Abstract: For hyperspectral subpixel target detection tasks, conventional mixing model (CMM) is one of the most intensively used models. Despite the flexibility of CMM in terms of mixing coefficient, ...
Abstract: Accurate electromagnetic modeling and analysis are crucial for the design optimization of tubular permanent magnet linear synchronous motors (TPMLSMs). This article proposes a new ...
$$y = X\beta + \epsilon \qquad \text{where } \epsilon \sim N(0, \sigma)$$ We'll simulate data, solve it analytically, then learn to solve it with gradient descent ...
Perception-based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to ...
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