Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 33 min ago
Peer-reviewedCC BYSensors (Basel, Switzerland)

SeTFiN: Self-Data Generation and Temporal-Frequency Fusion for Multivariate Sensor Time-Series Forecasting

Related

  1. Just for FUNS: LLM-Guided Spatio-Temporal Graph Node Generation for Forecasting Unobserved Node States
    Shuhao Li, Weidong Yang, Changan Liu +4
    arXivPreprintCC BY-NC-ND 4.0Full textStatisticsarXiv
  2. Nearly Transform-Limited Pulse-Like Temporal and Narrowband Spectral Responses in Sum-Frequency Generation from Bright Twin Beams
    Yujiro Eto
    arXivPreprintarXiv licenceFull textOptics & photonicsQuantum physics & quantum informationarXiv
  3. Efficient Multivariate Time-Series Forecasting via Latency-Constrained Distillation and Dynamic Pruning
    Yuting Bai, Xixian Zhang, Jianlei Kong +2
    Entropy (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
  4. Unified Cross-Variable Correlation Learning for Long-Term Multivariate Time Series Forecasting
    Fengrong Tang, Qinghui Wang, Jiang Chang +3
    Sensors (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
  5. Improved Forecasting for Multivariate Time Series using GNAR models with General Inverse Distance Weights
    Hengxu Liu, Guy P. Nason, Sourav Das +1
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
BibTeX
@article{anon2026setfin,
  title = {{SeTFiN: Self-Data Generation and Temporal-Frequency Fusion for Multivariate Sensor Time-Series Forecasting}},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13667724},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - SeTFiN: Self-Data Generation and Temporal-Frequency Fusion for Multivariate Sensor Time-Series Forecasting
PY  - 2026
DA  - 2026/09/23
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13667724
SN  - 1424-8220
ER  -