A. Resample the time-series data to a uniform sampling rate and directly concatenate it with the text embeddings.

B. Ignore the time-series data and train the model only on the text descriptions.

C. Use a dynamic time warping (DTW) algorithm to align the time-series data with the text descriptions and then use a cross-modal attention mechanism for fusion.

D. Average the time-series data over a fixed time window and concatenate it with the text embeddings.

E. Train separate models for time-series and text and average their predictions.