Shriyank Somvanshi

According to our database1, Shriyank Somvanshi authored at least 14 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2025
Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models.
CoRR, September, 2025

Model Context Protocols in Adaptive Transport Systems: A Survey.
CoRR, August, 2025

From Tiny Machine Learning to Tiny Deep Learning: A Survey.
CoRR, June, 2025

ST-GraphNet: A Spatio-Temporal Graph Neural Network for Understanding and Predicting Automated Vehicle Crash Severity.
CoRR, June, 2025

A Comprehensive Survey on Bio-Inspired Algorithms: Taxonomy, Applications, and Future Directions.
CoRR, June, 2025

Applying MambaAttention, TabPFN, and TabTransformers to Classify SAE Automation Levels in Crashes.
CoRR, June, 2025

A Survey on Structured State Space Sequence (S4) Models.
CoRR, March, 2025

Applying Tabular Deep Learning Models to Estimate Crash Injury Types of Young Motorcyclists.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

A Survey on Generative AI in Transportation Systems Management and Operation.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Crash Severity Analysis of Child Bicyclists Using Arm-Net and Mambanet.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Comparative Analysis of Advanced AI-Based Object Detection Models for Pavement Marking Quality Assessment During Daytime.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

2024
A Survey on Kolmogorov-Arnold Network.
CoRR, 2024

A Survey on Deep Tabular Learning.
CoRR, 2024

2023
Wind Speed Forecasting for Designing Sustainable Wastewater Treatment Plants.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023


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