Accurate prediction of runoff is an important foundation for optimizing water resource
allocation and reservoir scheduling operations. However, due to its complex characteristics …

In this paper, we consider a fractional-order octonion-valued Hopfield neural network. Based
on the fixed point theorem and analytical technique, we first establish the existence and …

In this paper, a class of octonion-valued neutral-type stochastic recurrent neural networks
with D operator is concerned. Except for the time delay, all connection weight functions …

Accurate streamflow simulation is crucial for many applications, such as optimal reservoir
operation and irrigation. Conceptual techniques employ physical ideas and are suitable for …

This paper deals with a class of fractional-order octonion-valued neural networks
(FOOVNNs) with impulsive effects. Firstly, although the multiplication of octonion numbers …

Improving the accuracy of daily runoff in the lower Yellow River is important for flood control
and reservoir scheduling in the lower Yellow River. Influenced by factors such as …

Given the increased incidence of pluvial floods due to climate change and urbanization, the
demand for highly efficient and accurate modeling within urban drainage systems has …

In this paper, the existence, uniqueness and global exponential stability of pseudo almost
periodic solutions for a class of octonion-valued neutral type high-order Hopfield neural …

Abstract Objective: To enhance the Gender prophecy by employing facial images using
imaginative algorithm and to resolve real time applications. Method: Initially, we make use of …

Climate change is leading to increased extreme rainfall and changes in precipitation
patterns, resulting in more urban floods and sewer network failures. Moreover, increasing …