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: Named data networks (NDNs), as one of the standards for information center networks (ICNs), have attracted substantial attention in recent years due to their efficient forwarding mechanisms.
ABSTRACT: The article is devoted to decision making regarding controlling the operation of tubular gas heaters (TGH) on wood pellets. Experimental results of the study of the operation of TGH on ...
Abstract: Neural architecture search (NAS) is an automated technique to design optimal neural network architectures for a specific workload. Conventionally, evaluating candidate networks in NAS ...
Electroencephalography (EEG) is widely used for analyzing brain activity; however, the nonlinear and nature of EEG signals presents significant challenges for traditional analysis methods. Machine has ...
A research team has uncovered key insights into how the brain processes others' distress. Using miniature endoscopic calcium imaging, the researchers identified specific neural ensembles in the ...
Clinically deployed deep brain stimulation (DBS) for the treatment of Parkinson’s disease operates in an open loop with fixed stimulation parameters, and this may result in high energy consumption and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results