Tool condition monitoring and machine tool diagnostics are performed using advanced
sensors and computational intelligence to predict and avoid adverse conditions for cutting …

The artificial neural network (ANN), one of the machine learning (ML) algorithms, inspired by
the human brain system, was developed by connecting layers with artificial neurons …

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 prediction of stock groups values has always been attractive and challenging for
shareholders due to its inherent dynamics, non-linearity, and complex nature. This paper …

Data‐driven epoch, the development of machine learning (ML) in materials and device
design is an irreversible trend. Its ability and efficiency to handle nonlinear and game …

The artificial neural network (ANN)–a machine learning technique inspired by the human
neuronal synapse system–was introduced in the 1950s. However, the ANN was previously …

This article adopts an integrated knowledge inquiry approach and systematically reviews
(through content analysis) and draws themes (through thematic analysis) to explain the …

The proliferation of user-generated content on social media has made opinion mining an
arduous job. As a microblogging platform, Twitter is being used to collect views about …

Skin cancer is an emerging global health problem with 123,000 melanoma and 3,000,000
non-melanoma cases worldwide each year. The recent studies have reported excessive …

Groundwater is unique resource for agriculture, domestic use, industry and environment in
the Heihe River Basin, northwestern China. Numerical models are effective approaches to …