Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.

Time-dependent driving has become a powerful tool for creating novel nonequilibrium phases such as discrete time crystals and ...

Physical systems become inherently more complicated and difficult to produce in a lab as the number of dimensions they exist ...

Abstract: In this letter, a novel discrete active disturbance rejection control (ADRC) method is proposed to solve the trajectory tracking problem for a four-mecanum-wheeled mobile vehicle (FMWMV).

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...

EfficientZero V2 is a general framework designed for sample-efficient RL algorithms. We have expanded the performance of EfficientZero to multiple domains, encompassing both contin- uous and discrete ...

This is a PyTorch/GPU implementation of the paper Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation: @article{wang2025bridging, title={Bridging Continuous and Discrete ...

Companies must pay as much attention to the hard side of change management as they do to the soft aspects. By rigorously focusing on four critical elements, they can stack the odds in favor of success ...

The probability density function of a uniform random variable looks like a horizontal line segment over the support. This indicates that for any interval of a given length within the support, the ...

Abstract: In the continuous-variable quantum key distribution (CV-QKD) system, the secret key rate (SKR) and transmission distance are important factors to evaluate the quality of system. Numerical ...