Pretrained Financial Language Model-Guided Multimodal Sensing with Hardware Provenance and Cross-Frequency Temporal Alignment for Event Prediction
- DOI
- 10.3390/s26175330
- Published
- 2026-08-22
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26175330,
title = {Pretrained Financial Language Model-Guided Multimodal Sensing with Hardware Provenance and Cross-Frequency Temporal Alignment for Event Prediction},
author = {Siyu Chen and Zhenrui Tian and Chenyan Zhu and Ruoyao Liu and Xianglong Pan and Jiahang Han and Yan Zhan},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26175330},
url = {https://doi.org/10.3390/s26175330}
}RIS
TY - JOUR TI - Pretrained Financial Language Model-Guided Multimodal Sensing with Hardware Provenance and Cross-Frequency Temporal Alignment for Event Prediction AU - Siyu Chen AU - Zhenrui Tian AU - Chenyan Zhu AU - Ruoyao Liu AU - Xianglong Pan AU - Jiahang Han AU - Yan Zhan PY - 2026 JO - Sensors DO - 10.3390/s26175330 UR - https://doi.org/10.3390/s26175330 ER -
APA
Chen, S., Tian, Z., Zhu, C., Liu, R., Pan, X., Han, J., & Zhan, Y. (2026). Pretrained Financial Language Model-Guided Multimodal Sensing with Hardware Provenance and Cross-Frequency Temporal Alignment for Event Prediction. Sensors. https://doi.org/10.3390/s26175330
Source records
- crossref · retrieved 2026-09-24T21:21:43.566Z