34 Result(s)
within
Chapter
**gmin Liu
English
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Chapter and Conference Paper
Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction
Crime prediction is a critical issue in the field of urban management, as it makes it possible to prevent potential public safety threats. Previous studies mainly concentrate on exploring the multiple dependen...
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Chapter and Conference Paper
Application of an Improved Fast Corner Detection Algorithm in ORB-SLAM2
Visual SLAM provides navigation and positioning functions for mobile robots. The accuracy of positioning has a profound impact on the quality of the robot's work. It is of great significance to study SLAM posi...
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Chapter and Conference Paper
CARR-Net: Leveraging on Subtle Variance of Neighbors for Point Cloud Semantic Segmentation
For 3D semantic segmentation task, how to fully explore intrinsic feature of point cloud is worthy to be well considered. We note that neighboring points used for representing local structure of a 3D point are...
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Chapter
Advances in Development of mRNA-Based Therapeutics
Recently, mRNA-based therapeutics have been greatly boosted since the development of novel technologies of both mRNA synthesis and delivery system. Promising results were showed in both preclinical and clinica...
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Chapter and Conference Paper
Trajectory Control of Multirotor Unmanned Aerial Vehicles via GPS Spoofing
Unmanned aerial vehicles (UAVs) defense is important to low altitude security. When countering multirotor unmanned aerial vehicles (MUAVs), it is required to consider the problem of trajectory control to avoid...
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Chapter and Conference Paper
MDKE: Multi-level Disentangled Knowledge-Based Embedding for Recommender Systems
Recommender systems aim to dig out the potential interests of users and find out items that might be connected with target users. Accuracy of the recommendation list is crucial for user-oriented applications. ...
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Chapter and Conference Paper
Analysis of Emergency Repair Cost of EHV Transmission and Transformation Project Based on Difference Comparison
The emergency repair project of power grid is different from the conventional repair project of power grid and the large-scale repair project of power grid, which determines that it is not suitable for the con...
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Chapter and Conference Paper
Analysis of the Influence of Different Mechanical Delaminating Process on the Electrochemical Performance of MXene Films
MXene is a new type of two-dimensional nanomaterials with good electrochemical properties, which can be used as electrode materials for supercapacitors. And the electrochemical performance of the few-layered M...
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Chapter and Conference Paper
Visualized Analysis of Knowledge Map** of Eco-city Research in China
Recently, extensive attention has been devoted to eco-city theoretical research in China. Several findings and viewpoints are presented on the various perspectives explored by scholars in this area. However, i...
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Chapter and Conference Paper
Experimental Study of a Solid-Liquid Mixing and Conveying Pump with Variable Flow and Proportion
To achieve the mixing and conveying of solids and liquids and meet the requirements of variable flow, proportion, and uniform mixing, a novel two-phase flow pump was designed, built, and investigated in this r...
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Chapter and Conference Paper
A Study on a Carmaker’s Brake Pedal Feel DNA
Analyzed the subjective and objective factors affecting the brake pedal feel and determined the brake DNA metrics. Defined the DNA style and metrics based on benchmarking data and used it to optimize the pedal...
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Chapter and Conference Paper
Application of Information Network and Control Network Integration Technology in Central Air Conditioning Data Management System
With the rapid development of intelligent buildings and the continuous improvement of management requirements, demand for real-time information management and rationality of the storage strategy design in a ce...
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Chapter and Conference Paper
Application of Extreme Learning Machine to Visual Diagnosis of Rapeseed Nutrient Deficiency
The nondestructive and accurate diagnosis of nutrient deficiency is the key to the adoption of appropriate remedial measures in agriculture. This paper proposes an intelligent visual diagnosis technique for t...
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Chapter and Conference Paper
LP-HD: An Efficient Hybrid Model for Topic Detection in Social Network
Social topic detection and analysis has always been one of the hot topics in data mining. In recent years, with the rapid development of Internet technology, the coverage and information volume of social netwo...
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Chapter and Conference Paper
Epileptic Seizure Detection Based on Time Domain Features and Weighted Complex Network
Epileptic seizure detection is one of the important steps in diagnosis of epilepsy. Excellent automatic detection algorithm of epilepsy will help healthcare workers to better treat epilepsy patients, which has...
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Chapter and Conference Paper
A New Epileptic Seizure Detection Method Based on Fusion Feature of Weighted Complex Network
Epileptic seizure detection plays an important role in the diagnosis of epilepsy. High-performance automatic detection method of epilepsy can reduce the workload of medical workers clinically, which has import...
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Chapter and Conference Paper
A Novel Detection of Ventricular Tachycardia and Fibrillation Based on Degree Centrality of Complex Network
With the increasing number of cardiovascular disease, some scholars studied it deeply and found that vast majority of sudden cardiac death was due to ventricular fibrillation (VF) or sustained ventricular tach...
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Chapter and Conference Paper
A New Epileptic Seizure Detection Method Based on Degree Centrality and Linear Features
With the increasing incidence of epilepsy, we need to detect the epilepsy with high efficiency to avoid the disease attack. In this paper, we proposed two novel feature extraction methods for automatic epilept...
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Chapter and Conference Paper
A Method to Detecting Ventricular Tachycardia and Ventricular Fibrillation Based on Symbol Entropy and Wavelet Analysis
Detection of ventricular tachycardia (VT) and ventricular fibrillation (VF) is crucial for the success of saving the patient’s life. In this paper, we proposed a novel method for detection of VF and VT, based ...
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Chapter and Conference Paper
The Feature Extraction Method of EEG Signals Based on the Loop Coefficient of Transition Network
High accuracy of epilepsy EEG automatic detection has important clinical research significance. The combination of nonlinear time series analysis and complex network theory made it possible to analyze time ser...
