12,468 Result(s)
within
English
Engineering
**hu Zhu
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Article
Open AccessC@Ag core-shell structure as lubricating additives towards high efficient lubrication
Efficient cooperative lubrication can be achieved via the introduction of core-shell structure lubricant additives with hard core and soft shell, for obtaining the expected anti-wear performance from the struc...
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Article
Dowsing: a task-driven approach for multiple-view visualizations dynamic recommendation
Most users are able to obtain exploratory ideas from a data table but cannot clearly declare their analysis tasks as visual queries. Visualization recommendation methods can reduce the demand for data and desi...
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Article
Pore Water Pressure and Stress Changes During the Construction of Stiffened Deep Cement Mixing Piles
Investigations on the changes in pore water pressures and stress during the construction of stiffened deep cement mixing (SDCM) piles are scarce, resulting in an unsatisfactory understanding of the bearing cap...
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Article
GBDT4CTRVis: visual analytics of gradient boosting decision tree for advertisement click-through rate prediction
Gradient boosting decision tree (GBDT) is a mainstream model for advertisement click-through rate (CTR) prediction. Since the complex working mechanism of GBDT, advertising analysts often fail to analyze the d...
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Article
Open AccessDistributed order estimation for continuous-time stochastic systems
In this paper, we investigate the distributed estimation problem of continuous-time stochastic dynamic systems over sensor networks when both the system order and parameters are unknown. We propose a local inf...
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Article
The heterogeneous population of granule cells contributes to pattern separation of the dentate gyrus neural network
The dentate gyrus (DG) is crucial for distinguishing similar events through pattern separation. It has been proposed that sparse firing granule cells (GCs) perform these computational functions in the DG. GCs ...
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Article
Intermittent sampling and detection event-based model predictive control for perturbed nonlinear systems
This paper presents a dynamic intermittent sampling strategy within event-based MPC framework for discrete-time nonlinear systems with external disturbances. A minimal triggering interval and corresponding tri...
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Article
Reward Function Design Method for Long Episode Pursuit Tasks Under Polar Coordinate in Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning has recently been applied to solve pursuit problems. However, it suffers from a large number of time steps per training episode, thus always struggling to converge effectivel...
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Article
Thumbnail-preserving encryption by sum-preserving within blocks based on exponential chaotic map
With the dramatic increase in the number of images in recent years, more and more images are stored in the cloud space. Traditional image encryption only guarantees the confidentiality of the image without tak...
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Article
Predefined-time adaptive consensus control for nonlinear multi-agent systems with input quantization and actuator faults
Predefined-time control has experienced substantial advancements in recent years. Nevertheless, the current technology has not achieved widespread adoption in nonlinear multi-agent systems (NMASs), and signifi...
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Article
C5: toward better conversation comprehension and contextual continuity for ChatGPT
Large language models (LLMs), such as ChatGPT, have demonstrated outstanding performance in various fields, particularly in natural language understanding and generation tasks. In complex application scenarios...
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Article
Open AccessGlobal practical stabilization of the double integrator system with an imperfect sensor and subject to a bounded disturbance
This paper is concerned with global practical stabilization of the double integrator system with an imperfect sensor and subject to an additive bounded output disturbance. The imperfect sensor nonlinearity pos...
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Article
Conception Design of a Novel Vibration Dam** Mechanism for Vibration Reduction of a High-Rise Wind Tower
A dynamic model of a high-rise wind tower is built based on the assuming modes method to investigate its along-wind dynamic responses. Unlike the traditional dynamic model, the tower body is regarded a continu...
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Article
Enhanced DNA sequence design with learning PSO
DNA computing is a novel computing technology with high storage density and parallelism and promising applications. The reliability of DNA computing relies on data encoded DNA sequences, but designing qualifie...
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Article
Local Planning Strategy Based on Deep Reinforcement Learning Over Estimation Suppression
Local planning is a critical and difficult task for intelligent vehicles in dynamic transportation environments. In this paper, a new method Suppress Q Deep Q Network (SQDQN) combining traditional deep reinfor...
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Article
Semi-active control of the electromagnetic negative stiffness mechanism in a double-layer vibration isolator
Semi-active vibration isolators have attracted considerable attention due to their high reliability and excellent vibration isolation performance. Most of the existing adjustable stiffness components can only ...
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Article
Study on Acoustic Emission and Crack Propagation Characteristics of Single-Fissured Sandstone with Different Angles Under Uniaxial Compression
The uniaxial compression tests are conducted on single-fissured sandstone with different angles, and the effect of fissure angle (β) on mechanical properties, acoustic emission (AE) features, crack propagation ch...
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Article
Intelligent Extraction of Surface Cracks on LNG Outer Tanks Based on Close-Range Image Point Clouds and Infrared Imagery
Most of the studies on oil tanks have focused on the analysis of deformation and settlement, and more research needs to be done on crack extraction from external LNG tanks.
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Article
Open AccessRunning safety assessment method of trains under seismic conditions based on the derailment risk domain
The accurate assessment of running safety during earthquakes is of significant importance for ensuring the safety of railway lines. Currently, assessment methods based on a single index suffer from issues such...
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Article
High-resolution real-space reconstruction of cryo-EM structures using a neural field network
The elucidation of three-dimensional (3D) structures is crucial for unravelling the protein function and illuminating mechanisms in structural biology. Cryogenic electron microscopy (cryo-EM) single-particle a...
