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Evaluating interaction mechanics in virtual reality gaming: from user studies to design recommendations

Srebot, Sara Haramina, Emilia Skorin-Kapov, Lea Škarica, Darian

2026

By utilizing six-degrees-of-freedom (6DoF) interaction, virtual reality (VR) gaming often places greater demands on both the user's motor skills and cognitive resources compared to gaming on non-immersive platforms. Satisfying VR interaction mechanic…

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Frontiers in Virtual Reality Vol. 7

DOI10.3389/frvir.2026.1833901 pISSN2673-4192

Repozitorij FER-a

design recommendations game mechanics player experience quality of experience user experience virtual reality VR-induced symptoms and effects workload

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Geometry-Aware Trajectory State Modeling for Few-Shot Action Recognition

Miao, Zhiqi Haralović, Marko Levendeev, Stanislav Angadi, Sarvesh Ferdous, Jannatul Ploesteanu, Dan-Cristian Guo, Jiapan Talavera, Estefania

2026-10-14

Few-shot action recognition (FSAR) requires representations that expose discriminative motion dynamics from only a few labeled videos. Recent trajectory-based methods leverage long-term point tracks for explicit temporal correspondence, but often tre…

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2027 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

2027 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2027

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Few-shot action recognition Trajectory state modeling 2.5D trajectories Motion dynamics Local geometric interactions Spatio-temporal modeling Video understanding

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Day-ahead market scheduling strategy of a virtual power plant under the single imbalance pricing scheme via stochastic robust optimization

García-Cerezo, Álvaro Miljan, Petra Pandžić, Hrvoje

2026

The high integration of renewable energy technologies in power systems represents a challenge due to the uncertainty in their production. In most European markets, producers should comply with their scheduled operation or face the penalties imposed t…

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Energy economics Vol. 163

DOI10.1016/j.eneco.2026.109627 eISSN1873-6181 pISSN0140-9883

Repozitorij FER-a

Battery Green hydrogen Robust optimization Single imbalance pricing mechanism Stochastic programming Renewable energy sources Virtual power plant

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Comparative analysis of machine-learning methods for prediction of pilot performance during startle events from neuropsychophysiological features of stress resilience and cognitive task scores

Gambiraža, Mate Popović, Siniša Kurtak, Matej Ćosić, Krešimir

2026

Introduction: Unexpected startle events can impair pilot perception, decision-making, and performance during time-critical flight operations, making objective predictors of individual vulnerability relevant to next-generation air combat. Methods: Fif…

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Frontiers in physiology Vol. 17

DOI10.3389/fphys.2026.1879388 eISSN1664-042X

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Navigation in cross-reality: the effects of VR teleportation visualizations on MR participants in a collaborative setting

Brzica, Lea Matanović, Filip Skorin-Kapov, Lea Škarica, Darian

2026-09-20

Effective collaboration across virtual and mixed reality environments depends heavily on how users perceive and understand one another's actions and movements. In this paper, we evaluate how different teleportation visualization techniques for a virt…

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Virtual reality

DOI10.1007/s10055-026-01494-0 eISSN1434-9957 pISSN1359-4338

Repozitorij FER-a

Teleport visualization Cross-reality Navigation Mixed reality Virtual reality User experience Collaboration

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Parameter-Efficient Neural Differential Equation Solvers via the Horner Scheme

Matulić, Tomislav Seršić, Damir

2026-10-02

We propose a parameter-efficient neural architecture for solving differential equations that restricts the hypothesis class to Horner-factorized polynomials, yielding an implicit, differentiable solution representation with only a small set of learna…

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IEEE access Vol. 14, str. 152641–152660

DOI10.1109/access.2026.3739468 eISSN2169-3536

Repozitorij FER-a

Differential equations Horner scheme neural networks piecewise polynomial approximation scientific machine learning

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SHAP-GSD: Temporal Multi-Granular Explanation Method for Graph Neural Networks in Network Intrusion Detection

Luša, Riko Pintar, Damir Vranić, Mihaela

2026

In graph neural network (GNN)-based network intrusion detection systems (NIDS), an alert may reflect flow attributes, recent endpoint communications, or anomalous endpoint behaviour. Feature-only Shapley methods identify which flow attributes trigger…

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IEEE open journal of the Communications Society Vol. 7, str. 11714–11739

DOI10.1109/ojcoms.2026.3734159 eISSN2644-125X

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Network intrusion detection system (NIDS) graph neural network (GNN) explainability Shapley values temporal graph learning

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Improving Signal Quality in Non-Contact Electrocardiography: Novel Strategy for Motion Artifact Reduction

Stanešić, Antonio Klaić, Luka Cindrić, Dino Cifrek, Mario

2026-06-07

Capacitive electrocardiography (cECG) enables non-contact heart rate monitoring through clothing, but motion artifacts remain a critical limitation for practical applications. We present a novel motion artifact removal method using non-contact floati…

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Sensors Vol. 26, Br. 12, str. 3643–3643

DOI10.3390/s26123643 eISSN1424-8220 pISSN1424-8220

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capacitive electrodes noncontact electrodes biopotentials ECG cECG biomedical signals gamification NLMS multi-referenced NLMS QRS PLI

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Assessing Graph Data Serialization and Context Selection for Knowledge-Augmented Question Answering with Large Language Models

Horvat, Marko Kupres, Sven Leo Delimar, Marko

2026-10-07

Large language models (LLMs) can produce inaccurate answers even when relevant facts are supplied in the prompt. This study examines how graph data serialization, entity identifiers, and context selection affect factual question answering in knowledg…

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Sveučilište u Zagrebu Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva Zavod za visoki napon i energetiku

Applied sciences (Basel) Vol. 16, Br. 19

DOI10.3390/app16199919 eISSN2076-3417

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large language models knowledge graphs ontologies knowledge representation data augmentation natural language processing

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Robust evaluation of lexical, transformer, and retrieval-grounded language models for health condition identification

Bagić Babac, Marina

2026-09-14

Health condition identification from short symptom narratives remains a demanding information-systems task because useful solutions must combine representation quality, transfer robustness, retrieval support, and operational efficiency. This paper co…

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Journal of intelligent information systems Vol. -, Br. -, str. -–-

DOI10.1007/s10844-026-01092-1 eISSN1573-7675 pISSN0925-9902

Repozitorij FER-a

Disease Models Information Model Language Processing Natural Language Processing (NLP) Machine Learning Computational Linguistics Natural Language Processing in Electronic Health Records

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