In view of the problem that the traditional learning service recommendation does not fully
consider the distinct differences between individuals, it is easy to lead to the contradiction …

With high-energy laser irradiating, the laser-induced damages may occur in the surfaces of
optical elements in laser facilities. As the laser-induced damage changes can badly affect …

Agriculture is a dominating field that plays an essential role in the economic development of
any country. In India, agriculture contributes about 17% of the total GDP. But, decreasing …

Community-acquired pneumonia (CAP) is a type of pneumonia acquired outside the
hospital. To recognize CAP more efficiently and more precisely, we propose a novel method …

Current IoT communication node spacing selection process show may potential areas for
improvements such as high delay ratio, high total energy consumption ratio, confusion of the …

This paper proposes an optimized control approach of a Doubly-Fed Induction Motor (DFIM)
based on a field weakening algorithm. This technique ensures a nearly doubled torque …

Most of the traditional athletic performance dynamic change prediction platforms use gray
correlation and neural networks to establish prediction methods, and the prediction results …

Abstract Machine learning methods have been applied in software engineering to effectively
predict software defects. Researchers proposed cross-project defect prediction (CPDP) for …

In order to improve the quality of online distance education and students' online learning, an
intelligent online distance education decision-making method based on cloud computing is …

Mechanical systems with (possibly fast) time-varying but bounded uncertainty are
considered. The exact value of the boundary is unknown. All the designer can get is that the …