This study delves into the applications,challenges,and future directions of deep learning techniques in the field of image recognition.Deep learning,particularly Convolutional Neural Networks(CNNs),Recurrent Neural Ne...
The advent of the Internet of Things(IoT)is transforming traditional agriculture into a more efficient,sustainable,and economically viable sector.This paper delves into the integration of IoT technology in agriculture...
With the rapid growth of the global population and the increasing challenges posed by climate change and labor shortages,traditional agricultural methods are becoming increasingly unsustainable.Agricultural machinery ...
Power systems are critical to modern society,providing the backbone for all economic,industrial,and residential activities.However,these systems face significant threats from both natural and man-made disasters,such a...
Power system stability is essential for the reliable operation of electrical grids,especially with the increasing integration of renewable energy sources.This paper reviews the types of power system stability-transien...
National Natural Science Foundation of China(No.11261001)。
For the identification and control problem of hyperchaotic Lorenz system,a method of feedback compensation control based on quantum inspired PSO and wavelet neural network(PSOQI-Wavelet Neural Network)is proposed.Firs...
In this paper,a kind of human-machine system with general failed system repair time distribution is studied.By using the theory of the linear operator in semi-groups,we proved that the non-negative time-dependent exis...