Xmecap: Meme caption generation with sub-image adaptability

Y Chen, S Yan, Z Zhu, Z Li, Y Xiao - Proceedings of the 32nd ACM …, 2024 - dl.acm.org
Humor, deeply rooted in societal meanings and cultural details, poses a unique challenge
for machines. While advances have been made in natural language processing, real-world …

[PDF][PDF] Graph neural network recommendation system for football formation

Z Wang, Y Zhu, Z Li, Z Wang, H Qin… - Applied Science and …, 2024 - researchgate.net
In usual, the flow of a football game have different phase, and change from one to another,
and the coach is due to observe them, understand and solve the tasks in the game by using …

Predicting stock prices with finbert-lstm: Integrating news sentiment analysis

W jun Gu, Y hao Zhong, S zun Li, C song Wei… - Proceedings of the …, 2024 - dl.acm.org
The stock market's ascent typically mirrors the flourishing state of the economy, whereas its
decline is often an indicator of an economic downturn. Therefore, for a long time, significant …

Harnessing earnings reports for stock predictions: A qlora-enhanced llm approach

H Ni, S Meng, X Chen, Z Zhao, A Chen… - … Conference on Data …, 2024 - ieeexplore.ieee.org
Accurate stock market predictions following earnings reports are crucial for investors.
Traditional methods, particularly classical machine learning models, struggle with these …

Adapi: Facilitating dnn model adaptivity for efficient private inference in edge computing

T Zhou, J Zhao, Y Luo, X Xie, W Wen, C Ding… - arXiv preprint arXiv …, 2024 - arxiv.org
Private inference (PI) has emerged as a promising solution to execute computations on
encrypted data, safeguarding user privacy and model parameters in edge computing …

Advanced AI framework for enhanced detection and assessment of abdominal trauma: Integrating 3D segmentation with 2D CNN and RNN models

L Jiang, X Yang, C Yu, Z Wu… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Trauma is a significant cause of mortality and diagnostic methods for traumatic injuries, such
as X-rays, CT scans, and MRI, are often time-consuming and dependent on medical …

Dynamic fraud detection: Integrating reinforcement learning into graph neural networks

Y Dong, J Yao, J Wang, Y Liang… - 2024 6th International …, 2024 - ieeexplore.ieee.org
Financial fraud refers to the act of obtaining financial benefits through dishonest means.
Such behavior not only disrupts the order of the financial market but also harms economic …

Deep learning in medical image classification from mri-based brain tumor images

X Liu, Z Wang - 2024 IEEE 6th International Conference on …, 2024 - ieeexplore.ieee.org
Brain tumors are among the deadliest diseases in the world. Magnetic Resonance Imaging
(MRI) is one of the most effective ways to detect brain tumors. Accurate detection of brain …

Ethical frontiers in artificial intelligence: navigating the complexities of bias, privacy, and accountability

Z Li - International Journal of Engineering and Management …, 2024 - indianjournals.com
The rapid advancement of artificial intelligence (AI) technologies has ushered in a new era
of innovation and efficiency, but it has also raised profound ethical questions that challenge …

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 …