BACKGROUND: The Human Exposome Project (HEP) aims to chart lifelong environmental exposures and their biological consequences, furnishing the environmental counterpart to the genomic revolution. Yet the fine‑grained, multimodal data streams that fuel... read more
This study investigates Distributed Denial-of-Service (DDoS) attack detection within smart home environments using both traditional machine learning and deep learning approaches. Real smart home traffic data, collected approximately 11.5 h of normal ... read more
This dataset documents and classifies academic programs in data science offered by higher education institutions in the Midwestern United States prior to widespread adoption of generative artificial intelligence tools (up to 2023). Detailed program-l... read more
Accurate prediction of real estate prices remains a major challenge due to dynamic market conditions and the limitations of traditional valuation methods. Empirical studies that directly compare human experts, machine learning (ML) models, and hybrid... read more
Accurate and real-time estimation of the state of charge (SoC) is critical for ensuring the performance, safety, and longevity of lithium-ion batteries in electric vehicles (EVs). This research work presents an Uncertainty-Aware Hybrid Learning Frame... read more
Accurate identification of rock mass fractures is essential for evaluating tunnel stability and ensuring construction safety. However, existing deep learning-based approaches frequently exhibit limited performance in challenging tunnel environments a... read more
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