Abstract: Information technology growth brings vast time-series data. Despite richness, challenges like redundancy emphasize the need for time-series data fusion research. Rough set theory, a valuable ...
Abstract: Given the growing significance of data-driven approaches in analysis and decision-making in smart grid, the availability of diverse and representative datasets is paramount. However, ...
LONDON, Dec 12 (Reuters) - As AI fever has propelled global stocks to record highs, the data centres needed to power the technology are increasingly being financed with debt, adding to concerns about ...
03 Nov 2019, Siteng Huang, et al.
This project implements a distributed machine learning pipeline to predict flight arrival delays with a Mean Absolute Error (MAE) of approximately 8 minutes. The ...
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