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Feature Processing Methods: Recent Advances and Future Trends

Year: 2025

Type: article

Abstract: This paper reviews recent advances and future trends in feature processing methods within the field of artificial intelligence. With the rapid development of deep learning and big data technologies, feature processing has become essential for enhancing AI model performance. We begin by revisiting traditional feature processing methods, then focus on deep learning-based feature extraction techniques, automated feature engineering, and the application of feature processing in specific domains. The article also analyzes the current research challenges and outlines future development directions, offering structured insights for both researchers and practitioners across disciplines

Source: Journal of Clinical Medical and Experimental Images

DOI: 10.29328/journal.jcmei.1001035

Authors: Bai Lufeng, Bai Shiying

Language: English

Topic: Machine Learning and Data Classification

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4409240194

FWCI:

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