At 11:30 a.m. on June 3, an activation signal went out on social media calling protesters and agitators to swarm Delaney Hall, the Newark, N.J. ICE detention facility that has become one of the nation ...

Abstract: In the frequent occurrence of complex nonlinear problems, the traditional single algorithm gradually exposes the limitations of insufficient ability in finding an efficient solution. When ...

Five datasets from the Gene Expression Omnibus were integrated as a training cohort comprising 149 MASL and 158 MASH samples, while another dataset GSE135251 served as validation cohort including 51 ...

Spiking Neural Networks (SNNs) offer a biologically inspired computational paradigm that emulates neuronal activity through discrete spike-based processing. Despite their advantages, training SNNs ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. The market price of risk is taken to be λ=0. Automatic differentiation is ...

Abstract: BP neural network has been widely used in pattern recognition, predictive analysis, control optimization, data mining, etc. Optimizing its structure holds immense importance. For the sake of ...

The Internet of Things (IoT) is a rapidly evolving and user-friendly technology that connects everything and enables effective communication between linked things. In hospitals and other healthcare ...