390 Result(s)
within
Conference Paper
Yi**ang Chen
Data Mining and Knowledge Discovery
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Chapter and Conference Paper
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization
In epidemic management, the unpredictable dynamics of outbreaks, the constraints of available resources, and the complexity of variable interactions pose a significant challenge in designing effective manageme...
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Chapter and Conference Paper
LenANet: A Length-Controllable Attention Network for Source Code Summarization
Source code summarization aims at generating brief description of a source code. Existing approaches have made great breakthroughs through encoder-decoder models. They focus on learning common features contain...
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Chapter and Conference Paper
Unsupervised Monocular Depth Estimation with Semantic Reconstruction Using Dual-Discriminator Generative Adversarial
Monocular depth estimation is a key issue in the field of computer vision. The unsupervised learning framework has the advantage of not requiring data labels, and has become a hot research topic. Currently, mo...
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Chapter and Conference Paper
Efficient Lightweight Network with Transformer-Based Distillation for Micro-crack Detection of Solar Cells
Micro-cracks on solar cells often affect the power generation efficiency, so this paper proposes a lightweight network for cell image micro-crack detection task. Firstly, a Feature Selection framework is propo...
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Chapter and Conference Paper
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines
Containers are quickly gaining popularity in cloud computing environments due to their scalable and lightweight characteristics. However, the problem of Resource Allocation in Container-based clouds (RAC) is m...
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Chapter and Conference Paper
A Frequency Reconfigurable Multi-mode Printed Antenna
A multi-frequency reconfigurable antenna is proposed. The designed antenna can be electronically tuned to achieve the tuning operation in the 2.4 GHz band defined by the IEEE 802.11b standard and the ultra-wid...
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Chapter and Conference Paper
Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust
EXplainable machine learning (XML) has recently emerged as a promising approach to address the inherent opacity of machine learning (ML) systems by providing insights into their reasoning processes. This paper...
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Chapter and Conference Paper
CAS-NN: A Robust Cascade Neural Network Without Compromising Clean Accuracy
Adversarial training has emerged as a prominent approach for training robust classifiers. However, recent researches indicate that adversarial training inevitably results in a decline in a classifier’s accurac...
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Chapter and Conference Paper
The Prediction Model of Water Level in Front of the Check Gate of the LSTM Neural Network Based on AIW-CLPSO
The water level in front of the check gate of water transfer projects is affected by physical factors such as rainfall, terrain and hydraulic structures. Its fluctuation trend has strong non-linear and stochas...
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Chapter and Conference Paper
Adaptive Load Frequency Control and Optimization Based on TD3 Algorithm and Linear Active Disturbance Rejection Control
This paper presents the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm optimized Linear Active Disturbance Rejection Control (LADRC) approach to tackle the problem of frequency deviation resul...
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Chapter and Conference Paper
Prior-Enhanced Network for Image-Based PM2.5 Estimation from Imbalanced Data Distribution
The effective monitoring of PM2.5, a major indicator of air pollution, is crucial to human activities. Compared to traditional physiochemical techniques, image-based methods train PM2.5 estimators by using dat...
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Chapter and Conference Paper
Intelligent Trajectory Tracking Control of Unmanned Parafoil System Based on SAC Optimized LADRC
The unmanned parafoil system has become increasingly popular in a variety of military and civilian applications due to its remarkable carrying capacity, as well as its capacity to modify its flight path by adj...
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Chapter and Conference Paper
WikiCPRL: A Weakly Supervised Approach for Wikipedia Concept Prerequisite Relation Learning
Concept prerequisite relations determine the order in which knowledge concept is learned. This kind of concept relations has been used in a variety of educational applications, such as curriculum planning, lea...
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Chapter and Conference Paper
BFTracker: A One-Shot Baseline Model with Fusion Similarity Algorithm Towards Real-Time Multi-object Tracking
The key problem of real-time tracking is to achieve the balance between the tracking accuracy and real-time inference. Currently, the one-shot tracker, which joins multiple tasks into a single network, achieve...
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Chapter and Conference Paper
Ultra-DPC: Ultra-scalable and Index-Free Density Peak Clustering
Density-based clustering is a fundamental and effective tool for recognizing connectivity structure. The density peak, the data object with the maximum density within a predefined sphere, plays a critical role...
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Chapter and Conference Paper
Dynamic Mining of Wireless Network Information Transmission Security Vulnerabilities Based on Spatiotemporal Dimension
In order to improve the efficiency of dynamic mining for wireless network information transmission security vulnerabilities and improve the accuracy of mining results, this paper proposes a dynamic mining meth...
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Chapter and Conference Paper
Neural-Symbolic Recommendation with Graph-Enhanced Information
The recommendation task is not only a problem of inductive statistics from data but also a cognitive task that requires reasoning ability. The most advanced graph neural networks have been widely used in recom...
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Chapter and Conference Paper
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling
Genetic Programming (GP) is a well-known technique for generating dispatching rules for scheduling problems. A simple and cost-effective local search technique for many-objective combinatorial optimization pro...
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Chapter and Conference Paper
Design of Adaptive Detection Algorithm for Mobile Social Network Security Vulnerability Based on Static Analysis
In order to improve the accuracy of adaptive detection of security vulnerabilities in mobile social networks and achieve the ideal effect of high-precision adaptive detection of vulnerabilities, static analysi...
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Chapter and Conference Paper
Artificial Intelligences on Automated Context-Brain Recognition with Mobile Detection Devices
In the past few decades, lots of studies were proposed on investigations of brain circuits for physical health, mental health, educational learning, controlling system and so on. However, very few studies conc...
