A systematic review of the relationship between geotechnics and disasters

J Solorzano, F Morante-Carballo… - Sustainability, 2022 - mdpi.com
Landslides, earthquakes, and other natural events can change the landscape and generate
human and economic losses, affecting transportation and public service infrastructure. In …

[PDF][PDF] 地球物理学中的电磁场正演与反演

汤井田, 任政勇, 化希瑞 - 地球物理学进展, 2007 - dsjyj.com.cn
摘要本文在近年来众多的地球物理研究者的研究基础上, 总结了当前地电磁模型正反演已有成果
, 定量分析了各种主要正反演的性能测试, 指出不同正反演法的优点, 缺点以及应用范围局限 …

Comparison of artificial neural networks and support vector machine classifiers for land cover classification in Northern China using a SPOT-5 HRG image

X Song, Z Duan, X Jiang - International Journal of Remote Sensing, 2012 - Taylor & Francis
This article presents a sufficient comparison of two types of advanced non-parametric
classifiers implemented in remote sensing for land cover classification. A SPOT-5 HRG …

Towards defining the transition in style and timing of Quaternary glaciation between the monsoon-influenced Greater Himalaya and the semi-arid Transhimalaya of …

KA Hedrick, YB Seong, LA Owen, MW Caffee… - Quaternary …, 2011 - Elsevier
To help delineate the transition in pattern and timing of glaciation between two contrasting
regions, Lahul to the south and Ladakh to the north, moraines in the Puga and Karzok …

VFSARES—a very fast simulated annealing FORTRAN program for interpretation of 1-D DC resistivity sounding data from various electrode arrays

SP Sharma - Computers & Geosciences, 2012 - Elsevier
Employing the very fast simulated annealing (VFSA) global optimization technique, a
FORTRAN program is developed for the interpretation of one-dimensional direct current …

探地雷达的发展历程及其前景探讨

李华, 鲁光银, 何现启, 邓珂 - 地球物理学进展, 2010 - dzkx.org
在总结近年来众多探地雷达研究者成果基础上, 概述了探地雷达在仪器设备研制,
数据处理及解释, 应用范围这三方面的发展历程. 指出了当前雷达设备研制所存在的问题 …

Optimal laser-cutting parameters for QFN packages by utilizing artificial neural networks and genetic algorithm

MJ Tsai, CH Li, CC Chen - Journal of Materials Processing Technology, 2008 - Elsevier
In this paper, a multiple regression analysis (MRA) and an artificial neural network (ANN)
were employed to build a predicting model for cutting Quad Flat Non-lead (QFN) packages …

Adaptive convolution neural networks for electrical resistivity inversion

B Liu, Q Guo, K Wang, Y Pang, L Nie… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Electrical Resistivity Inversion is an inverse problem that intends to infer the resistivity model
from apparent resistivity data. The input and output have the format as the image but are with …

Ladakh: diverse, high-altitude extreme environments for off-earth analogue and astrobiology research

S Pandey, J Clarke, P Nema, R Bonaccorsi… - International Journal of …, 2020 - cambridge.org
This paper highlights unique sites in Ladakh, India, investigated during our 2016
multidisciplinary pathfinding expedition to the region. We summarize our scientific findings …

Gradient optimization method for tunnel resistivity and chargeability joint inversion based on deep learning

P Jiang, B Liu, Y Tang, Z Liu, Y Pang - Tunnelling and Underground Space …, 2024 - Elsevier
The water inrush hazards have become one of the bottleneck problems that constrain tunnel
construction. Ahead geological prospecting is the major tool to avoid geo-hazards and …