Abstract: Traffic visibility detection plays a vital role in intelligent transportation, autonomous driving, safe driving, etc. Convolutional neural networks (CNNs) based regression and classification ...

Abstract: Low-cost radio-based distance measurement devices, (like) such as ultrawideband (UWB) and Zigbee, are limited by transmission power and environmental noise interference, resulting in bias ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

David Pardoe and Peter Stone.

A newly released staff interim report from the U.S. Senate Permanent Subcommittee on Investigations alleges that federal ...

Gleanmer combines Gaussian-based mapping with dedicated hardware to reduce memory and power demands for real-time autonomous ...

Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor ...