Applying the model to other data sources with different

The gap

Evidence profile

Stated in the cells future research section of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 3 representative gaps

• Deep learning for multi-step forecasting of stratospheric wind and temperature profiles over the Tibetan plateau (2026) · Frontiers in Astronomy and Space Sciences · doi

  To evaluate the model's ability to generalize to other regions and datasets. - To improve the model's performance using additional data and techniques, such as data augmentation and transfer learning. - To apply the model to other weather forecasting and climate modeling applications.

  generalstated in cells future researchevidence 5/5
  Keywords: evaluate model ability generalize other regions datasets improve
• YOLO11s-EER: a lightweight small target detection algorithm for ship detection in remote sensing imagery (2026) · Multimedia Systems · doi

  To further verify the model's generalization capability, testing it on more datasets is needed. - To address the scarcity of data for extreme environments such as rain, fog, and nighttime in the real world.

  generalstated in cells future researchevidence 5/5
  Keywords: further verify model generalization capability testing datasets needed
• A 30-year ocean front dataset from 1993 to 2023 for the Northwest Pacific Ocean based on deep learning (2026) · Earth System Science Data · doi

  Applying the model to other data sources with different characteristics. - Evaluating the performance of the model in different regions and climates.

  generalstated in cells future researchevidence 4/5
  Keywords: applying model other data sources different characteristics evaluating

Questions about this gap