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This paper presents an optical weight measurement system utilizing Fiber Bragg Gratings (FBGs) and machine learning algorithms to enhance accuracy and measurement range. The system employs four FBG-based load cells and analyzes their performance using models such as Linear Regression, Support Vector Machines, Neural Networks, and Gaussian Process Regression, with GPR yielding the best results. The approach aims to improve the practicality of weight measurement systems by addressing limitations of traditiona

Author

rayanubhab9915

Language

EN