As a general and rigid mathematical tool, wavelet theory has found many applications and is
constantly developing. This article reviews the development history of wavelet theory, from …

Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

Hodykin-Huxley 方程, 感知器模型与自适应滤波器, 再到六十年代的自组织映射网络,
神经认知机, 自适应共振网络, 许多神经计算模型都发展成为信号处理, 计算机视觉 …

The development of different solar energy (SE) systems becomes one of the most important
solutions to the problem of the rapid increase in energy demand. This may be achieved by …

In recent years, with the rapid development of distributed photovoltaic systems (DPVS), the
shortage of data monitoring devices and the difficulty of comprehensive coverage of …

In the last few years, there has been an exponential increase in the usage of the
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …

Air pollution is defined as a phenomenon harmful to the ecological system and the normal
conditions of human existence and development when some substances in the atmosphere …

Wind energy prediction has a significant effect on the planning, economic operation and
security maintenance of the wind power system. However, due to the high volatility and …

Abstract Convolutional Neural Networks (CNNs) are generally prone to noise interruptions,
ie, small image noise can cause drastic changes in the output. To suppress the noise effect …

Federated learning (FL) is an emerging distributed machine learning framework for
collaborative model training with a network of clients (edge devices). FL offers default client …