The impact of pricing schemes on cloud computing and distributed systems

S Zhou, B Yuan, K Xu, M Zhang, W Zheng - Journal of Knowledge Learning …, 2024‏ - jklst.org
This article investigates the economic implications of pricing models in cloud and distributed
computing systems, emphasizing their influence on system performance and user cost …

Leveraging Large Language Models for Context-Aware Product Discovery in E-commerce Search Systems

G Wang, X Ni, Q Shen, M Yang - Journal of Knowledge Learning and …, 2024‏ - jklst.org
This study presents a new way to improve product discovery in e-commerce research using
large-scale language models (LLMs) for content-aware instruction. We propose a new …

[HTML][HTML] Reinforcement Learning-Based Model for Enterprise Financial Asset Risk Assessment and Intelligent Decision-Making

C Ju, Y Zhu - Applied and Computational Engineering, 2024‏ - ewadirect.com
This study discusses the application of reinforcement learning (RL) in financial asset risk
assessment, especially how to improve the ability of risk prediction and asset portfolio …

[PDF][PDF] Integrating AI and Deep Learning for Efficient Drug Discovery and Target Identification

D Huang, M Yang, W Zheng - 2024‏ - pdfs.semanticscholar.org
Artificial intelligence (AI) shows great potential in medical diagnosis and drug analysis.
Through deep learning technology, AI can automatically extract features from large amounts …

[PDF][PDF] Federated learning for privacy-preserving medical data sharing in drug development

M Yang, D Huang, X Zhan - TBD, 2024‏ - preprints.org
This study explores the potential of Federated Learning (FL) to facilitate the sharing and
collaboration of medical data in drug development under the premise of privacy protection …

[PDF][PDF] AI-Driven Data Processing and Decision Optimization in IoT through Edge Computing and Cloud Architecture

S Zhou, J Sun, K Xu, G Wang - Journal of AI-Powered …, 2024‏ - pdfs.semanticscholar.org
This study discussion point of this paper is to make an in-depth analysis of the development
impact of the Internet of Things combined with edge computing and artificial intelligence. In …

[PDF][PDF] Enhancing Supply Chain Efficiency with Time Series Analysis and Deep Learning Techniques

J Sun, S Zhou, X Zhan, J Wu - 2024‏ - preprints.org
Accurate forecasting and efficient management of commodities are crucial for stakeholders
in the industry, given the volatile nature of these markets. This study addresses these needs …

[PDF][PDF] Application of Deep Reinforcement Learning for Cryptocurrency Market Trend Forecasting and Risk Management

F Zhao, M Zhang, S Zhou, Q Lou - Journal of Industrial Engineering …, 2024‏ - preprints.org
With the gradual development and integration of artificial intelligence into various industries,
there is also a great range of integration in the financial industry. Therefore, this article …

[PDF][PDF] Enhancing energy efficiency in green buildings through artificial intelligence

Z Feng, M Ge, Q Meng - Applied Science and Engineering Journal for …, 2024‏ - preprints.org
Artificial Intelligence (AI) is poised to revolutionize the architectural design and energy
management of green buildings, offering significant advancements in sustainability and …

Natural Language Processing in Finance: Techniques, Applications, and Future Directions

R Jagdale, M Deshmukh - Machine Learning and Modeling …, 2025‏ - igi-global.com
Abstract Natural Language Processing (NLP) has emerged as a transformative force in
finance, enabling firms to extract insights from unstructured data sources such as news …