Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
The dual-track analysis confirms that the Jordanian Paradox is influenced by deeply rooted, intersecting institutional ...
Abstract: Stock price movement prediction is challenging due to unpredictable fluctuations and the significant impact of market sentiment and news. Accurate prediction models can enhance investor ...
The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
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