Abstract: Linear time-varying differential equations that arise in the study of model reference adaptive identification problems are studied in both the continuous-time and the discrete-time ...

Activation functions are essential components in any neural network model; they play a crucial role in determining the network’s expressive power through their introduced non-linearity. Rectified ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert ...

In contemporary South Asian crises, velocity matters more than military power. Velocity means how fast responsibility is ...

AI optimizes injection molding beyond human understanding, creating new challenges for process control and failure recovery.

Constructing a Model for Identifying Young Educational Leadership Talent in Local Universities: A Differentiated Career ...