193 Result(s)
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Chapter and Conference Paper
Lagrange Heuristic Algorithm Incorporated with Decomposition Strategy for Green Multi-depot Heterogeneous-Fleet Vehicle Routing Problem
Aiming at the green multi-depot heterogeneous-fleet vehicle routing problem (GMDHFVRP), a mixed integer programming model (MIP) was established to minimize the total cost, and a Lagrange heuristic algorithm in...
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Chapter and Conference Paper
Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction
Feature interaction networks are crucial for click-through rate (CTR) prediction in many applications. Extensive studies have been conducted to boost CTR accuracy by constructing effective structures of models...
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Chapter and Conference Paper
Multi-sensor Data Fusion for UAV Landing Based on Federal Variational Bayesian Filtering
This paper proposes a multi-sensor positioning technology for unmanned aerial vehicle (UAV) landing based on inertial navigation system (INS)/Global navigation satellite system (GNSS)/Radar integrated guidance...
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Chapter and Conference Paper
AIPSO-Based Dynamic Node Deployment Strategy for Sensor Networks
The deployment of mobile nodes is one of the effective monitoring methods. Multipath routing in dynamic node deployment is an optimization problem. The standard PSO takes a long time to solve and is easy to fa...
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Chapter and Conference Paper
Collision Avoidance Formation Control of Fixed-Wing UAVs with Nonholonomic Kinematic Constraints
In this paper, a distributed formation control strategy based on fixed-wing UAVs under collision avoidance and nonholonomic kinematic constraints is proposed. Firstly, considering that the fixed-wing UAVs cann...
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Chapter and Conference Paper
Blind Perceptual Quality Assessment for Single Image Motion Deblurring
Single image deblurring is a typical ill-posed problem. Although a lot of effective algorithms have been proposed, there is a lack of blind evaluation metrics for the perceptual quality of deblurred images. In...
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Chapter and Conference Paper
A Multimodal Deep Fusion Network for Mobile Traffic Classification
With the explosive growth of mobile traffic and the demand for privacy protection and network security, mainstream mobile applications use encryption protocols (mostly TLS), so identifying mobile encrypted tra...
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Chapter and Conference Paper
A Prototype System for Blockchain Performance Evaluation
Due to complex blockchain programs and numerous blockchain nodes, it takes a huge amount of time and economic cost to conduct blockchain experiments. Existing open source projects do not support modifications ...
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Chapter and Conference Paper
Patient-Friendly Medical Data Security Sharing Scheme Based on Blockchain and Proxy Re-encryption
In recent years, with the wide application of blockchain technology, blockchain-based medical data sharing has become a major hot spot in the current research on medical data sharing. Using the decentralized, ...
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Chapter and Conference Paper
A Blockchain-Based Scheme for Efficient Medical Data Sharing with Attribute-Based Hierarchical Encryption
Most of the traditional medical information management system adopt centralized storage and management. So, there are some problems such as single point of failure and data sharing difficulty. Considering the ...
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Chapter and Conference Paper
AI-Driven Intent-Based Networking for 5G Enhanced Robot Autonomy
Innovative 5G orchestration architectures so far, have been mainly designed and optimized for Quality of Service (QoS), but are not aware of Quality of Experience (QoE). This makes intent recognition and End-t...
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Chapter and Conference Paper
DDG-Based Optimization Metrics for Defect Prediction
Software defect prediction helps improve software quality and allocate software test resources reasonably. Many defect prediction models based on software metrics have been proposed. However, the existing soft...
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Chapter and Conference Paper
Design of Online Teaching System for Theory of Variable Order Fractional Gradient Descent Method
The functional modules of the online teaching system of healthy law theory are not perfect enough, and there are some limitations in practical application. Aiming at the problem of poor operation of online tea...
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Chapter and Conference Paper
Design and Analysis of a Novel Magnetic Adhesion Robot with Passive Suspension
The steel lining of large facilities is an important structure that experiences extreme environments and requires periodical inspection after manufacture. However, due to the complexity of their internal envir...
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Chapter and Conference Paper
Suspension Control of Maglev Train Based on Extended Kalman Filter and Linear Quadratic Optimization
In recent years Maglev transport has received more and more attention because of its green, environmentally friendly and wide speed domain. The suspension control system is one of the core components of a Magl...
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Chapter and Conference Paper
CNNs with Compact Activation Function
Activation function plays an important role in neural networks. We propose to use hat activation function, namely the first order B-spline, as activation function for CNNs including MgNet and ResNet. Different...
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Chapter and Conference Paper
Research and Application of Edge Resource Allocation Algorithm of Power Internet of Things Based on SDN
With the maturity and promotion of edge computing technology, more and more computing functions in the Internet of Things are decentralized to the edge, but edge resources are facing the challenge of low resou...
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Chapter and Conference Paper
Opemod: An Optimal Performance Selection Model for Prediction of Non-stationary Financial Time Series
It is a critical challenge in financial time series analysis to reduce noise and forecast future stock prices. In this paper, we propose Opemod, an optimal performing selection model to predict and adaptively ...
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Chapter and Conference Paper
Sparsity-Regularized Geometric Mean Metric Learning for Kinship Verification
Kinship verification through face images is a challenging research problem in biometrics. In this paper, we propose a sparsity-regularized geometric mean metric learning (SGMML) method to improve the well-know...
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Chapter and Conference Paper
MobiCFNet: A Lightweight Model for Cattle Face Recognition in Nature
In smart livestock, precision livestock systems require efficient and safe non-contact cattle identification methods in daily operation and management. In this paper, we focus on lightweight Convolutional Neur...
