Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect ...
Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...
Since 2019, the world has experienced a major outbreak of infectious disease caused by a novel coronavirus, first identified in Wuhan, Hubei Province, China. Through extensive scientific research and ...
ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...
A NEWLY published retrospective study has shown that AI, particularly deep-learning algorithms, can significantly reduce the rate of misdiagnosis in paediatric elbow fractures. The study analysed 755 ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
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 ...
1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China 2 College of Geophysics, Chengdu University of Technology, Chengdu, China ...
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