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Machine Translation Error Recognition of English Online Education Resources Based on Informative Text
The quality of Machine translation of English online educational resources directly affects learners’ understanding and mastery of educational... -
Automatic Classification and Sharing of Teaching Resources in English Online Teaching System Based on SVM
In order to improve the classification and sharing performance of teaching resources, an automatic classification and sharing method of teaching... -
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... -
Automatic Generation of Multidimensional Labels of Educational Resources Based on Grey Clustering
With the rapid development of Internet+education and the implementation of the “Three Connections and Two Platforms Project”, online education... -
Multi Source Collection Method of Service QoS Data for Intelligent Business English Teaching System
The on-demand recognition capability of business English teaching services is crucial for providing an efficient learning experience. However, the... -
Research on the Quality Evaluation of Online Teaching of Instrument Analysis Courses in Universities Based on Analytic Hierarchy Process
With the development of computer technology, in the field of education, a new online teaching model has been formed in order to improve flexibility... -
Intelligent Recommendation Method of Online Teaching Resources for Business English Collaborative Learning
Due to the large number of online teaching resources, the existing single AI method is difficult to quickly query the required teaching resources, so... -
Online Allocation of Python Online Teaching Resources Based on Global Search Algorithm
In order to improve the allocation performance of Python online teaching resources, improve the utilization rate of Python online teaching resources,... -
Personalized Recommendation Method of Online Distance Teaching Resources Based on User Profiles
The problem of online learning resource overload makes it difficult for online learning users to access learning resources that are of interest or... -
Research on Online Teaching Model of Chinese Traditional Culture Under ELF Concept
With the development of globalization and the Internet and digital technology, the protection, inheritance, and dissemination of traditional Chinese... -
Push Method of Chinese Online Education Personalized Course Content for Foreign Students
In order to improve the quality of Chinese online education personalized course content push service, the weighted information entropy is introduced... -
Image Dehazing Based on Online Distillation
Advanced supervised single-image dehazing models require a large number of trainable parameters and a huge amount of training data, containing a... -
Automatic Diagnosis of Age-Related Macular Degeneration via Federated Learning
Artificial intelligence has taken healthcare a step forward by providing quick diagnosis and treatment recommendations. The traditional... -
Imitation Learning of Long-Horizon Manipulation Tasks Through Temporal Sub-action Sequencing
This research proposes an approach to long-horizon manipulation which uses video and kinesthetic demonstrations to imitate human actions. The task... -
Learnable GAN Regularization for Improving Training Stability in Limited Data Paradigm
Generative adversarial networks (GAN) are generative models that require large amounts of training data to ensure a stable learning trajectory during... -
A Novel Real-Time Helmet Wearing Detection Technique of Motorcyclists Using Fine-Tuned YOLOv8 Model for Indian Urban Road Traffic
Motorcycle is a rapidly growing industry. But it has maximum fatal rate of accidents than heavy vehicles. Above 37 million of people in India use... -
GAN-Based Super-Resolution for Disease Detection in Aerial Images: A Case Study of Potato Crop
Precision agriculture requires high-resolution images to monitor crop growth and health effects. However, capturing such images from aerial platforms... -
Automated Deep Learning Technique for Accurate Detection of Regional Wall Motion Abnormality in Echocardiographic Videos
Regional wall motion abnormality (RWMA) is a significant diagnostic indicator for diagnosing heart problems, especially in cardiac imaging such as... -
Anomaly Detection Across Multiple Farms Through Remote Sensing
In effective agricultural management, monitoring crop growth is crucial. Various factors, including climate, pests, diseases, and soil variations,... -
Real Time Video Stitching Using Fixed Camera Configuration
Video stitching is crucial in multi-camera-based systems that provide 360-degree surveillance and monitoring applications. Homography estimation is...