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139 Result(s)
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Chapter and Conference Paper
Feature Implicit Enhancement via Super-Resolution for Small Object Detection
In recent years, object detection has made significant strides due to advancements in deep convolutional neural networks. However, the detection performance for small objects remains challenging. The visual in...
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Chapter and Conference Paper
DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste
The Multi-mOdality Cut and pAste (MoCa) method cuts data from other frames and pastes it onto the current training data frame to increase the number of training object samples. However, the samples used by MoC...
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Chapter and Conference Paper
Astral Body: A Virtual Reality Game for Body Ownership Investigation
As one of the most disruptive human-computer interaction techniques, Virtual Reality (VR) provides a novel way to examine human movements, e.g. when investigating Body Ownership (BO) in the field of cognitive ...
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Chapter and Conference Paper
Efficient Trajectory Planning for Coordinated Arrival of Fixed-Wing UAV Swarm
This paper proposes an efficient centralized trajectory planning algorithm for fixed-wing swarms to address the problem of coordinated arrival. A Dubins-based initial path sampling method is designed in the fr...
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Chapter and Conference Paper
Correction to: College Students’ Perceptions and Preferences Regarding Intelligent Advisory Systems in Multi-device Learning Environments
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Chapter and Conference Paper
Multi-UAV Network Logistics Task Allocation Algorithm Based on Mean-Field-Type Game
Unmanned aerial vehicles (UAVs) has become the vital driving force of logistics distribution development as an important carrier of advanced productivity. However, it is challenging to efficiently allocate log...
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Chapter and Conference Paper
Effectively Filtering Images for Better Multi-modal Knowledge Graph
The existing multi-modal knowledge graph construction techniques have become mature for processing text modal data, but lack effective processing methods for other modal data such as visual modal data. Therefo...
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Chapter and Conference Paper
Divergence and Convergence in Tense and Aspect Meanings of “guo” and “le”
The paper discusses the divergence and convergence in aspect and tense meanings via semantic feature analysis. Arguably, the divergence of the experiential marker guo过 and the actualize marker le了 are embodied in...
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Chapter and Conference Paper
College Students’ Perceptions and Preferences Regarding Intelligent Advisory Systems in Multi-device Learning Environments
With the emergence of e-learning systems, learning activities are no longer limited to a single fixed user interface. Nevertheless, college students’ multi-device learning behaviors are poorly understood. In a...
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Chapter and Conference Paper
An Efficient Feature Selection Method for High Dimensional Data Based on Improved BOA in AIoT
Feature selection can eliminate irrelevant redundant information in high-dimensional data, reduce dimensions, improve classification performance, and relieve the computational burden of machine learning. In th...
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Chapter and Conference Paper
Grounded Theory-Driven Knowledge Production Features Mining: One Empirical Study Based on Big Data Technology
Grounded theory can help scholars solve complex management problems and build a link between practice and theory and has received much attention in recent years. This paper takes CNKI as primary data source, c...
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Chapter and Conference Paper
Research Hotspots and Evolution Trend of Virtual Power Plant in China: An Empirical Analysis Based on Big Data
[Objective] Due to the 14th Five-Year Plan and the “30·60” double carbon targets advocates energy reform, the number of articles on virtual power plant (Abbreviation is VPP) has surged, the annual number of artic...
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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
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
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...