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Machine learning revolutionizes design of green solvents for carbon capture: a new era for ionic liquid development

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
IEEE

Adaptive Kernel Optimization for Probabilistic Learning: Integrating Support Vector Machines with Gaussian Process Frameworks

Abstract: With its robust capabilities for non-linear regression and classification, kernel-based learning has emerged as a fundamental component of state-of-the-art machine learning approaches. In ...
IEEE

Machine Learning-Driven Prediction of Ship Maneuvering Dynamics Using Gaussian Process Regression

Abstract: The accurate prediction of ship movement is important for optimization of port operations, minimizing delays and enhancing safety. This paper is regarding a novel data oriented machine ...