Results 31 to 40 of about 2,615 (182)
Research Overview on Edge Detection Algorithms Based on Deep Learning and Image Fusion
Edge detection is a boundary‐based segmentation method to extract important information from an image, and it is a research hotspot in the fields of computer vision and image analysis. Especially feature extraction is also the basis of image segmentation, target detection, and recognition.
Bin Tian, Wei Wei, Yuchuan Luo
wiley +1 more source
Strong-motions from 79 moderate magnitude (5.9 ≥ Mw) earthquakes that caused various degrees of impact on humans and built-environment in Japan between 1996 and 2019, after the start of K-NET and KiK-net, are presented.
Yadab P. Dhakal
doaj +1 more source
CloudScope: diagnosing and managing performance interference in multi-tenant clouds [PDF]
© 2015 IEEE.Virtual machine consolidation is attractive in cloud computing platforms for several reasons including reduced infrastructure costs, lower energy consumption and ease of management.
Chen, X +5 more
core +1 more source
Duration models are one of the important parameters in ground-motion simulations. This model varies in different study areas, and plays a critical role in nonlinear structural response analysis.
Shiyang Chen +3 more
doaj +1 more source
Analytical description of the seismic signals based on the nonorthogonal amplitude-frequency analysis of the smoothed signals [PDF]
The paper presents a new approach to the description of earthquake seismic signals based on the nonorthogonal amplitude-frequency analysis of the smoothed signals (NAFASS) method.
Rybin, A.K. +4 more
doaj +1 more source
Regional waveform calibration in the Pamir-Hindu Kush region [PDF]
Twelve moderate-magnitude earthquakes (m_b 4–5.5) in the Pamir-Hindu Kush region are investigated to determine their focal mechanisms and to relocate them using their regional waveform records at two broadband arrays, the Kyrgyzstan Regional Network ...
Helmberger, Donald V. +3 more
core +1 more source
VOLUMETRIC AND SPATIAL SEGMENTATION OF THE TIEN SHAN LITHOSPHERE ACCORDING TO GEOPHYSICAL DATA
This article consolidates the results of studying the deep structure of the lithosphere of the Central Tien Shan, which aimed to identify the main tectonic elements in its geophysical models.
A. K. Rybin +3 more
doaj +1 more source
KNet: A Web Platform for Kinome-Wide Deep Learning–Based Virtual Screening in Cancer Drug Discovery
Jiaming Hu +2 more
openaire +2 more sources
Rate and apparent quantum yield of photodissolution of sedimentary organic matter [PDF]
Author Posting. © Association for the Sciences of Limnology and Oceanography, 2012. This article is posted here by permission of Association for the Sciences of Limnology and Oceanography for personal use, not for redistribution. The definitive version
Boss, Emmanuel S. +2 more
core +2 more sources
Visualizing Gene Clusters using Neighborhood Graphs in R [PDF]
The visualization of cluster solutions in gene expression data analysis gives practitioners an understanding of the cluster structure of their data and makes it easier to interpret the cluster results.
Leisch, Friedrich, Scharl, Theresa
core +1 more source

