SinoXivCurrent phytopathological diagnostic systems rely on manual inspections or laboratory analyses, which delay early detection and limit in-field responsiveness. Phytopathogenic fungal diseases pose a pe...
Timely and accurate electricity price forecasting is essential for the efficient operation of competitive electricity markets. However, predicting day-ahead electricity prices remains challenging due ...
The growing prevalence of diabetes highlights the need for scalable, accurate, and privacy-conscious testing technologies. To train models, traditional machine learning (ML) techniques often rely on c...
Deep neural networks (DNNs) are increasingly critical to embedded and cyber–physical systems that demand strict real-time guarantees. However, the computational intensity of modern DNNs often exceeds ...
Neuromorphic computing based on artificial synapses requires devices capable of gradual, repeatable, and energy-efficient conductance modulation. Ionically gated transistors are promising candidates b...
The transition from effortful to automatic processing is a defining feature of skill acquisition, and converging evidence implicates theta-gamma phase-amplitude coupling as the neural signature of thi...
This study investigates the hydrochemical characteristics and controlling factors of water quality along the Axios River (Northern Greece) using a combination of statistical methods and artificial neu...
The Caudrey-Dodd-Gibbon (CDG) equation, a core constituent of the fifth-order Korteweg-de Vries (KdV)-type nonlinear wave equations, possesses exact solutions that are of pivotal significance for eluc...
