Meng Li
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View article: Optimization of the Borehole Wall Protection Slurry Ratio and Film-Forming Mechanism in Water-Rich Sandy Strata
Optimization of the Borehole Wall Protection Slurry Ratio and Film-Forming Mechanism in Water-Rich Sandy Strata Open
Conventional slurry wall protection exhibits reduced film performance upon exposure to water in saturated sand layers with high permeability, frequently resulting in hole wall instability. Optimizing the slurry ratio to enhance film perfor…
View article: A Multi-Objective Optimisation Algorithm Based Design Method for Integrating Direct-Flex Photovoltaic Systems with Buildings
A Multi-Objective Optimisation Algorithm Based Design Method for Integrating Direct-Flex Photovoltaic Systems with Buildings Open
With the development of renewable energy technology and the pursuit of sustainable development in the construction industry, the design of direct-soft photovoltaic systems integrated with buildings has become an important research directio…
View article: SpemNet: A Cotton Disease and Pest Identification Method Based on Efficient Multi-Scale Attention and Stacking Patch Embedding
SpemNet: A Cotton Disease and Pest Identification Method Based on Efficient Multi-Scale Attention and Stacking Patch Embedding Open
We propose a cotton pest and disease recognition method, SpemNet, based on efficient multi-scale attention and stacking patch embedding. By introducing the SPE module and the EMA module, we successfully solve the problems of local feature …
View article: Prediction of Bonding Strength of Heat-Treated Wood Based on an Improved Harris Hawk Algorithm Optimized BP Neural Network Model (IHHO-BP)
Prediction of Bonding Strength of Heat-Treated Wood Based on an Improved Harris Hawk Algorithm Optimized BP Neural Network Model (IHHO-BP) Open
In this study, we proposed an improved Harris Hawks Optimization (IHHO) algorithm based on the Sobol sequence, Whale Optimization Algorithm (WOA), and t-distribution perturbation. The improved IHHO algorithm was then used to optimize the B…
View article: Comparative Study of Algorithms for the Conversion From Surface Mesh Models to Volume Mesh Models
Comparative Study of Algorithms for the Conversion From Surface Mesh Models to Volume Mesh Models Open
The study delves into the performance of different algorithms in the process of converting surface mesh models (SMMs) into volume mesh models (VMMs) required for finite element analysis. The experiment compared the Initial mesh, Delaunay, …
View article: Fractured Zone Detection Using Petrophysical Logs by Rescaled Windowed R/S Analyses and Discrete Fracture Network (DFN) of Yanchang Formation in Mahuangshan-Hongliugou Area, Ordos Basin, China
Fractured Zone Detection Using Petrophysical Logs by Rescaled Windowed R/S Analyses and Discrete Fracture Network (DFN) of Yanchang Formation in Mahuangshan-Hongliugou Area, Ordos Basin, China Open
Structural fractures generally develop in the upper crust strata and are usually distributed in a convergent pattern, forming structural fracture zones with a specific strike. Fracture zones control the reservoir seepage system and serious…
View article: Research on the Predictive Algorithm of Wear Degree Based on Adaptive Feature Learning
Research on the Predictive Algorithm of Wear Degree Based on Adaptive Feature Learning Open
In the prediction and modeling analysis of wear degree in the field of industrial parts processing, there are problems such as poor prediction ability for long sequence data and low sensitivity of output feedback to changes in input signal…
View article: The impacts of adjusting momentum roughness length on strong and weak hurricanes forecasts: a comprehensive analysis of weather simulations and observations
The impacts of adjusting momentum roughness length on strong and weak hurricanes forecasts: a comprehensive analysis of weather simulations and observations Open
This dataset includes the output files of Weather Research and Forecasting (WRF) model simulations for one strong (Dorian) and one weak (Gert) hurricane. Each of the hurricanes has four sub-directories where the results of different moment…
View article: Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS
Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS Open
This paper presents Nana-HDR, a new non-attentive non-autoregressive model with hybrid Transformer-based Dense-fuse encoder and RNN-based decoder for TTS. It mainly consists of three parts: Firstly, a novel Dense-fuse encoder with dense co…
View article: A regularized continuum model for fault zones with rate and state friction
A regularized continuum model for fault zones with rate and state friction Open
<p>Accurate representation of fault zones is important in many applications in Earth sciences, including natural and induced seismicity. The framework developed here can efficiently model fault zone localization, evolution, and spont…
View article: Large-Eddy Simulations of Oil Droplet Aerosol Transport in the Marine Atmospheric Boundary Layer
Large-Eddy Simulations of Oil Droplet Aerosol Transport in the Marine Atmospheric Boundary Layer Open
In this study, a hybrid large-eddy simulation (LES) model is developed and applied to simulate the transport of oil droplet aerosols in wind over progressive water waves. The LES model employs a hybrid spectral and finite difference method…
View article: Parallel noise eliminate: A parallel noise elimination algorithm for massive text categorization
Parallel noise eliminate: A parallel noise elimination algorithm for massive text categorization Open
Noise data in text are one of the main factors affecting the quality of text categorization. A parallel noise data elimination algorithm based on principal component analysis method and term frequency-inverse document frequency method for …
View article: A MapReduce-based improvement algorithm for DBSCAN
A MapReduce-based improvement algorithm for DBSCAN Open
This paper proposes an improved adaptive density-based spatial clustering of applications with noise (DBSCAN) algorithm based on genetic algorithm and MapReduce parallel computing programming framework to improve the poor clustering effect…
View article: Active Disturbance Rejection Control for Activated Sludge Wastewater Treatment Processes
Active Disturbance Rejection Control for Activated Sludge Wastewater Treatment Processes Open
In this article, Active Disturbance Rejection Control (ADRC) is proposed for the control of the activated sludge wastewater treatment processes.Simulation results show that the dissolved oxygen concentration can track the set value with no…