A machine learning-based underwater noise classification method
G Song, X Guo, W Wang, Q Ren, J Li, L Ma - Applied Acoustics, 2021 - Elsevier
We proposed a machine learning-based underwater noise classification method that
extracts five underwater noise features (the 1/3 octave noise spectrum level (NL), time …
extracts five underwater noise features (the 1/3 octave noise spectrum level (NL), time …
Predicting properties of cereals using artificial neural networks: a review.
S Goyal - 2013 - cabidigitallibrary.org
This communication reports the use of artificial neural networks (ANN) in cereals and
analyzes the major contribution of ANN in cereals (barley, corn, maze, oats, paddy, rice, rye …
analyzes the major contribution of ANN in cereals (barley, corn, maze, oats, paddy, rice, rye …
Seabed habitat mapping employing single and multi-beam backscatter data: A case study from the western continental shelf of India
K Haris, B Chakraborty, B Ingole, A Menezes… - Continental Shelf …, 2012 - Elsevier
Acoustic backscatter from multi-beam echo-sounder (MBES) and dual-frequency single-
beam echo-sounding systems (SBES) operable at 95kHz and 33/210kHz, respectively, were …
beam echo-sounding systems (SBES) operable at 95kHz and 33/210kHz, respectively, were …
Biodiversity assessment using passive acoustic recordings from off-reef location—Unsupervised learning to classify fish vocalization
VP Mahale, K Chanda, B Chakraborty… - The Journal of the …, 2023 - pubs.aip.org
We present the quantitative characterization of Grande Island's off-reef acoustic environment
within the Zuari estuary during the pre-monsoon period. Passive acoustic recordings reveal …
within the Zuari estuary during the pre-monsoon period. Passive acoustic recordings reveal …
Seabed mixed sediment classification with multi-beam echo sounder backscatter data in Jiaozhou Bay
Q Tang, N Lei, J Li, Y Wu, X Zhou - Marine Georesources & …, 2015 - Taylor & Francis
The multi-beam echo sounder system can not only obtain high-precision seabed bathymetry
data, but also obtain high-resolution seabed backscatter strength data. A number of studies …
data, but also obtain high-resolution seabed backscatter strength data. A number of studies …
近岸水体表层悬浮泥沙平均粒径遥感反演
杨曦光， 黄海军， 严立文， 刘艳霞… - 武汉大学学报(信息科学版), 2015 - ch.whu.edu.cn
悬浮泥沙的粒径分布特征不仅体现了悬浮颗粒态物质的存在状态, 而且可以指示水动力及再悬浮
作用的过程和强度, 因此研究悬浮泥沙粒径分布特征具有重要意义. 利用Mie …
作用的过程和强度, 因此研究悬浮泥沙粒径分布特征具有重要意义. 利用Mie …
济州岛南部海域海底声呐图像分析与声学底质分类
唐秋华， 李杰， 周兴华， 陆凯， 张志珣 - 海洋学报, 2014 - hyxbocean.cn
东海北部外陆架靠近济州岛南部海域, 是黄海槽向冲绳海槽延伸的部分, 属于黑潮分支黄海暖流
的通道入口, 分布着脊槽相间的海底底形, 对其海底声呐图像的处理分析及声学底质分类的分析 …
的通道入口, 分布着脊槽相间的海底底形, 对其海底声呐图像的处理分析及声学底质分类的分析 …
Analyses of turbidity and acoustic backscatter signal with artificial neural network for estimation of suspended sediment concentration
R Meral, A Dogan Demir, B Cemek - 2018 - aperta.ulakbim.gov.tr
The commonly used sampling method is restrictive for the spatial and temporal
measurement of suspended sediment and requires intensive labor. These limitations and …
measurement of suspended sediment and requires intensive labor. These limitations and …
Seabed sonar image analysis and acoustic seabed classification in the south of the Cheju Island
T Qiuhua, L Jie, Z Xinghua, L Kai, Z Zhixun - 海洋学报, 2014 - hyxbocean.cn
The selected area in this paper is located in the south of the Cheju Island. The study area is
part of the Yellow Sea Trough extends to the Okinawa Trough and it's in the pathway of the …
part of the Yellow Sea Trough extends to the Okinawa Trough and it's in the pathway of the …
Underwater Noise Classification based on Support Vector Machine
G Song, X Guo, W Wang, J Li… - 2021 OES China …, 2021 - ieeexplore.ieee.org
In the face of more and more underwater noise monitor data, there is a need to process the
noise automatically. In this paper, support vector machine (SVM) classifiers with different …
noise automatically. In this paper, support vector machine (SVM) classifiers with different …