Game theory has become an important tool to study the competition between oligopolistic enterprises.After combing the existing literature, it is found that there is no research combining two-stage game and nonlinear dynamics to analyze the competition between enterprises for advertising.Therefore, this paper establishes a two-stage game model to di
Ecosystem modelling based on 7-OH membrane computing is emerging as a powerful way to study the dynamics of (real) ecological populations.These models, providing distributed parallel devices, have shown a great potential to imitate the rich features observed in the behaviour of species and their interactions and key elements to understand and model
As the number of urban electric vehicles continues to increase, accurate prediction of the electric vehicle (EV) spatial and temporal distribution charging demand is of great importance for safely operating the power grid.Due to the uncertainty and variability of EV user Bobble Head charging and discharging strategies, the strategic factors behind
This study aims to implement a system-on-chip (SoC) detection system for tool wear monitoring and alarms for high-precision machining processes.The proposed deep learning approach is trained by the collected sensors from Rolling Papers real performed in a three-axial computer numerical control (CNC) machine center combined with different conditions