Parkinson's Disease (PD) is a progressive nervous system disorder that h...
This paper introduces a structure-deformable land-air robot which posses...
The convective Allen-Cahn equation has been widely used to simulate
mult...
Reinforcement learning (RL) has exceeded human performance in many synth...
Kripke models are useful to express static knowledge or belief. On the o...
Statistic modeling and data-driven learning are the two vital fields tha...
It is well known that the classic Allen-Cahn equation satisfies the maxi...
Maximum bound principle (MBP) is an important property for a large class...
Encrypted deduplication combines encryption and deduplication to
simulta...
As architecture, system, data management, and machine learning communiti...
The past decades witness FLOPS (Floating-point Operations per Second) as...
The past decades witness FLOPS (Floating-point Operations per Second), a...
Bayesian network structures are usually built using only the data and
st...