Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Shaoxiang Hu"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 15456-15475 (2023)
The goal of this study is to present an automatic vocalization recognition system of giant pandas (GPs). Over 12800 vocal samples of GPs were recorded at Chengdu Research Base of Giant Panda Breeding (CRBGPB) and labeled by CRBGPB animal husbandry st
Externí odkaz:
https://doaj.org/article/2afbab247467430982af3937c87ab8e7
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
There are abundant resources and many endangered marine animals in the ocean. Using sound to effectively identify and locate them, and estimate their distribution area, has a very important role in the study of the complex diversity of marine animals
Externí odkaz:
https://doaj.org/article/15958b0c8ea34edcbddc7fc4d784b702
Publikováno v:
Frontiers in Marine Science, Vol 9 (2023)
Hyperspectral images are a valuable tool for remotely sensing important characteristics of a variety of landscapes, including water quality and the status of marine disasters. However, hyperspectral data are rare or expensive to obtain, which has spu
Externí odkaz:
https://doaj.org/article/3f5e877568e74efe86e82ee1540fa6d7
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Convolutions are important structures in deep learning. However, theoretical analysis on the dependence among multi-layer convolutions cannot be found until now. In this paper, the image pixels before, in, and after multi-layer convolutions are of mo
Externí odkaz:
https://doaj.org/article/955b9eae45294f8ebe598753d77da644
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
By analyzing the voiceprint characteristics of giant panda’s voice, this study proposes a giant panda individual recognition method based on the characteristics of the composite Mel composite frequency cepstral coefficient (CMFCC) and proves that t
Externí odkaz:
https://doaj.org/article/c5143d32dcce4f2da8b9a053e70ffb00
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Giant panda 3D reconstruction technology plays an important role in the research of giant panda protection. Through the analysis of giant panda video image sequence (GPVS), we prove that it has the long-range–dependent characteristics. This article
Externí odkaz:
https://doaj.org/article/cbf77764e30b4fc8ad1d9e429093d174
Autor:
Shaoxiang Hu, Ping Liang
Publikováno v:
Abstract and Applied Analysis, Vol 2014 (2014)
We study fractional-order derivatives of left-handed Grünwald-Letnikov formula with 0
Externí odkaz:
https://doaj.org/article/b58f826ac2df42c68ea7c7df12463923
Autor:
Shaoxiang Hu
Publikováno v:
Advances in Mathematical Physics, Vol 2013 (2013)
Existing fractional-order Perona-Malik Diffusion (FOPMD) algorithms are defined as fully spatial fractional-order derivatives (FSFODs). However, we argue that FSFOD is not the best way for diffusion since different parts of spatial derivative play di
Externí odkaz:
https://doaj.org/article/a5ef7a850f53470f81abae493c0a88e3
Theory Analysis of Left-Handed Grünwald-Letnikov Formula with0<α<1to Detect and Locate Singularities
Autor:
Ping Liang, Shaoxiang Hu
Publikováno v:
Abstract and Applied Analysis. 2014:1-7
We study fractional-order derivatives of left-handed Grünwald-Letnikov formula with0<α<1to detect and locate singularities in theory. The widely used four types of ideal singularities are analyzed by deducing their fractional derivative formula. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10483346b51df68ce72e7a653d3b4cd3
https://doi.org/10.1155/2014/157542
https://doi.org/10.1155/2014/157542