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Article
Phyto-mediated CuO–Sb2O3 nanocomposite supported on Ni foam as a proficient dual-functional supercapacitor electrode and overall water splitting electrocatalyst
Owing to the higher global energy needs through cleaner sources the present study manifests a modified and ecofriendly method for the fabrication of CuO–Sb2O3-based electrode for electrochemical experiments. The ...
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Article
Bioinspired Bi2O3-ZrO2 nanocomposite heterojunction as energy storage material and high-performance electrocatalyst for water oxidation
Phyto-mediated nanocomposite materials possess significant potential in morphological control as well as in electrocatalytic activity, which is the main reason for steered interest in the design of new materia...
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Article
Synthesis of phyto-mediated CuO–ZrO2 nanocomposite and investigation of their role as electrode material for supercapacitor and water splitting studies
The present research focused on environmentally benign synthesis of CuO–ZrO2 nanocomposite using bioactive compounds of A. viridis. Phase analysis of CuO–ZrO2 using Xray diffraction revealed the crystal size of 3...
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Article
Brittleness evaluation method for shale gas reservoir based on acoustic P-wave and S-wave testing of rock samples and its logging application
As a clean energy development technology of shale gas is relatively mature worldwide, and its research methods are also remarkably extensive. Research on rock physical properties of shale gas reservoirs is one...
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Chapter
Overview
The failure of slopes has major consequences worldwide, including extensive damage to infrastructure and related economic losses and, in the worst case, loss of life. The ability to monitor and forecast failur...
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Chapter
Real-Time Monitoring and Early Warning of Landslide
The prediction and mitigation of landslide is very challenging worldwide due to its complex nature. An intelligent monitoring and early warning system is a powerful tool for landslide risk reduction. This chap...
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Chapter and Conference Paper
Research on Drilling Data Exchanging Technology Based on Landmark EDM
As know Landmark Software Suite is widely used in engineering of oil industry. So, learning and using of its data is necessary for our researching. Engineer's Data Model (EDM) as its solution for data manage...
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Chapter
Machine Learning Algorithms
This chapter reviews the main machine learning algorithms, as well as the applications in slope engineering analysis including the deformation prediction and the stability assessment via VOSviewer, which is a ...
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Chapter
Prediction of Slope Stability Using Ensemble Learning Techniques
Slope stability prediction plays a significant role in landslide disaster prevention and mitigation. This chapter develops an ensemble learning-based method to predict the slope stability by introducing the ra...
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Chapter and Conference Paper
Solid-Liquid Equilibria of Ternary Systems UO2(NO3)2 + HNO3 + H2O and UF4 + HF + H2O at 298 K
UO2(NO3)2 and UF4 are significant intermediates that connect different chemical unit operations (such as dissolution, evaporation, concentration, extraction and etc.) in uranium chemical industry. Commonly, there...
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Chapter
Future Work Recommendation
Benefited from the great development of AI technologies, more and more ML algorithms have been successfully applied to engineering slope stability assessment in the past decades. Although great achievements ha...
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Chapter
Efficient Seismic Stability Analysis of Slopes Subjected to Water Level Changes Using Gradient Boosting Algorithms
Embankments are widespread throughout the world, and their safety under seismic conditions is a primary concern in the geotechnical engineering community since the failure events may lead to disastrous consequ...
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Chapter
Efficient Time-Variant Reliability Analysis of Bazimen Landslide in the TGRA Using XGBoost and LightGBM
Due to the influences of periodic reservoir water level fluctuation and seasonal rainfall, the reservoir slope reliability may be varying with the external environment. Although geotechnical reliability analys...
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Chapter
Landslide Susceptibility Research Combining Qualitative Analysis and Quantitative Evaluation: A Case Study of Yunyang County in Chongqing, China
Machine learning-based methods are commonly used for landslide susceptibility map**. Most of the recent publications focused on quantitative analysis, i.e., improving data processing methods, comparing and p...
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Chapter
Displacement Prediction of Jiuxian** Landslide Using GRU Networks
Displacement prediction plays a significant role in the landslide disaster early warning. However, landslide deformation is a complex nonlinear dynamic process, posing difficulties in the displacement predicti...
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Chapter
Efficient Reliability Analysis of Slopes in Spatially Variable Soils Using XGBoost
Reliability analysis approach provides a rational means to quantitatively evaluate the safety of geotechnical structures from a probabilistic perspective. However, it suffers from a known criticism of extensiv...
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Chapter and Conference Paper
An RNN-Based Framework for the MILP Problem in Robustness Verification of Neural Networks
Robustness verification of ‘s is becoming increasingly crucial for their potential use in many safety-critical applications. Essentially, the problem of robustness verification can be encoded as a typical Mixe...
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Chapter
Application of Transfer Learning to Improve Landslide Susceptibility Modeling Performance
This chapter applies the first transfer learning application to landslides susceptibility based on a nationwide dataset and proposed a 1D CNN-bidirectional long short-term memory model on the basis of Landslid...
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Book
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Article
Reachable Set Estimation and Safety Verification of Nonlinear Systems via Iterative Sums of Squares Programming
In this paper, the problems of forward reachable set estimation and safety verification of uncertain nonlinear systems with polynomial dynamics are addressed. First, an iterative sums of squares (SOS) programm...
