Signal-Centric Remote Sensing via Alternative Preprocessing and Acoustic Processing for ML-Driven Applications

cs.LG, cs.RO

Submitted: 2026-09-17

Updated: 2026-09-17

Comments: 7 pages, 9 figures, 3 tables. Published in Proc. IEEE SoutheastCon 2025, pp. 1078-1084, doi: 10.1109/SoutheastCon56624.2025.10971547

Journal ref: L. Luna, S. Jansen-Sánchez, I. Demirkiran, and L. Ghelarducci, "Signal-Centric Remote Sensing via Alternative Preprocessing and Acoustic Processing for ML-Driven Applications," in Proc. IEEE SoutheastCon 2025, pp. 1078-1084, 2025

DOI: 10.1109/SOUTHEASTCON56624.2025.10971547

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks