Extraction of bioactive polysaccharide from Ulva prolifera biomass waste toward potential biomedical application

S Yu, J Sun, Q Wang, J Wu, J Liu - International Journal of Biological …, 2023 - Elsevier
Ulva prolifera macroalgae blooming caused by water eutrophication seriously affects the
marine ecological environment. Exploring an efficient approach to turning algae biomass …

Estimating Ulva prolifera green tides of the Yellow Sea through ConvLSTM data fusion

Z Wang, Z Fang, J Liang, X Song - Environmental Pollution, 2023 - Elsevier
G reen tides, a worldwide problem, are harmful to aquaculture, tourism, marine ecosystems,
and maritime traffic. Currently, green tide detection relies on remote sensing (RS) images …

A High-Quality Instance-Segmentation Network for Floating-Algae Detection Using RGB Images

Y Zou, X Wang, L Wang, K Chen, Y Ge, L Zhao - Remote Sensing, 2022 - mdpi.com
Floating-algae detection plays an important role in marine-pollution monitoring. The
surveillance cameras on ships and shores provide a powerful way of monitoring floating …

基于双路卷积神经网络的高分辨率遥感影像浒苔检测方法

王艳丽, 董志鹏, 王密 - 武汉大学学报(信息科学版), 2024 - ch.whu.edu.cn
浒苔绿潮是一种危害巨大的海洋生态灾害. 如何快速准确地检测出浒苔, 对其及时治理和促进
海洋产业健康发展具有重要意义. 针对高分辨率遥感影像浒苔检测中浒苔区域边界难以精确确定 …

[PDF][PDF] A Speed-up Channel Attention Technique for Accelerating the Learning Curve of a Binarized Squeeze-and-Excitation (SE) Based ResNet Model

W Shaoqing, H Yamauchi - Journal of Advances in Information Technology, 2024 - jait.us
The use of 1-bit representation for network weights, as opposed to the conventional 32-bit,
has been investigated to save on the required power and memory footprint. Squeeze-and …

Ulva polifera Detection Method for High Resolution Remote Sensing Images Based on Dual-path Convolutional Neural Networks

Y WANG, Z DONG, M WANG - Geomatics and Information Science of …, 2023 - ch.whu.edu.cn
Objectives: The green tide formed by Ulva prolifera (U. prolifera) is a harmful marine
ecological disaster. The rapid and accurate detection of U. prolifera is of great significance …

针对浒苔目标检测的全局背景强化的位置蒸馏方法

刘兵, 刘宇, 金凤学, 邹一波, 葛艳, 赵林林 - 测绘通报 - tb.chinasmp.com
浒苔检测是目前海洋环境智能监测领域研究的重要课题之一. 为了有效解决传统浒苔检测方法
存在的训练样本需求大的问题, 本文提出了一种全局背景强化的位置蒸馏模型(GBS-LD) …