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Found 3 papers, 2 papers with code
Citizen participation: crowd-sensed sustainable indoor location services
In the present era of sustainable innovation, the circular economy paradigm dictates the optimal use and exploitation of existing finite resources.
Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series
The keypoints of our methodology are: a) transform the task to regression on sales for a single day b) information rich feature engineering c) create a diverse set of state-of-the-art machine learning models and d) carefully construct validation sets for model tuning.
Analyze Mass Spectrometry data with Artificial Intelligence to assist the understanding of past habitability of Mars and provide insights for future missions
This paper presents an application of artificial intelligence on mass spectrometry data for detecting habitability potential of ancient Mars.
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