145 Result(s)
within
**bin Guo
Computer Science
English
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Article
A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures
It is necessary to determine the input features and output results when constructing a surrogate model within the data-driven neural network. Since the law of features would be restrained when the surrogate me...
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Article
MELPD-Detector: Multi-level ensemble learning method based on adaptive data augmentation for Parkinson disease detection via free-KD
Parkinson disease (PD) is a neurodegenerative disorder which has tremor in the finger, handwriting change and so on. Tremor in the finger with PD changes the ty** pattern of subjects. Keystroke dynamics-base...
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Article
Graph convolution detection method of transmission line fitting based on orientation reasoning
To address object occlusion resulting from the density of multiple fittings in transmission lines, a novel graph convolution detection method based on orientation reasoning is proposed. Firstly, the spatial re...
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Article
Simplified algorithms for order-based core maintenance
Graph analytics attract much attention from both research and industry communities. Due to its linear time complexity, the k-core decomposition is widely used in many real-world applications such as biology, soci...
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Article
ContinuousSensing: a task allocation algorithm for human–robot collaborative mobile crowdsensing with task migration
Mobile crowdsensing (MCS) represents a novel and innovative sensing paradigm. With the advancement of the Internet of Things (IoT) and communication technologies, an increasing number of robots are also equipp...
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Article
Open AccessAn Overestimation Reduction Method Based on the Multi-step Weighted Double Estimation Using Value-Decomposition Multi-agent Reinforcement Learning
The joint action-value function (JAVF) plays a key role in the centralized training of multi-agent deep reinforcement learning (MADRL)-based algorithms using the value function decomposition (VFD) and in the g...
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Article
EvolveKG: a general framework to learn evolving knowledge graphs
A great many practical applications have observed knowledge evolution, i.e., continuous born of new knowledge, with its formation influenced by the structure of historical knowledge. This observation gives ris...
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Chapter and Conference Paper
A Novel Framework for Adaptive Quadruped Robot Locomotion Learning in Uncertain Environments
Learning diverse and flexible locomotion strategies in uncertain environments has been a longstanding challenge for quadruped robots. Although recent progress in domain randomization has partially tackled this...
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Chapter and Conference Paper
Autonomous Communication Decision Making Based on Graph Convolution Neural Network
As a method of multi-agent system cooperation, multi-agent communication can help agents negotiate and adjust behavior decisions by exchanging information such as observation, intention, or experience during o...
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Chapter and Conference Paper
Emotion Recognition in Dance: A Novel Approach Using Laban Movement Analysis and Artificial Intelligence
Dance, as a highly expressive form of art, conveys intense emotions through bodily movements and postures. In the field of human-computer interaction, the automated recognition of dance movements poses a signi...
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Article
DeepApp: characterizing dynamic user interests for mobile application recommendation
It is extremely difficult to find one app in app stores that exactly meets the needs of users with the boom in mobile applications nowadays. Although numerous app recommendation services are available, they ma...
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Article
Multi-level feature fusion pyramid network for object detection
Scale variation is one of the challenges in object detection. In this paper, we design a Multi-Level Feature Fusion Pyramid Network (MLFFPN) that can fuse features with different receptive fields so as to prod...
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Article
Open AccessHMPT: a human–machine cooperative program translation method
Program translation aims to translate one kind of programming language to another, e.g., from Python to Java. Due to the inefficiency of translation rules construction with pure human effort (software engineer...
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Article
A Monte Carlo manifold spectral clustering algorithm based on emotional preference and migratory behavior
Inspired by various behaviors of creatures in nature, numerous efficient bionic algorithms are designed for dealing with complex clustering problems. As a population-based intelligence bionic optimization mode...
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Article
Retraction Note: Cloud platform wireless sensor network detection system based on data sharing
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Article
Multi-agent mobile crowdsensing by pervasive machines: a robust task allocation approach
Mobile crowd sensing (MCS) is an attractive and innovation paradigm in which a crowd of users equipped with smart mobile devices conduct sensing tasks by fully exploiting their carried diverse embedded sensors...
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Article
Human-in-the-loop machine learning with applications for population health
Though technical advance of artificial intelligence and machine learning has enabled many promising intelligent systems, many computing tasks are still not able to be fully accomplished by machine intelligence...
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Chapter and Conference Paper
An AI-Based Action Detection UAV System to Improve Firefighter Safety
Human hazardous fires can inflict massive harm to life, property, and the environment. Close contact with fire sources threatens firefighters’ lives who are critical first responders to fire suppression and re...
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Chapter and Conference Paper
Aesthetics-Diven Online Summarization to First-Person Tourism Videos
Nowadays video blog (vlog) has gradually become popular. In scenarios such as tourism, many vloggers use mobile terminals to record first-person videos, which have redundant information, complex scenes and con...
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Chapter and Conference Paper
TKGAT: Temporal Knowledge Graph Representation Learning Using Attention Network
Temporal knowledge graph representation learning models can capture more comprehensive semantic information, which has higher practical application value and gradually attracts wide attention. However, the exi...
