Transformer self-attention encoder-decoder with multimodal deep learning for response time series forecasting and digital twin support in wind structural health monitoring

This is a niche academic implementation applying standard Transformer architectures to a specific civil engineering problem (wind-induced bridge vibration). While the domain expertise is valuable, the software implementation lacks a moat, community, or unique dataset that would prevent replication. Frontier labs are unlikely to target this specific industrial application.