Search Results for author:
Found 5 papers, 0 papers with code
Enhancing Text Authenticity: A Novel Hybrid Approach for AI-Generated Text Detection
Our approach aims to address the challenges associated with detecting AI-generated text by leveraging the strengths of both traditional feature extraction methods and state-of-the-art deep learning models.
Utilizing Deep Learning to Optimize Software Development Processes
This study explores the application of deep learning technologies in software development processes, particularly in automating code reviews, error prediction, and test generation to enhance code quality and development efficiency.
The application of Augmented Reality (AR) in Remote Work and Education
With the rapid advancement of technology, Augmented Reality (AR) technology, known for its ability to deeply integrate virtual information with the real world, is gradually transforming traditional work modes and teaching methods.
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.
Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble
In the realm of consumer lending, accurate credit default prediction stands as a critical element in risk mitigation and lending decision optimization.
