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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 ยท 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 (UAVsโ€ฆ

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Computer Science Preprint PDF DOI

When and How AI Should Assist Brainstorming for AI Impact Assessment

Jarod Govers, Sanja Scepanovic, Daniele Quercia ยท 2026

A key task in AI practice is to assess potential impacts to prevent harm. Current AI tools assisting AI impact assessment have not been designed or evaluated for collaborative team brainstorming, and โ€ฆ

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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 ยท 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 couโ€ฆ

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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 ยท 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 mโ€ฆ

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AI & Data Science Preprint PDF DOI

Nonlinear Probabilistic Forecast Reconciliation

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

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

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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 ยท 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 bโ€ฆ

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Physics Preprint PDF DOI

Studying spherical collapse and its implications in the Eddington-inspired Born-Infeld gravity theory

A. M Velasquez-Toribio ยท 2026

We investigate spherical collapse in Eddington-inspired Born--Infeld (EiBI) gravity in the subhorizon, pressureless, and quasi-static regime, emphasizing the matter-gradient correction that appears inโ€ฆ

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Mathematics Preprint PDF DOI

A bound-preserving oscillation-eliminating discontinuous Galerkin scheme for compressible two-phase flow

Jia-Jun Zou, Fan Zhang, Yu-Chang Liu, Qi Kong, Yun-Long Liu, A-Man Zhang ยท 2026

This paper presents a high-order bound-preserving oscillation-eliminating discontinuous Galerkin (BP-OEDG) scheme for simulating gas-gas and gas-liquid two-phase flows governed by the Kapila five-equaโ€ฆ

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AI & Data Science Preprint PDF DOI

SAMe: A Semantic Anatomy Mapping Engine for Robotic Ultrasound

Jing Zhang, Duojie Chen, Wentao Jiang, Zihan Lou, Jianxin Liu, Xinwu Cui, Qinghong Zhao, Bo Du, Christoph F. Dietrich, Dacheng Tao ยท 2026

Robotic ultrasound has advanced local image-driven control, contact regulation, and view optimization, yet current systems lack the anatomical understanding needed to determine what to scan, where to โ€ฆ

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Mathematics Preprint PDF DOI

GIT quotient of minimal dimensional Schubert variety modulo a subtorus

Arkadev Ghosh, S. S. Kannan ยท 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,nโ€ฆ

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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 ยท 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 Hamilโ€ฆ

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AI & Data Science Preprint PDF DOI

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution

David Zahradka, David Woller, Denisa Muzikova, Miroslav Kulich, Libor Preucil ยท 2026

During the execution of Multi-Agent Path Finding (MAPF) plans in real-life applications, the MAPF assumption that the fleet's movement is perfectly synchronized does not apply. Since one or more of thโ€ฆ

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Computer Science Preprint PDF DOI

Grouped Color Deletion, Lasserre Exactness and Clique-Sum Locality for Rainbow Matching

Georgios Stamoulis ยท 2026

We study the rainbow matching (RM) problem: given an edge-colored graph, find a maximum matching with at most one edge of each color. Rainbow matchings correspond to stable sets in the \emph{augmentedโ€ฆ

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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 ยท 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 jointlyโ€ฆ

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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 ยท 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 introduceโ€ฆ

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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 ยท 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 onlyโ€ฆ

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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 ยท 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. Iโ€ฆ

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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 ยท 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 forciโ€ฆ

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AI & Data Science Preprint PDF DOI

Dialysis Risk Prediction and Treatment Effect Estimation for AKI patients using Longitudinal Electronic Health Records

Kalyani P. Pande, Evan Yang, Bryan Zhu, Sandeep K. Mallipattu, Alisa Yurovsky, Tengfei Ma ยท 2026

Progression to dialysis or end-stage renal disease is a rare but clinically important outcome. Clinicians need evidence on how medication exposures influence downstream risk. We constructed a fixed-wiโ€ฆ

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AI & Data Science Preprint PDF DOI

CMGL: Confidence-guided Multi-omics Graph Learning for Cancer Subtype Classification

Boyang Fan, Hengchuang Yin, Siyu Yi, Yifan Wang, Zhicheng Li, Leijiyu Zhou, Jiancheng Lv, Wei Ju ยท 2026

Motivation: Multi-omics integration can improve cancer subtyping, but modality informativeness and noise vary across cancer types and patients. Existing graph-based methods optimize modality weights jโ€ฆ

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