69 Result(s)
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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
An fMRI study on how decisions are influenced by affective evaluations from different social hierarchical positions
Expectation States Theory suggests that social status carries emotions, with higher statuses producing positive emotions and lower statuses leading to negative emotions. However, the theory is broad and lacks ...
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Article
NERS_HEAD: a new hybrid evolutionary algorithm for solving graph coloring problem
The graph coloring problem is an NP-hard problem. Currently, one of the most effective methods to solve this problem is a hybrid evolutionary algorithm. This paper proposes a hybrid evolutionary algorithm NERS...
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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
GroupShop: monitoring group shop** behavior in real world using mobile devices
In brick-and-mortar stores, customers often shop in small groups, which may be more common compared with shop** alone. Retailers in these physical stores, however, do not have effective methods to recognize ...
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Chapter and Conference Paper
Space Robotic Arm Joint Design and Experimental Method Research
In this paper, a space robotic arm joint for in-orbit operation is designed. Due to the special characteristics of the space environment, environmental adaptability is considered by optimizing material selecti...
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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...
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Chapter and Conference Paper
Visual Scene-Aware Dialogue System for Cross-Modal Intelligent Human-Machine Interaction
Adequate perception and understanding of the user’s visual context is an important part of a robot’s ability to interact naturally with humans and achieve true anthropomorphism. In this paper, we focus on the ...
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Chapter
Towards an Enhanced and Lightweight Face Authentication System
Face recognition is one of the most well-adopted ways to verify someone’s identity, which however might be spoofed by presenting for example a fake image or video. Therefore, it is essential to include additio...
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Chapter and Conference Paper
Scene Adaptive Persistent Target Tracking and Attack Method Based on Deep Reinforcement Learning
As an intelligent device integrating a series of advanced technologies, mobile robots have been widely used in the field of defense and military affairs because of their high degree of autonomy and flexibility...
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Article
A migratory behavior and emotional preference clustering algorithm based on learning vector quantization and gaussian mixture model
Clustering based on swarm intelligence optimization plays a central role in engineering and mathematics. The ordinary emotional preference migration model has failed to achieve a good cluster effect and easily...
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Article
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network
Various user behaviors are providing valuable information for user interest modeling in online information platforms. For the phenomenon that some kinds of behavior data are insufficient to express users’ pref...
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Article
Depth map super-resolution based on edge-guided joint trilateral upsampling
Depth image super-resolution (DISR) is a significant yet challenging task. In this paper, we propose a novel edge-guided framework for color-guided DISR aiming at reducing the artifacts caused by the introduce...
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Chapter and Conference Paper
Research on Stress Analysis of Flexspline in Harmonic Drive
This paper takes shg-20 cup type flexible wheel harmonic reducer as the research object. Based on the theory of elastic thin-walled shell, the deformation and stress of the flexible wheel of the harmonic reduc...
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Chapter and Conference Paper
Flattened Joint Design Analysis Technology for Exoskeleton
Exoskeleton joint, in order to achieve high torque density, the first components can be modular fusion design, position sensor and motor modular fusion, position sensor directly embedded in the motor, to achie...
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Chapter and Conference Paper
The Performance Influence of Stator Structure for Five Phase Fault Tolerant PMSM
In this paper, finite element simulation software is used to optimize the stator of five-phase fault-tolerant motor, and the influence of tooth width, notch width, groove shoulder Angle and yoke isolation groo...
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Chapter and Conference Paper
Attention Skip Connection Dense Network for Accurate Iris Segmentation
As a key step in the iris recognition process, iris segmentation directly affects the accuracy of iris recognition. How to achieve accurate iris segmentation under various environmental conditions is a big cha...
