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 ...
A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...
The final, formatted version of the article will be published soon. Abstract—Globally, subtle hydrocarbon reservoirs in petrolifer ous basins have always been challenging targets for exploration r ...
Abstract: Learning from Demonstration (LfD) has emerged as a crucial method for robots to acquire new skills. However, when given suboptimal task trajectory demonstrations with shape characteristics ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
A global research team led by scientists from China’s Tianjin Renai College has developed a novel stochastic optimization technique for enhanced dispatching and operational efficiency in PV-powered ...
1 State Grid Anhui Electric Power Co., Ltd., Hefei, China 2 School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China Since renewable energy generation has strong ...
Abstract: Motivated by decentralized sensing and policy evaluation problems, we consider a particular type of distributed stochastic optimization problem over a network, called the online stochastic ...
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