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Deep Reinforcement Learning for On-line Dialogue State Tracking
Dialogue state tracking (DST) is a crucial module in dialogue management. It is usually cast as a supervised training problem, which is not...
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Dunhuang Mural Line Drawing Based on Multi-scale Feature Fusion and Sharp Edge Learning
Dunhuang murals are the treasures of world culture and art, world-famous and extremely valuable for research. However, this treasure of human art has...
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Assessing student engagement from facial behavior in on-line learning
The automatic monitoring and assessment of the engagement level of learners in distance education may help in understanding problems and providing...
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Learning Styles and On-Line Learning Analytics: An Analysis of Student Behaviour Based on the Honey and Mumford Model
This paper presents an analysis of student behaviour on a Learning Management System (LMS), as observed by means of learning analytics, and compares...
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Multitarget Detection Algorithm of UHV Line Fitting Infrared Image Based on YOLOv5
AbstractGansu section of Qishao UHV DC line accounts for 52.4% of the total line length, and manual inspection is time consuming and laborious. This...
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Synchronous composition and semantic line detection based on cross-attention
Composition detection and semantic line detection are important research topics in computer vision and play an important auxiliary role in the...
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Transmission Line Visual Inspection Method Based on Neural Network Online Learning
In order to ensure the visual inspection effect of transmission line and improve the accuracy and effectiveness of transmission line visual...
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Key Elements of On-Line Cyber Security Exercise and Survey of Learning During the On-Line Cyber Security Exercise
Cyber security exercises have experienced broad evolution in their relatively short lifetime. Cyber security exercises have been changing from...
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On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork
It is essential for agents to work together with others to accomplish common objectives, without pre-programmed coordination rules or previous...
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Power Line Detection Based on Feature Fusion Deep Learning Network
Nowadays, the network of transmission lines is gradually spreading all over the world. With the popularization of UAV and helicopter applications, it...
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SSE-YOLOv5: a real-time fault line selection method based on lightweight modules and attention models
To address the problems of low precision and poor anti-noise performance of the standard route selection method for the small current grounding...
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Transmission line defect detection based on feature enhancement
Defects in power transmission lines affect the safety operation of devices and the reliability of power supply. Automatic visual detection of defects...
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Effectiveness of AI-assisted game-based learning on science learning outcomes, intrinsic motivation, cognitive load, and learning behavior
This study aimed to investigate the effectiveness of using AI-assisted game-based learning on science learning outcomes, intrinsic motivation,...
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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...
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Real-time power line segmentation detection based on multi-attention with strong semantic feature extractor
Power line is an important part of the transmission line, is the only carrier of power transmission, so the detection of power lines is to ensure the...
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Face photo-sketch recognition based on multi-directional line features projection
Face photo-sketch recognition plays an important role in law enforcement, particularly in narrowing down the search for potential suspects based on...
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Transmission line abnormal target detection algorithm based on improved YOLOX
The detection of anomalous targets in transmission lines is an important research topic for industrial applications and power grid construction....
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On Line Teaching Data Classification Method for Ramp Control Specialty in Universities Based on Machine Learning Model
In order to improve the accuracy of online teaching data classification results and provide comprehensive technical guidance and help for the...
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On the improvement of handwritten text line recognition with octave convolutional recurrent neural networks
Off-line handwritten text recognition (HTR) poses a significant challenge due to the complexities of variable handwriting styles, background...
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The effects of self-efficacy, academic stress, and learning behaviors on self-regulated learning in blended learning among middle school students
Self-regulated learning ability is an important determinant of the effectiveness of blended learning. However, little research has been done on...
