Deep multi-view clustering: A comprehensive survey of the contemporary techniques

Information Fusion, Journal Year: 2025, Volume and Issue: unknown, P. 103012 - 103012

Published: Feb. 1, 2025

Language: Английский

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Multi-modal data integration of dosiomics, radiomics, deep features, and clinical data for radiation-induced lung damage prediction in breast cancer patients

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101389 - 101389

Published: March 3, 2025

Language: Английский

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The Optimization of Advertising Content and Prediction of Consumer Response Rate Based on Generative Adversarial Networks

Journal of Organizational and End User Computing, Journal Year: 2025, Volume and Issue: 37(1), P. 1 - 30

Published: March 22, 2025

In digital advertising, accurately capturing consumer preferences and generating engaging, personalized content are essential for effective ad optimization. However, traditional methods often rely on single-modal data or static models, limiting their adaptability to dynamic behavior complex, multi-dimensional preferences. To address these challenges, we propose a Multi-modal Adaptive Generative Adversarial Network Ad Optimization Response Prediction (MAGAN-ORP). MAGAN-ORP integrates multi-modal data—including text, image, behavioral features—into unified framework, enabling comprehensive understanding of The model includes an adaptive feedback mechanism that dynamically refines based real-time interactions, ensuring relevancy in evolving environments. Additionally, response prediction module anticipates user engagement, allowing proactive optimization strategies.

Language: Английский

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Analysis of Higher Vocational English Learners’ Behavioral Characteristics and Teaching Content Optimization Strategies Based on Big Data Mining

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract In the context of big data era, study massive accumulated in information construction higher vocational colleges and universities can provide convenience for teaching management universities. By improving K-means clustering algorithm Apriori mining technology, article mines English learning behaviors laws learners explores correlation between learners’ behavioral characteristics performance. Finally, through empirical testing, this paper proposes an optimization strategy content education. comparative analysis reading writing pre-test post-test scores experimental class control class, score comprehension students is 31.25, 32.84, average has increased by 1.59, which be obtained that been improved after with proposed paper.

Language: Английский

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Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt

Published: Dec. 27, 2024

Language: Английский

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