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AI & Data Science Preprint PDF DOI

Neural Aided Kalman Filtering for UAV State Estimation in Degraded Sensing Environments

Akhil Gupta, Erhan Guven · 2026

Accurate state estimation of nonlinear dynamical systems is fundamental to modern aerospace operations across air, sea, and space domains. Online tracking of adversarial unmanned aerial vehicles (UAVs…

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AI & Data Science Preprint PDF DOI

MSR:Hybrid Field Modeling for CT-MRI Rigid-Deformable Registration of the Cervical Spine with an Annotated Dataset

Bohai Zhang, Wenjie Chen, Mu Li, Kaixing Long, Xing Shen, Xinqiang Yao, Jincheng Yang, Jianting Chen, Wei Yang, Qianjin Feng, Lei Cao · 2026

Accurate CT-MRI registration of the cervical spine is essential for preoperative planning because this region is anatomically complex,highly variable,and vulnerable to injury of the vertebral arteries…

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AI & Data Science Preprint PDF DOI

ZAYAN: Disentangled Contrastive Transformer for Tabular Remote Sensing Data

Al Zadid Sultan Bin Habib, Tanpia Tasnim, Md. Ekramul Islam, Muntasir Tabasum · 2026

Learning informative representations from tabular data in remote sensing and environmental science is challenging due to heterogeneity, scarce labels, and redundancy among features. We present ZAYAN (…

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Engineering Preprint PDF DOI

Stability Analysis and Data-Driven State Estimation for Generalized Persidskii Systems with Time Delays: Theory and Experimental Validation on PMSM Drives

Syed Pouladi · 2026

This paper addresses the stability analysis and state estimation of generalized Persidskii systems subject to time-varying delays and external disturbances. The generalized Persidskii class, which cou…

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Engineering Preprint PDF DOI

PM-EKF: A Physiological Model-Based Extended Kalman Filter for Daily-Life Physical Activity Energy Expenditure Estimation

Shuhao Que, Remco Poelarends, Valentina Breschi, Ying Wang · 2026

Monitoring physical activity energy expenditure (PAEE) in daily life is essential for characterizing individual health and metabolic status. Although indirect calorimetry provides gold-standard PAEE m…

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AI & Data Science Preprint PDF DOI

Nonlinear Probabilistic Forecast Reconciliation

Anubhab Biswas, Lorenzo Zambon, Lorenzo Nespoli, Giorgio Corani · 2026

Forecast reconciliation adjusts independently generated forecasts so that they satisfy some known constraints. While probabilistic forecast reconciliation is well established for linear constraints, s…

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AI & Data Science Preprint PDF DOI

PiGGO: Physics-Guided Learnable Graph Kalman Filters for Virtual Sensing of Nonlinear Dynamic Structures under Uncertainty

Marcus Haywood-Alexander, Gregory Duthe, Eleni Chatzi · 2026

Digital twins provide a powerful paradigm for diagnostic and prognostic tasks in the monitoring and control of engineered systems; however, their deployment for complex structures remains challenged b…

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Physics Preprint PDF DOI

Revisiting the mixing length scaling in pressure-gradient turbulent boundary layers via a symmetry approach

Weitao Bi · 2026

A century after Prandtl's mixing length hypothesis, full-profile scaling of the mixing length in pressure-gradient turbulent boundary layers (PG TBLs) remains debated, especially for adverse pressure …

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AI & Data Science Preprint PDF DOI

MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification

Mohammed Q. Alkhatib, Ali Jamali · 2026

Over the past decade, hyperspectral image (HSI) classification has drawn considerable interest due to HSIs' ability to effectively distinguish terrestrial objects by capturing detailed, continuous spe…

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Mathematics Preprint PDF DOI

GIT quotient of minimal dimensional Schubert variety modulo a subtorus

Arkadev Ghosh, S. S. Kannan · 2026

Let $G=PSL(n,\mathbb{C})$. Let $T$ be a maximal torus of $G$. Let $\omega_{r}$ denote the $r^{th}$ fundamental weight. Let $\mathcal{L}(n\omega_{r})$ denote the line bundle on the Grassmannian $G_{r,n…

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Mathematics Preprint PDF DOI

Approximations of the Mortensen observer using higher order extended Kalman filters

Tobias Breiten, Justus Ramme, Jesper Schroder · 2026

A polynomial approximation of the minimum energy estimator, also called Mortensen observer, is discussed. The method relies on successive differentiations of an underlying value function and the Hamil…

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Economics & Finance Preprint PDF DOI

Corporate Bond Yield Curve Modeling: A Rating-Based Regime-Switching Generalized CIR Approach

Maochun Xu, Yunqi Liang, Yi Hong · 2026

Persistent shifts in term-structure dynamics undermine the stability of single-regime models in long samples. We develop an arbitrage-free regime-switching generalized CIR (RS-GCIR) model that jointly…

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AI & Data Science Preprint PDF DOI

Golden RPG: Confidence-Adaptive Region-Aware Noise for Compositional Text-to-Image Generation

Hao Li · 2026

Compositional text-to-image (T2I) generation requires a model to honour multiple sub-prompts that describe distinct image regions. Recent work shows that the \emph{starting noise} of a diffusion model…

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Computer Science Preprint PDF DOI

Digital Twin-assisted belief-state reinforcement learning for latency-robust ISAC in 6G networks

Himanshu Tiwari, Binayak Kar, Priyanshu Tiwari · 2026

Integrated Sensing and Communication (ISAC) enables joint data transmission and environmental perception for sixth-generation (6G) networks, but centralized and virtualized RAN control loops introduce…

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Mathematics Preprint PDF DOI

A Continuous-Time Ensemble Kalman-Bucy Smoother for Causal Inference and Model Discovery

Zhang Jiang, Marios Andreou, Sebastian Reich, Nan Chen · 2026

Data assimilation (DA) integrates observational information with model predictions to improve state estimation in complex systems. While filtering provides the basis for online forecasts by using only…

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Mathematics Preprint PDF DOI

Dual Control of Linear Systems from Bilinear Observations with Belief Space Model Predictive Control

Daniel Cao, Beixi Du, Andrew Lowitt, Sunmook Choi, Sarah Dean, Yahya Sattar · 2026

We study finite-horizon quadratic control of linear systems with bilinear observations, in which the control input affects not only the state dynamics but also the partial observations of the state. I…

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Engineering Preprint PDF DOI

Reduced-Order Data Assimilation for Thermospheric Density Using Physics-informed SINDyc Models

Sriram Narayanan, Daniele Sicoli, Piyush Mehta · 2026

Accurate estimation of thermospheric mass density is a prerequisite for orbit prediction and space situational awareness, where the upper atmosphere responds nonlinearly to solar and geomagnetic forci…

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Computer Science Preprint PDF DOI

Adaptive Swin Transformer Partitioning over AI-RAN Networks

Tam Thanh Nguyen, Yong Hao Pua, Tuan Van Ngo, Mao V. Ngo, Jihong Park, Binbin Chen, Tony Q. S. Quek · 2026

This paper demonstrates the feasibility of transformer-based split inference for real-time video object detection over dynamic 5G AI-RAN networks. We extend throughput-aware adaptive splitting from CN…

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Physics Preprint PDF DOI

High-Precision Ground Characterization of Test-Mass Magnetic Properties for the Taiji Gravitational Wave Mission via a Physics-Informed Neural Framework

Chang Liu, Qiong Deng, Huadong Li, Liwei Yang, Xiaodong Peng, Ziren Luo, Yuzhu Zhang, Chen Gao, Xiaotong Wei, Minghui Du, Zihao Xiao, Peng Xu, Bo Liang, Zhi Wang, Li-e Qiang · 2026

Taiji is a gravitational wave detection mission in space initiated by the Chinese Academy of Sciences, which will open the millihertz window through a heliocentric triangular constellation of three dr…

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Mathematics Preprint PDF DOI

T Extended Weakly Contractive, Kannan, and Geraghty Mappings Fixed Points, Equivalences,

Fatemeh Fogh, Sara Behnamian · 2026

We develop a unified T-extended framework for weakly contractive, weakly Kannan, and Geraghty classes of self-maps S on a metric space (X, d), where distances are measured on the auxiliary image via d…

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