Article-Journal

The Development of a Weather-Type Statistical Downscaling Model for Wave Climate Based on Wave Clustering featured image

The Development of a Weather-Type Statistical Downscaling Model for Wave Climate Based on Wave Clustering

Reliable long-term wave data are significant for understanding changes and variability of ocean waves, which has important implications for coastal engineering, land erosion, and …

Guangfeng Zhao
Nonlocal erasing and writing of ferroelectric domains using a femtosecond laser in lithium niobate featured image

Nonlocal erasing and writing of ferroelectric domains using a femtosecond laser in lithium niobate

We experimentally demonstrate the highly-efficient nonlocal erasing and writing of ferroelectric domains using a femtosecond laser in lithium niobate. Based on the induction of a …

Fengchang Li
基于深度学习的南海海表面温度的智能化预测研究 featured image

基于深度学习的南海海表面温度的智能化预测研究

海表面温度(sea surface temperature, SST)是影响海洋和气候变化的重要因素之一,准确预测SST的变化对于海洋生态环境、气象和航行等至关重要。传统的SST预测方法通常依赖于数值模式,但是其计算成本较高。该文基于深度学习模型(3D U-Net),将SST、海表面高度异常(sea surface height anomalies, …

Bowen Xie
A Novel Network-Based Controller Design for a Class of Stochastic Nonlinear Systems with Multiple Faults and Full State Constraints featured image

A Novel Network-Based Controller Design for a Class of Stochastic Nonlinear Systems with Multiple Faults and Full State Constraints

In this paper, the control issue of adaptive fault-tolerant is studied for a class of stochastic nonlinear systems with multiple faults and full state constraints, with multiple …

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李娜
多尺度耦合经验正交分解法反演海洋次表层温盐结构 featured image

多尺度耦合经验正交分解法反演海洋次表层温盐结构

针对提升利用卫星观测海面信息重构三维温盐场精度的问题,本文提出了一种基于多尺度耦合正交分解的三维温盐场重构方法。该方法利用多尺度耦合正交分解对历史温盐剖面进行从大尺度到小尺度的迭代分解,以分层提取不同尺度三维温盐场的特征信息,然后分别建立海洋表面卫星观测与不同尺度的三维温盐场特征信息的重构模型,从而达到三维温盐场重构的目的。本文分别利用多尺度耦合正交分解法与 …

Mingqi Zhang
Multi-scale spatial and spectral feature fusion for soil carbon content prediction based on hyperspectral images featured image

Multi-scale spatial and spectral feature fusion for soil carbon content prediction based on hyperspectral images

Soil carbon content prediction based on hyperspectral images can achieve large-scale spatial measurement, which has the advantages of wide coverage and fast information collection, …

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李雪莹
Weakly Labeled Sound Event Detection with a Capsule-Transformer Model featured image

Weakly Labeled Sound Event Detection with a Capsule-Transformer Model

Sound event detection (SED) is a widely studied field that has achieved considerable success. The dynamic routing mechanism of capsule networks has been used for SED, but its …

Kanghao Li
Second-harmonic flat-top beam shaping via a three-dimensional nonlinear photonic crystal featured image

Second-harmonic flat-top beam shaping via a three-dimensional nonlinear photonic crystal

WeexperimentallyextendthenonlinearGaussiantofat-topbeamshapingfromonetotwodimensionsthroughathree-dimensionalnonlinearphotoniccrystal.Employinganear-infraredfemtosecondlaser,weindu …

Ruonan Wang
Physics-informed deep operator learning based on reduced-order modelling for retrieving the ocean interior density from the surface featured image

Physics-informed deep operator learning based on reduced-order modelling for retrieving the ocean interior density from the surface

Exploring methods to reconstruct the ocean interior from surface data is a crucial focus in the study of ocean processes and phenomena due to the shortage of subsurface and …

Yuanyuan Chen
Adaptive Prescribed Performance Control for State Constrained Stochastic Nonlinear Systems with Unknown Control Direction: A Novel Network-Based Approach featured image

Adaptive Prescribed Performance Control for State Constrained Stochastic Nonlinear Systems with Unknown Control Direction: A Novel Network-Based Approach

In this paper, the tracking control problem of the state constrained stochastic nonlinear systems with unknown control direction is studied, and a novel adaptive prescribed …

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韩玉群