Prediction of Uniaxial Strength of Rocks Using Relevance Vector Machine Improved with Dual Kernels and Metaheuristic Algorithms

Calibration of contact parameters of sandy soil for planting tiger nut based on non-linear tools

“…Furthermore, machine learning techniques have found extensive applications in engineering. For instance, references [16][17][18] demonstrate modeling using the cosine amplitude method, and relevant algorithms were then employed to analyze and predict various engineering issues. Simultaneously, numerous machine learning studies to solve engineering problems have proposed several valuable and innovative designs [19][20][21][22] .…”