This study presents a time-series forecasting framework that integrates queuing-based operation indicators to improve vessel turnaround time prediction accuracy by up to 28%. Rather than directly ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
In the wake of the disruptive debut of DeepSeek-R1, reasoning models have been all the rage so far in 2025. IBM is now joining the party, with the debut today of its Granite 3.2 large language model ...
Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
This study presents a time-series forecasting framework that integrates queuing-based operation indicators to improve vessel turnaround time prediction accuracy by up to 28%. Rather than directly ...
According to IBM, attention is not all you need when forecasting certain outcomes with generative AI. You also need time. Earlier this year, IBM made its open-source TinyTimeMixer (TTM) model ...
Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage. Time series ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback