Slope displacement forecasting is crucial for geotechnical early warning. Conventional deterministic models cannot adapt easily to real-time monitoring, and large deep-learning models demand extensive data and compute. We leverage IBM's Tiny Time Mix... read more
Single-molecule imaging was developed to resolve behaviours obscured by ensemble averaging, but early tracking experiments typically captured only brief temporal windows, restricting analysis to individual states rather than the progression between t... read more
Precise survival risk stratification for bladder urothelial carcinoma (BUC) remains a clinical challenge. We developed and validated a multimodal AI agent that integrates textual, radiographic, and pathological data from 1185 patients across four med... read more
The FUCCI sensor fluorescently labels cell cycle phases, which is essential to assess normal and abnormal cell-cycle progression in physiological and pathological conditions of developing organisms. However, accurate cell-cycle decoding is challengin... read more
Speech Emotion Recognition is essential for human-computer interaction, as it enables the automated system to recognize the emotion of the individual from the speech. In order to improve the quantity, diversity, and quality of the speech dataset that... read more
Accurate and reliable fire detection in indoor environments is critical for ensuring timely emergency responses and enhancing safety in both residential and industrial settings. While recent advances in deep learning have significantly improved fire ... read more
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