



Collects, processes, and displays geographic information system data and images, including GPS and satellite imagery, in order to create geographic models and data images for more accurate modeling and forecasting of trends. Placing data within its geography can provide insights that would not be immediately apparent when analyzed with traditional data imaging methods.
Autonomous systems are technological frameworks that can execute specific tasks, adapt to environmental changes, and make independent decisions without direct human control or intervention. Utilizing sensors, artificial intelligence algorithms, machine learning, and data analytics capabilities, these systems perceive their environment, assess situations, and take appropriate actions.
TinyML (Tiny Machine Learning) is a technology that enables machine learning models to be run on resource-constrained microcontrollers and embedded devices.
Autoregressive models are a powerful method used especially in artificial intelligence and time series analysis. These models are developed to predict future values using historical data.
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We were able to increase the data processing speed by 13 times on average and 30 times at maximum with this project.
