Cauchy non-convex sparse feature selection method for the high-dimensional small-sample problem in motor imagery EEG decoding

IntroductionThe time, frequency, and space information of electroencephalogram (EEG) signals is crucial for motor imagery decoding.However, these temporal-frequency-spatial features are high-dimensional small-sample data, which poses significant challenges for motor imagery decoding.Sparse regularization is an effective method for addressing this i

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Carbon flow and management in regional rice production in Thailand

This research aims to study the Carbon (C) flow, stock and management in rice production system, including rice cultivation, rice processing and management of rice by-products.The study boundaries are the rice production systems of four districts in Phayao province and the assessment technique is Material Flow Analysis (MFA).The results show that t

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Existence and Global Exponential Stability of Equilibrium Solution to Reaction-Diffusion Recurrent Neural Networks on Time Scales

The existence of equilibrium solutions to reaction-diffusion recurrent neural networks with Dirichlet boundary conditions on time scales is proved by the Bike Accessories - Trailers topological degree theory and M-matrix method.Under some sufficient conditions, we obtain the uniqueness and global exponential stability of equilibrium solution to rea

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