Juniper Networks had one patents in internet of things during Q1 2024. Juniper Networks Inc filed a patent for a device that processes time series data using machine learning models to generate future predictions. The device can adjust the quantity of steps into past and future data utilized for predictions, and can merge non-overlapping predictions into a list for display. GlobalData’s report on Juniper Networks gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Juniper Networks had no grants in internet of things as a theme in Q1 2024.
Recent Patents
Application: Utilizing an ensemble-based machine learning model architecture for long term forecasting of data (Patent ID: US20240095603A1)
The patent filed by Juniper Networks Inc. describes a method and device for processing time series data using machine learning models to generate future predictions. The device defines quantities of steps into past data, future predictions, and steps to skip, determining whether they are equal. If equal, non-overlapping future predictions are generated, merged into a list, and displayed. If not equal, overlapping future predictions are generated. The method also includes averaging overlapping predictions and merging them into another list for display.
The device includes processors and memories to receive time series data, define quantities of steps, and process data with machine learning models to generate future predictions. Different types of machine learning models are used, including autoregressive integrated moving average, long short-term memory, and probabilistic models. The device can train the models to perform various tasks and merge future predictions by applying weights to generate a list. The patent also covers a non-transitory computer-readable medium storing instructions for the device to process time series data, generate future predictions, and display them, with a focus on training machine learning models and utilizing different types of models for prediction tasks.
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