296 Result(s)
within
English
Artificial Intelligence
Computational Intelligence
**-**a Ding
Chapter
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Chapter
Exploring the Influence of Guangdong Culture on Consumer Attitudes in Online Shop**
Guangdong culture as a significant influencing factor, plays a certain moderating role in consumer attitudes toward online shop**. The unique cultural background of Guangdong, encompassing its values and soc...
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Chapter and Conference Paper
Prediction of Gas-Liquid Flow Parameters in Pipes Based on Physics-Informed Neural Network
Gas-liquid two-phase flow is a prevalent phenomenon in unmanned industrial settings, and understanding the vortex behavior in pipes is crucial for its analysis and prediction. The occurrence of vortex is intri...
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Chapter and Conference Paper
Model Predictive Control Based on Dynamic Event-Triggered Mechanism for DC-DC Buck Converters
The article proposes a dynamic event-triggered model predictive control (DET-MPC) method is proposed for DC-DC converters. The model prediction is executed once the trigger condition is met, and subsequently, ...
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Chapter and Conference Paper
Parameter Learning Algorithms of Hammerstein Nonlinear Systems
This paper deals with the modeling and parameter estimation of Hammerstein systems from samples of input and output data. Compared with the previous work which needs to identify the parameter vectors separatel...
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Chapter and Conference Paper
Intelligent Manufacturing Transformation Development Strategy of Jilin City Automobile Industry: A Research Based on SWOT-AHP Model
This paper proposes the development strategy for Intelligent manufacturing transformation, with the help of both SWOT analysis and AHP analysis, in the case of focusing on the Jilin city Automobile Industry. F...
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Chapter and Conference Paper
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion
Knowledge graphs contain rich knowledge about various entities and the relational information among them, while temporal knowledge graphs (TKGs) describe and model the interactions of the entities over time. I...
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Chapter and Conference Paper
A Lightweight Detail-Fusion Progressive Network for Image Deraining
The performance of image deraining algorithms has been significantly improved by introducing deep learning-based methods. However, their network structures have become more complicated and diverse, making it d...
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Chapter and Conference Paper
Drone Altitude Control with Reinforcement Learning
In this paper, we build a simulated flight environment based on PyBullet continuous control tasks. Soft Actor-Critic (SAC) algorithm was selected as the final algorithm after testing and comparison. The model ...
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Chapter and Conference Paper
A New Four-Dimensional Discrete Chaotic System Is Used for S-Box Masking
FPGA-based S-box chaotic masking needs to call the multiplier IP core during multiplication, which will take up a lot of resources. Therefore, this paper proposes a new four-dimensional discrete chaotic system...
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Chapter and Conference Paper
Fast Parameter Estimation Algorithm for the Signal Modeling Based on Equation Solution
Sine signals are used widely in many application. This paper presents a fast signal parameter identification algorithm in terms of the feature parameters of the sine wave with an initial phase. In order to avo...
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Chapter and Conference Paper
The Computing Chips in Unmanned Systems from Electron to Photon
The unmanned systems enable to complete collaboratively complex tasks within a certain time and space. All these real-time tasks require chips with high-capacity, large calculation ability, and low latency for...
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Chapter and Conference Paper
Cooperative Search Path Planning for Multiple Unmanned Surface Vehicles
Due to the advantages of unmanned surface vehicles (USVs) with wide communication range, faster speed and high flexibility, USV formations are considered suitable for fast target search missions in marine envi...
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Chapter and Conference Paper
Acceleration Intention Recognition of Pure Electric Vehicle Based on SVM and Optimization Algorithm
The recognition of vehicle acceleration intention is beneficial to improve vehicle driving performance and reduce energy consumption. Support vector machine (SVM) has been widely used in the field of vehicle a...
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Chapter and Conference Paper
Quantitative Analysis of Coordination Between Inter-City Rail Transit and Urban Planning Based on Fractal Theory
Inter-city rail transit largely guides and influences the construction of urban agglomerations. In order to better realize the coordinated development of regional integration, this paper takes fractal geometry...
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Chapter and Conference Paper
Design and Implementation of Scalable Power Load Forecasting System Based on Neural Networks
With the continuous advancement of science and technology, artificial intelligence has gradually been applied in various fields, and forecasting power and load with artificial intelligence technology is also w...
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Chapter and Conference Paper
Air-to-Air Missile Launch Envelope Computation Based on Neural Network
A fast algorithm for computing air-to-air missile launch envelope based on neural network is proposed, which can be applied to an air combat scenario for choosing the optimal missile launch time. Firstly, the ...
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Chapter and Conference Paper
A Method of Constructing Fine-Grained Pose Evaluation Model
In the field of computer vision, human pose estimation (HPE) is an important direction. However, in some fields that require professional actions or motions, researchers will deal with poses with high diversit...
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Chapter and Conference Paper
Combined Synchronization for Fractional-Order Chaotic Systems with Time Delay
Stability is the core problem of chaotic system synchronization control. There are far fewer tools to judge the stability of fractional delay nonlinear systems than integer-order nonlinear systems. The classic...
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Chapter and Conference Paper
Modeling and Simulation of Continuous Dam** Control Shock Absorber
Continuous dam** control (CDC) shock absorber is a typical representative of stepless valve control. To solve the problem of the determination of the design parameters in the CDC shock absorber, a hydraulic ...
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Chapter and Conference Paper
Accuracy Prediction of Rainfall Using Decision Tree Algorithm and Random Forest
Climate change has made accurate rainfall forecasting more difficult than ever. In this paper, the decision tree algorithm and Random Forest is used to predict the rainfall accuracy based on historical climate...
