The Research on Intelligent News Advertisement Recommendation Algorithm Based on Prompt Learning in End-to-End Large Language Model Architecture

Y Gan, D Zhu - Innovations in Applied Engineering and Technology, 2024 - ojs.sgsci.org
With the explosive growth of information on the internet, users are increasingly facing the
problem of information overload, making precise news and ad recommendations an …

[PDF][PDF] A novel framework for text-image pair to video generation in music anime douga (mad) production

Z Luo, F Chen, X Chen, X Pan - Artificial Intelligence Advances, 2024 - researchgate.net
The rapid growth of digital media has driven advancements in multimedia generation,
notably in Music Anime Douga (MAD), which blends animation with music. Creating MADs …

End-to-End Learning-Based Study on the Mamba-ECANet Model for Data Security Intrusion Detection

H Zhang, D Zhu, Y Gan, S Xiong - Journal of Information, Technology …, 2024 - ojs.sgsci.org
With the rapid development of information technology, network security issues have become
increasingly prominent. In particular, data security intrusions pose serious threats to the data …

Intelligent vehicle classification system based on deep learning and multisensor fusion

X Li, Y Yang, Y Yuan, Y Ma… - … on Computer Vision …, 2024 - spiedigitallibrary.org
With the rapid development of Intelligent Transportation Systems (ITS), vehicle type
classification, as a key link in Automatic Toll Collection systems (ATC), is of great …

Machine Learning-based Fault Prediction and Diagnosis of Brushless Motors

X Chen, M Wang, H Zhang - Engineering Advances, 2024 - hillpublisher.com
This paper presents a machine learning-based approach for predicting and diagnosing
faults in brushless motors. By utilizing extensive sensor data and employing algorithms such …

Emotional Value in Experiential Marketing: Driving Factors for Sales Growth–A Quantitative Study from the Eastern Coastal Region

C Li, Y Tang - Economics & Management Information, 2024 - ojs.sgsci.org
This quantitative research investigates the impact of perceived emotional value in luxury
experiential marketing, particularly its influence on the likelihood of repeat purchases …

[PDF][PDF] Optimization of Mobile Robot Delivery System Based on Deep Learning

X Chen, Y Gan, S Xiong - Journal of Computer Science Research, 2024 - researchgate.net
In modern logistics and delivery systems, mobile robot delivery systems have garnered
significant attention due to their efficiency and flexibility. However, existing robot delivery …

Enhancing Organizational Performance: Harnessing AI and NLP for User Feedback Analysis in Product Development

T Tian, H Zichen, Y Tang - arXiv preprint arXiv:2405.04692, 2024 - arxiv.org
This paper explores the application of AI and NLP techniques for user feedback analysis in
the context of heavy machine crane products. By leveraging AI and NLP, organizations can …

On filling the intra-class and inter-class gaps for few-shot segmentation

Y Zhang, S Wang, Z Shi, W Yang - Expert Systems with Applications, 2025 - Elsevier
Few-shot segmentation (FSS) has made remarkable success through prototypical learning.
However, owing to the scarcity of support data, FSS methods continue to suffer from huge …

[HTML][HTML] Structure-Based Training: A Training Method Aimed at Pixel Errors for a Correlation-Coefficient-Based Neural Network

J Su, W He, Y Wang, Z Bu, T Zhang - Sensors, 2024 - mdpi.com
In research on building a one-shot learning neural network without pre-training using mass
data, the limitation on the information obtained from a single training sample downgrades …