The objective of this project is to develop a method based on Machine Learning algorithms to detect traffic accidents in real-time with the use of traffic cameras. Early accident detection systems can ...

Abstract: Over 80% of mishaps are caused by a lack of identifying the accident on time ... Based on the performance of machine learning algorithms, comparative analysis is performed and the results ...

One key part of Microsoft’s big bet on machine learning is ... engine that selects a detection model that fits the time-series data being used. By choosing an algorithm at runtime, Microsoft ...

Other use cases are being explored, ranging from image generation to disease detection ... machine learning works, followed by a short guide to implementing and training a machine learning algorithm.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products ... to brake to prevent an accident. The study was published ...

In recent years, machine learning (ML ... pattern revealing, anomalies detection, and many more. However, ML algorithms can sometimes produce biased output that may be very unjust and offensive ...