Traditional neural networks used gradient descent methods to train the network structure,
which cannot handle complex optimization problems. We proposed an improved grey wolf …

Due to the importance of water resources management that requires the optimal model for
streamflow prediction, the study of water flow prediction is of great importance. Hence, the …

Pulsar observation and research are of great significance. With the gradual increase in the
performance and quantity of observing equipment, the received pulsar observation data also …

The spin frequency estimation algorithm is the foundation to recover the profile from the
observation data of X-ray pulsar. In this work, a frequency-domain method based on the …

This paper addresses the challenges posed by the low photon flux and limited atmospheric
penetration capabilities of X-ray pulsar signals, which are further exacerbated by technical …

Pulsars are very small and dim neutron stars compared to other astronomical objects.
Because of their small size and dimness, pulsars are very difficult to detect. Adaptive Neuro …

Because the output signal of the time grid sensor is so weak and is easily affected by the
disturbing noise, it is difficult to extract the induction signal containing the position …