUI. The vehicles are detected using YOLOv3 model. After detecting the ...