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A hybrid BiLSTM-transformer-GCN architecture with API fusion for adaptive transportation resource analytics
Mohammed Saad Javeed1, Arindam Kishor Biswas2, Md Nahid Hasan3
1Information Science, Trine University, Michigan, Allen Park, United States of America.
Plos One
|May 29, 2026
Summary
A new hybrid deep learning framework enhances Intelligent Transportation Systems (ITS) by improving real-time resource discovery and classification. This adaptive system effectively manages complex spatiotemporal data, outperforming existing methods.
Failed At:
2026-06-19T13:40:41.043758+00:00
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