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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …