Whether they are laundry detergents, mascara, or Christmas chocolate, many everyday products contain fatty acids from palm ...
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
An international research group has conducted a literature review of capital expenditure-driven levelized cost of electricity optimization strategies for utility-scale PV systems. Tracking ...
Abstract: This paper presents a Fuzzy logic-based train control algorithm designed to enhance energy efficiency across a complete railway route. The proposed framework dynamically integrates practical ...
Actively Developing: In the long term, we aim to develop a comprehensive physics simulator focused on real-to-sim, serving as an easy-to-use platform for XR, VR, and robotics applications. Feel free ...
Abstract: The growing adoption of augmented reality (AR) and virtual reality (VR) devices has brought significant challenges in energy optimization due to their high computational and graphical ...
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 ...
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