Motivated by recent work studying massive functional data, such as the COVID-19 data, we propose a new dynamic interaction semiparametric function-on-scalar (DISeF) model. The proposed model is use…
With rapid advances in information technology, massive datasets are collected in all fields of science, such as biology, chemistry, and social science. Useful or meaningful information is extracted…
In this article, a multiparameter detection method for torsion and strain based on a single optical fiber sensor (OFS) is demonstrated combined with principal components analysis (PCA). A helical i…
We experimentally demonstrate a Brillouin fiber laser (BFL) with a low threshold and narrow linewidth at 2 μ m employing a chalcogenide As 2 S 3 fiber as the Brillouin gain fiber. The As 2 S 3 fib…
Real-time and high-speed interrogation of optical fiber sensors normally requires sophisticated detection systems. Here a novel microwave photonic approach for interrogation of high-speed and high-…
To overcome increasing traffic, provide various new services, further ensure safety and security, and significantly improve travel comfort, a new communication system for railways is required. Sinc…
With the recent advancement of deep convolutional neural networks, significant progress has been made in general face recognition. However, the state-of-the-art general face recognition models do n…
Evolutionary algorithms (EAs) possess strong problem-solving abilities and have been applied in a wide range of applications. However, they still suffer from a high computational burden and poor ge…
We study nonconvex homogeneous quadratically constrained quadratic optimization with constraints, denoted by (QQm). (QQ2) contains (QQ1), the trust region subproblem (TRS) and its generalization …
High-dimensional statistical learning (HDSL) has wide applications in data analysis, operations research, and decision making. Despite the availability of multiple theoretical frameworks, most exis…