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Comprehensive evaluation of Mal-API-2019 dataset by machine learning in malware detection
This study conducts a thorough examination of malware detection using machine learning techniques, focusing on the evaluation of various classification models using the Mal-API-2019 dataset.
The Random Forest Model for Analyzing and Forecasting the US Stock Market in the Context of Smart Finance
The stock market is a crucial component of the financial market, playing a vital role in wealth accumulation for investors, financing costs for listed companies, and the stable development of the national macroeconomy.
AI-Driven Anonymization: Protecting Personal Data Privacy While Leveraging Machine Learning
It achieves personal data privacy protection and detection through the use of machine learning's differential privacy protection algorithm.
Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
Finally, in this paper, the strategy is implemented by selecting the assets and actions with the largest Q value.
