[PDF][PDF] Optimization of logistics cargo tracking and transportation efficiency based on data science deep learning models

A Li, S Zhuang, T Yang, W Lu, J Xu - Applied and Computational …, 2024 - preprints.org
With the digital transformation of the logistics industry, smart logistics algorithms have
become a core technology to improve efficiency and reduce costs. This paper reviews the …

Enhancing bank credit risk management using the C5. 0 decision tree algorithm

Q Xin, R Song, Z Wang, Z Xu, F Zhao - Journal of Computer …, 2024 - suaspress.org
This paper discusses the relationship between financial fraud risk and credit risk in China's
financial market, and points out that financial statement fraud has a serious impact on the …

[PDF][PDF] Application of deep learning-based intrusion detection system (IDS) in network anomaly traffic detection

F Zhao, H Li, K Niu, J Shi, R Song - Appl. Comput. Eng, 2024 - preprints.org
This study discusses the application of deep learning technology in network intrusion
detection systems (IDS) and focuses on a new model named CNN-Focal. First, through the …

Edge computing and AI-driven intelligent traffic monitoring and optimization

B Wang, H Zheng, K Qian, X Zhan… - Applied and …, 2024 - ewadirect.com
Intelligent transportation system is a comprehensive system engineering, involving real-time
data processing, security and privacy protection and other challenges. This paper discusses …

Research on splicing image detection algorithms based on natural image statistical characteristics

A Xiang, J Zhang, Q Yang, L Wang, Y Cheng - arXiv preprint arXiv …, 2024 - arxiv.org
With the development and widespread application of digital image processing technology,
image splicing has become a common method of image manipulation, raising numerous …

Task-agnostic detector for insertion-based backdoor attacks

W Lyu, X Lin, S Zheng, L Pang, H Ling, S Jha… - arXiv preprint arXiv …, 2024 - arxiv.org
Textual backdoor attacks pose significant security threats. Current detection approaches,
typically relying on intermediate feature representation or reconstructing potential triggers …

Comprehensive Evaluation of Multimodal AI Models in Medical Imaging Diagnosis: From Data Augmentation to Preference-Based Comparison

C Ruan, C Huang, Y Yang - arXiv preprint arXiv:2412.05536, 2024 - arxiv.org
This study introduces an evaluation framework for multimodal models in medical imaging
diagnostics. We developed a pipeline incorporating data preprocessing, model inference …

Social media emotional state classification prediction based on Arctic Puffin Algorithm (APO) optimization of Transformer mode

J Xiao, W Xu, J Chen - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
This paper discusses a method to optimize the Transformer model using the Arctic Puffin
Optimization Algorithm (APO) for predicting and classifying users' emotional states. The …

Leveraging generative artificial intelligence for financial market trading data management and prediction

X Bai, S Zhuang, H Xie, L Guo - Journal of Artificial …, 2024 - woodyinternational.com
The paper explores using generative artificial intelligence (AI) in financial market data
management and forecasting. By integrating multiple data sources and feature extraction …

[PDF][PDF] Analyzing Financial Market Trends in Cryptocurrency and Stock Prices Using CNN-LSTM Models

X Zhang - 2024 - preprints.org
This article comprehensively explores multiple aspects of cryptocurrencies and their price
forecasting. Firstly, the article introduces the definition of cryptocurrency and its development …