North Dakota State University researchers are working to identify a tool that producers can use to identify sheep or goats ...

Instacart said Monday it would end the use of an AI-powered tool that allowed retailers to charge customers different prices for identical items on the grocery delivery platform.

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

Pose Estimation, Golf Swing Analysis, Computer Vision, YOLO Pose, MediaPipe Pose, Sports Analytics, OKS Metric, Human Motion Analysis Share and Cite: Yuan, A. and Ndongmo, B. (2026) On the Utility of ...

Discover how efficiency variance reveals the gap between expected and actual inputs in production and its impact on labor, materials, and costs.

1School of Public Administration, University of New Mexico, Albuquerque, New Mexico. 2College of Population Health, University of New Mexico Health Sciences Center, Albuquerque, New Mexico.

Learn how Value at Risk (VaR) predicts possible investment losses and explore three key methods for calculating VaR: ...

A line evaluation trial, comprising of the 30 parental lines of the 150 experimental hybrids, was formed and laid out as a 3 × 10 alpha-lattice design with two replications. Each experimental unit ...

Inherently-beneficial uses meet the statutory test as to whether there are special reasons for the variance, by their nature. But otherwise, the applicant must show that particular suitability of its ...

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ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.