92 Result(s)
within
**Shu Li
Artificial Intelligence
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Article
SimAC: simulating agile collaboration to generate acceptance criteria in user story elaboration
In agile requirements engineering, Generating Acceptance Criteria (GAC) to elaborate user stories plays a pivotal role in the sprint planning phase, which provides a reference for delivering functional solutio...
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Article
BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision
Single object tracking (SOT) is a fundamental problem in computer vision, with a wide range of applications, including autonomous driving, augmented reality, and robot navigation. The robustness of SOT faces t...
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Article
Open AccessBIKAGCN: Knowledge-Aware Recommendations Under Bi-layer Graph Convolutional Networks
Recommender systems are a popular solution for the problem of information overload, offering personalized recommendations to users. Recent years, research has aimed to enhance recommender systems by employing ...
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Article
Attention-Guided Multi-Scale Fusion Network for Similar Objects Semantic Segmentation
Image segmentation accuracy is critical in marine ecological detection utilizing unmanned aerial vehicles (UAVs). By flying a drone around, we can swiftly determine the location of a variety of species. Howeve...
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Article
Composite fault diagnosis of traction motor of high-speed train based on support vector machine and sensor
The body of high-speed train is the most closely related part with passengers in the process of train operation. Traction motor is not only the power source of high-speed train, it is also the basic unit form ...
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Article
Optimal bandwidth allocation for web crawler systems with time constraints
Web crawler is an important tool to obtain information from the Internet in a timely manner. In a typical web crawler system with limited bandwidth, many websites are crawled with different time constraints. E...
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Article
DLW-NAS: Differentiable Light-Weight Neural Architecture Search
In recent years, the method of automatically constructing convolutional neural networks based on neural architecture search has attracted wide attention, and greatly reduces the manual intervention and the cos...
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Article
Fuzzy incomplete linguistic preference relations
The effectiveness of preference relations in modeling decision-making processes makes it one of the most common representations of information use for solving decision-making problems. This research presents t...
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Chapter and Conference Paper
A Novel Intelligent Assessment Based on Audio-Visual Data for Chinese Zither Fingerings
In this paper, we make a novel study on the intelligent assessment for Chinese zither (Zheng) fingerings in the cross field of art AI. Due to the gaps between science and art, there is a lack of deep combinati...
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Chapter and Conference Paper
Mitigating Confounding Bias for Recommendation via Counterfactual Inference
Recommender systems usually face the bias problem, which creates a gap between recommendation results and the actual user preference. Existing works track this problem by assuming a specific bias and then deve...
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Article
Exploring real-time fault detection of high-speed train traction motor based on machine learning and wavelet analysis
The implementation of real-time fault detection technology for key components of high-speed train traction electromechanical system is of great significance for improving train motor reliability and reducing g...
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Chapter and Conference Paper
Acousto-Optic Collaborative Beacon Based Underwater Vehicle Recognition and Automatic Tracking
For the optical detection, tracking and shooting requirements of ROVs, UUVs and other underwater vehicles, an acousto-optic beacon based underwater vehicle recognition and automatic tracking technology is prop...
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Chapter and Conference Paper
Preliminary Research on Evaluation Index of Professional Adaptability for Airline Transport Pilot
Combining with the professional characteristics of airline transport pilots and requirements of implementing pilots’ Professionalism Lifecycle Management (PLM) system put forward by Civil Aviation Administrati...
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Chapter and Conference Paper
Mitigating Popularity Bias in Recommendation via Counterfactual Inference
Popularity bias is a common problem in recommender systems. Existing research mainly tracks this problem by re-weighting training samples or leveraging a small fraction of unbiased data. However, the effect of...
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Chapter and Conference Paper
Deep Reinforcement Learning Based Iterative Participant Selection Method for Industrial IoT Big Data Mobile Crowdsourcing
With the massive deployment of mobile devices, crowdsourcing has become a new service paradigm in which a task requester can proactively recruit a batch of participants with a mobile IoT device from our system...
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Chapter and Conference Paper
Inductive Light Graph Convolution Network for Text Classification Based on Word-Label Graph
Nowadays, Graph Convolution Networks (GCNs) have flourished in the field of text classification, such as Text Graph Convolution Network (TextGCN). But good performance of those methods is based on building a g...
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Chapter
State Transition Field: A New Framework for Mobile Dynamic Caching
In this chapter, we present research on dynamic probabilistic caching. First, we establish a theoretic model, i.e., the state transition field (STF) theory. The STF characterizes the dynamic change of the cach...
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Chapter and Conference Paper
Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network
With a massive rise of user-generated web content on social media, the amount of hate speech is also increasing. Countering online hate speech is a critical yet challenging task. Previous research has primaril...
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Chapter
Introduction
In this chapter, we first provide an overview of the Internet of Things from the perspectives of connected devices, use cases, deployment efforts, and technical advancement. Then, connectivity and edge computi...
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Chapter and Conference Paper
CZ-Base: A Database for Hand Gesture Recognition in Chinese Zither Intelligence Education
Training proper hand shapes is the key to learning a musical instrument, and a timely feedback plays an important role in improving the efficiency for trainees. In this paper, we establish a comprehensive data...
