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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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Engineering Preprint PDF DOI

LiDAR-based Dynamic Blockage Prediction: A Data-driven Approach for Learning Interactive Bayesian Models

Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni · 2026

Vehicular sensing-based intelligence has made substantial progress in transportation systems, leading to higher levels of safety and sustainability for smart cities and autonomous systems. This paper …

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AI & Data Science Preprint PDF DOI

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants

Junan Hu, Jian Liu, Jingxiang Lai, Jiarui Hu, Yiwei Sheng, Shuang Chen, Jian Li, Dazhao Du, Song Guo · 2026

Graphical User Interface (GUI) agents have emerged as a promising paradigm for intelligent systems that perceive and interact with graphical interfaces visually. Yet supervised fine-tuning alone canno…

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AI & Data Science Preprint PDF DOI

Building Persona-Based Agents On Demand: Tailoring Multi-Agent Workflows to User Needs

Giuseppe Arbore, Andrea Sillano, Luigi De Russis · 2026

Recent advances in agentic AI are shifting automation from discrete tools to proactive multi-agent systems that coordinate multi-specialized capabilities behind unified interfaces. However, today's ag…

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AI & Data Science Preprint PDF DOI

Focus Session: Autonomous Systems Dependability in the era of AI: Design Challenges in Safety, Security, Reliability and Certification

Behnaz Ranjbar, Kirankumar Raveendiran, Sudeep Pasricha, Samarjit Chakraborty, Cecilia Carbonelli, Akash Kumar · 2026

The design of embedded safety-critical systems such as those used in next-generation automotive and autonomous platforms, is increasingly challenged by escalating system complexity, hardware-software …

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AI & Data Science Preprint PDF DOI

A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images

Yuan Fang, Yuanzhi Cai, Jagannath Aryal, Qinfeng Zhu, Hong Huang, Cheng Zhang, Lei Fan · 2026

In the segmentation of remotely sensed images, deep learning models are typically pre-trained using large image databases like ImageNet before fine-tuned on domain-specific datasets. However, the perf…

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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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Mathematics Preprint PDF DOI

Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms

Zhenjie Ren, Xiaoli Wei, Xiang Yu, Xun Yu Zhou · 2026

This paper is a continuation work of Ren et al. (2026) aiming to further devise q-learning algorithms for mean-field control (MFC) with controlled common noise. Based on the relaxed control formulatio…

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Computer Science Preprint PDF DOI

One Size Fits All? An Empirical Comparison of ADR Templates regarding Comprehension, Usability, and Ease of Adoption

Fernando Nogueira, Nabson Silva, Tayana Conte · 2026

Context: Documenting Architectural Design Decisions (ADDs) is a critical factor in the software lifecycle, essential for efficient system maintenance, developer onboarding, and preventing knowledge va…

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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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Computer Science Preprint PDF DOI

On (In)approximability of MaxMin Independent Set Reconfiguration

Hung P. Hoang, Naoto Ohsaka, Rin Saito, Yuma Tamura · 2026

In the Independent Set Reconfiguration problem under the Token Addition/Removal rule, given a graph $G$ and two independent sets $I$ and $J$ of $G$, we want to transform $I$ into $J$ by adding and rem…

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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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AI & Data Science Preprint PDF DOI

Automatic Causal Fairness Analysis with LLM-Generated Reporting

Alessia Berarducci, Eric Rossetto, Alessandro Antonucci, Marco Zaffalon · 2026

AutoML, intended as the process of automating the application of machine learning to real-world problems, is a key step for AI popularisation. Most AutoML frameworks are not accounting for the potenti…

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Physics Preprint PDF DOI

Early Evolution of Earth-Directed Coronal Mass Ejections in the Vicinity of Coronal Holes

Suresh Karuppiah, Mateja Dumbovic, Karmen Martinic, Manuela Temmer, Stephan G. Heinemann, Bojan Vrsnak · 2026

We investigate the deflection and rotation behavior of 49 Earth-directed coronal mass ejections (CMEs) spanning the period from 2010 to 2020 aiming to understand the potential influence of coronal hol…

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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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Mathematics Preprint PDF DOI

Components of strata of k-differentials and their orbit closures

Paul Apisa, Juliet Aygun · 2026

We obtain a complete classification of components of strata of holomorphic and meromorphic k-differentials. We show that, when genus is at least two and outside of explicit exceptions when k < 4, ther…

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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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Mathematics Preprint PDF DOI

Positive mass theorem for initial data sets with arbitrary ends

Tin-Yau Tsang · 2026

We showed a positive energy theorem for asymptotically flat initial data sets with the concept of spectral PSC by He-Shi-Yu, Bi-Hao-He-Shi-Zhu and Brendle-Wang. Then, we proved a quantitative shieldin…

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Computer Science Preprint PDF DOI

Partially Finite Model Reasoning in Description Logics Extended Version

Tomasz Gogacz, Filip Murlak, Marcin Przyby{l}ko, Alexandra Rogova, Micha{l} Skrzypczak · 2026

Aiming to harmonise finite and infinite model reasoning, we initiate the study of partially finite models, where the reasoning task comes with a formula that specifies a part of the model that must be…

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