Time Series Prediction,Multivariate Time Series,Time Series,Auxiliary Task,Deep Learning,Forecasting Model,Generative Adversarial Networks,Loss Function,Multi-task ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Climate change poses significant economic, social, political and environmental challenges, with impacts more effective on dry areas. This research presents an analysis o ...
Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
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