Results 81 to 90 of about 351,753 (315)

Rock mass characterization coupled with seismic noise measurements to analyze the unstable cliff slope of the Selmun Promontory (Malta) [PDF]

, 2017
In the Mediterranean area, cliff slopes represent widespread high-risk landforms as they are highly frequented touristic places often interested by landslide processes.
D’Amico, Sebastiano, Iannucci, Roberto, Martino, Salvatore, Paciello, Antonella   +3 more
core   +1 more source

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

Strengthening the role of hydrogeological research in the system of engineering investigations for construction

Вісник Харківського національного університету імені В.Н. Каразіна. Серія Геологія. Географія. Екологія
Problem Statement. The necessity to review, revise, and supplement existing building regulations in the field of engineering surveys and design is driven by the increasing significance of hydrogeological research. This is in response to the growing trend
Viacheslav Petik, Valeriy Sukhov, Victor Sokolov, Viacheslav Iegupov, Rajeshwar Goodary, Victoriia Pribilova   +5 more
doaj   +1 more source

Summary of Experience in Geological Investigation of Nepal Hydropower Station

Renmin Zhujiang, 2021
With the advancement of "The Belt and Road", hydropower development is an important strategic measure of the Nepalese government. Nepal has complex regional structure and geological condition.
DING Bin, PEI Xiaodong, XU Kaikai
doaj  

Engineering geological of an active slope in KM46 Simpang Pulai, Perak [PDF]

, 2016
Engineering geological mapping is an essential tool to understand the geotechnical threshold values triggering slope failures. The slope chosen is the KM 46 Jalan Simpang Pulai-Cameron Highlands in Perak.
Abdul Aziz, Azlan, Azmi, Nur Anati, Md Yusoff, Zainuddin, Nahazanan, Haslinda, Nik Daud, Nik Norsyahariati   +4 more
core  

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Application of comprehensive prediction method of water inrush hazards induced by unfavourable geological body in high risk karst tunnel: a case study

Geomatics, Natural Hazards & Risk, 2017
While tunnelling in karst terrains, karst fissure water may endanger the safety of tunnel engineering and cause geological disasters such as water inrush.
Shaoshuai Shi, Lin Bu, Shucai Li, Ziming Xiong, Xiaokun Xie, Liping Li, Zongqing Zhou, Zhenhao Xu, Dan Ma   +8 more
doaj   +1 more source

Integrated analysis of geofiltrational parameters in the context of underground coal gasification relying upon calculations and modeling [PDF]

, 2018
Objective of the paper is to substantiate and implement the integrated approach aimed at the studies of filtration and mass-transfer processes within roof rocks of coal seams in the context of their underground ...
Dereviahina, Nataliia, Inkin, Oleksandr, Sotskov, Vadym, Tishkov, Volodymyr, Инкин, А. В., Инкин, Александр Викторович, Інкін, О. В., Інкін, Олександр Вікторович   +7 more
core   +1 more source

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

Advanced Intelligent Systems, EarlyView.
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang, Marco Peres, Carlo Bradac, Gil Gonçalves   +3 more
wiley   +1 more source

Discrete Surface Modeling Based on Google Earth: A Case Study [PDF]

, 2012
Google Earth (GE) has become a powerful tool for geological, geophysical and geographical modeling; yet GE can be accepted to acquire elevation data of terrain.
Mei, Gang, Tipper, John C., Xu, Nengxiong   +2 more
core   +1 more source