Kendall N. Niles

Orcid: 0009-0007-2925-8856

According to our database1, Kendall N. Niles authored at least 13 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
Few-Shot Learning in Video and 3D Object Detection: A Survey.
CoRR, July, 2025

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting.
CoRR, July, 2025

FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks.
CoRR, July, 2025

Physics-Informed Neural Network Surrogate Models for River Stage Prediction.
CoRR, March, 2025

SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
Application of Deep Learning for Segmenting Seepages in Levee Systems.
Remote. Sens., July, 2024

Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network.
CoRR, 2024

SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes.
CoRR, 2024

Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models.
CoRR, 2024

KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements.
Proceedings of the 4th International Conference on AI-ML Systems, 2024

2023
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation.
CoRR, 2023

Dual-Stream Attention Transformers for Sewer Defect Classification.
CoRR, 2023

Deep Learning Approach for Accurate Segmentation of Sand Boils in Levee Systems.
IEEE Access, 2023


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