2026-10-11T14:05:48Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33937495 2026-09-18T17:25:08Z category_146 category_14 category_873 category_734 category_931 portal_5 item_type_3 month_year_09_2026

<p>Basic physical and mechanical parameters of sandstone specimens.</p> Weijian Liu (1799029) Jianbo Li (286642) Zhizeng Zhang (25073104) Zhenxia Yuan (25073107) Shuai Teng (15534971) Danqing Song (1657087) Mingrui Zhu (6309692) Wenlong Lv (302421) Space Science Molecular Biology Chemical Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified overall segmentation accuracy maintain high accuracy input format suitable initial f1 score identifying event boundaries 0 &# 8211 microseismic event boundaries 93 %, respectively 69 %, respectively dimensional convolutional networks automatic segmentation method thereby enabling end detection results shows se module within eqtp &# 8217 microseismic monitoring signal microseismic event start noise ratio conditions automatic detection microseismic signals noise ratio end detection dimensional waveforms union ratio noise interference end times xlink "> test specimen test set spatial distribution sources corresponding source localization model embeds low signal error distribution convert one channel features attention mechanism 98 %, 5 range 5 db <p>Basic physical and mechanical parameters of sandstone specimens.</p> 2026-09-18T17:24:42Z Dataset Dataset 10.1371/journal.pone.0358562.t004 https://figshare.com/articles/dataset/_p_Basic_physical_and_mechanical_parameters_of_sandstone_specimens_p_/33937495 CC BY 4.0