The objective assessment of mental health among university students is a critical prerequisite for effective early intervention, yet traditional diagnostic methodologies are frequently constrained by the inherent subjectivity of self-reporting. To overcome these limitations, this study proposes a novel hybrid intellige...
The proposed system and algorithms provide technical support for the sustainable design of dynamic monitoring systems in this field and achieve competitive recognition accuracy across the evaluated action categories, demonstrating its applicability and robustness in complex scenarios.
Di Dai, Yuan-Yuan Fan· Discover Artificial Intellig...· 0 citations
This work provides a comprehensive foundation for developing accurate, scalable, and comprehensible energy forecasting models for next-generation smart homes by integrating smart building system architecture, machine learning methodologies, ensemble techniques, and evaluation frameworks into a unified analytical perspe...
Amin Namvari Gharehbolagh, A. Kalam, Yuan-Yuan Fan· Journal of Electronics and E...· 0 citations
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