This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...
TL;DR: Valve's Steam Machine, a PC-console hybrid launching next year, targets 4K 60FPS but can output 4K at 120Hz via HDMI 2.0 with reduced color quality and no HDR. Equipped with DisplayPort 1.4, it ...
Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...
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Discovered in 1985, the HI field lies about 50 kilometers offshore in 100 meters of water and holds an estimated 285 million barrels of oil equivalent in recoverable resources. The development is ...
Abstract: Heart attacks are a prominent source of morbidity and mortality globally, demanding the development of precise and efficient predictive models for early identification and risk ...
Shell is preparing to start production of liquefied natural gas from the second train at its installation in British Columbia, set to boost the total output from the facility by 6.5 million tons. The ...
NORFOLK, Va. — The U.S. Secretary of Transportation joined Governor Glenn Youngkin on Wednesday to mark a milestone for the Hampton Roads Bridge-Tunnel Expansion Project. Mary, the massive tunnel ...
PARIS, Sept 22 (Reuters) - A record level of global nuclear power production seen in 2024 will be hard to maintain in the coming years due to a lack of required investment, aging plants and project ...
Abstract: In this paper, we showcase the efficiency of machine learning (ML) algorithms to predict fractal antenna output response metrics. Radial basis function and least squared regression ...
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