Robust Mesh Segmentation Using Feature-Aware Region Fusion
This paper introduces a simple but powerful segmentation algorithm for 3D meshes. Our algorithm consists of two stages: over-segmentation and region fusion. In the first stage, …
Lulu Wu
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Numerical Study on Storm Surge Level Including Astronomical Tide Effect Using Data Assimilation Method
In the storm surge model, the wind drag coefficient C-d is a critical parameter that has a great influence on the forecast of the storm surge level. In the present study, the …
Improved Capsule Routing for Weakly Labeled Sound Event Detection
Polyphonic sound event detection aims to detect the types of sound events that occur in given audio clips, and their onset and offset times, in which multiple sound events may …
Haitao Li
Spatiotemporal dynamics analysis of aquaculture zones and its impact on green tide disaster in Haizhou Bay, China
With the rapid marine economic development, the problem of the marine ecological environment has become progressively prominent. Mariculture monitoring plays an essential role in …
DOA Estimation of Underwater Acoustic Array Signal Based on Wavelet Transform with Double branch Convolutional Neural Network
In underwater acoustic communications, a hydrophone array is often used to receive the underwater acoustic signals to improve the gain of the received signal. The direction of …
Manipulation of ferroelectric domain inversion and growth by optically induced 3D thermoelectric field in lithium niobate
Weexperimentallydemonstratetheuseofafemtosecondlaser-inducedthermoelectricfieldtomanipulateremotely—notonlyatthefocalspot—theinversionandgrowthofferroelectricdomaininlithiumniobate. …
Xiaoliang Wang
A Discussion on Nonlocality: From Fractional Derivative Model to Peridynamic Model
Characterization of nonlocality is an open problem in physics and engineering. This paper conducts a detailed investigation on two nonlocal models, namely, the fractional …
HongGuang Sun
基于自注意力路由胶囊网络的多音事件检测
声音事件检测是目前计算机听觉领域中的重要问题，而多声音事件检测是其中一个极具挑战性的研究热点。基于最新提出的非迭代的自注意力路由方法和胶囊网络，本文提出了一种基于自注意力路由的多路径胶囊网络模型，将其用于多声音事件检测。由于自注意力路由方法是非迭代且高度并行的，大大加快了模型的训练速度；多路径基础胶囊层使用不同大小的非对称卷积核，不仅使模型能获得不同分辨率的 …
Haitao Li
Reconstruction of Monthly Surface Nutrient Concentrations in the Yellow and Bohai Seas from 2003–2019 Using Machine Learning
Monitoring the spatiotemporal iability of nutrient concentrations in shelf seas is important for understanding marine primary productivity and ecological problems. However, long …
Hao Liu
Controller Design for Nonlinear Systems Subject to Both Input Saturation and Asymmetry Time‐varying State Constraints: A Novel Network‐based Approach
In this article, the issues of asymmetric input saturation and asymmetric time-varying state constraints are integrated into nonlinear systems for the first time, and a new …
