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๐Ÿ” tal schuster ๐Ÿ“‚ Engineering
Showing 1154 results for "tal schuster" in Engineering
Engineering Preprint PDF DOI

Semantics-Aware Hierarchical Token Communication: Clustering, Bit Mapping, and Power Allocation

Jihoon Lee, Seungeun Oh, Jihong Park, Seong-Lyun Kim, Seung-Woo Ko ยท 2026

Despite the rise of token communication (TokCom) as a new paradigm beyond traditional bit communication, existing approaches have primarily adopted artificial intelligence (AI)-centric designs that reโ€ฆ

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Engineering Preprint PDF DOI

BUT System Description for CHiME-9 MCoRec Challenge

Dominik Klement, Alexander Polok, Nguyen Hai Phong, Prachi Singh, Lukas Burget ยท 2026

Multi-talker automatic speech recognition (ASR) in conversational recordings remains an open problem, particularly in scenarios with large portion of overlapping speech where identifying and transcribโ€ฆ

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Engineering Preprint PDF DOI

Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity

Erik Faust, Lisa Scheunemann ยท 2026

In this article, we propose a simple and efficient hyperreduced strain-space model order reduction (MOR) approach for hyperelastic representative volume elements (RVEs), called Empirical Material Sampโ€ฆ

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Engineering Preprint PDF DOI

EVT-Based Generative AI for Tail-Aware Channel Estimation

Parmida Valiahdi, Niloofar Mehrnia, Walid Saad, Sinem Coleri ยท 2026

Ultra-reliable and low-latency communication (URLLC) will play a key role in fifth-generation (5G) and beyond networks, enabling mission-critical applications. Meeting the stringent URLLC requirementsโ€ฆ

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Engineering Preprint PDF DOI

Decentralized Heterogeneous Multi-Robot Collaborative Exploration for Indoor and Outdoor 3D Environments

Yuxiang Li, Kun Chen, Jiancheng Wang, Shihao Fang, Haoyao Chen, Yunhui Liu ยท 2026

Heterogeneous multi-robot systems feature significant adaptability for complex environments. However, effective collaboration that fully exploits the robots' potential remains a core challenge. This pโ€ฆ

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Engineering Preprint PDF DOI

Large Language Model based Interactive Decision-Making for Autonomous Driving

Xinwei Dong, Jiyang Li, Jiabin Xie, Yang Yi, Tianshang Jia, Shiyu Fang, Ye Tian, Peng Hang ยท 2026

In high-conflict mixed-traffic scenarios involving human-driven and autonomous vehicles, most existing autonomous driving systems default to overly conservative behaviors, lack proactive interaction, โ€ฆ

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Engineering Preprint PDF DOI

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley ยท 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to stโ€ฆ

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Engineering Preprint PDF DOI

Learning from the Best: Smoothness-Driven Metrics for Data Quality in Imitation Learning

Soham Kulkarni, Raayan Dhar, Yuchen Cui ยท 2026

In behavioral cloning (BC), policy performance is fundamentally limited by demonstration data quality. Real-world datasets contain trajectories of varying quality due to operator skill differences, teโ€ฆ

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Engineering Preprint PDF DOI

The manifold of unitary and symmetric matrices: characterization, Riemannian optimization and application to BD-RIS design

Ignacio Santamaria, Carlos Beltran, Eduard Jorswieck, Mohammad Soleymani, Jesus Gutierrez ยท 2026

This paper proposes and analyzes Riemannian optimization algorithms on the manifold of unitary and symmetric matrices, denoted ${\cal {U}}_s$, which naturally models the scattering matrices of passiveโ€ฆ

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Engineering Preprint PDF DOI

Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems

Jiabao Ji, Yongchao Chen, Yang Zhang, Ramana Rao Kompella, Chuchu Fan, Gaowen Liu, Shiyu Chang ยท 2026

Multi-robot control in cluttered environments is a challenging problem that involves complex physical constraints, including robot-robot collisions, robot-obstacle collisions, and unreachable motions.โ€ฆ

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Engineering Preprint PDF DOI

Wildfires Quasi-Implicit Alternative-Direction Simulations using Isogeometric Finite Element Method

Juliusz Wasieleski, Tomasz S{l}uzalec, Maciej Wozniak, Marcin {L}os, Andres Medina, Paulina Sepulveda, Albert Oliver Serra, Eirik Valseth, Anna Paszynska, Maciej Paszynski ยท 2026

We develop a wildfire simulation model that evolves the temperature scalar field using an energy balance equation accounting for heat generation, transport, and loss. For these equations, we develop qโ€ฆ

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Engineering Preprint PDF DOI

Far-Field Absolute Gain Antenna Measurements at Sub-THz Frequencies: A New Interpretation

Asad Husein, Kimmo Rasilainen, Juha-Pekka Makela, Veikko Hovinen, Klaus Nevala, Aarno Parssinen, Marko E. Leinonen ยท 2026

The evolution of large aperture antennas and arrays at the sub-THz band (100-300 GHz) results in traditional far-field (FF) gain measurements to require large distances due to the high frequency naturโ€ฆ

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BreathAI: Transfer Learning-Based Thermal Imaging for Automated Breathing Pattern Recognition

Hamza Kheddar, Yassine Himeur, Abbes Amira ยท 2026

This study presents an Adaptive Transfer Learning and Thresholding-based Deep Learning Model (ATL-TDLM) for automated breathing pattern recognition using thermal imaging. Unlike conventional methods tโ€ฆ

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Robust Fleet Sizing for Multi-UAV Inspection Missions under Synchronized Replacement Demand

Vishal Ramesh, Antony Thomas ยท 2026

Multi-UAV inspection missions require spare drones to replace active drones during recharging cycles. Existing fleet-sizing approaches often assume steady-state operating conditions that do not apply โ€ฆ

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Engineering Preprint PDF DOI

Dual-Radio BLE-LoRa Hierarchical Mesh for Infrastructure-Free Emergency Communication

Andrii Vakhnovskyi ยท 2026

We present a dual-radio hierarchical mesh architecture for infrastructure-free emergency communication that exploits the complementary strengths of Bluetooth Low Energy (BLE) and LoRa. Nodes equipped โ€ฆ

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Engineering Preprint PDF DOI

Momentum-constrained Hybrid Heuristic Trajectory Optimization Framework with Residual-enhanced DRL for Visually Impaired Scenarios

Yuting Zeng, Zhiwen Zheng, Jingya Wang, You Zhou, JiaLing Xiao, Yongbin Yu, Manping Fan, Bo Gong, Liyong Ren ยท 2026

Safe and efficient assistive planning for visually impaired scenarios remains challenging, since existing methods struggle with multi-objective optimization, generalization, and interpretability. In rโ€ฆ

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Engineering Preprint PDF DOI

Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources

Julian Jimenez Agudelo, Paola Soto, Ayat Zaki-Hindi, Jean-Sebastien Sottet, Sebastien Faye, Nina Slamnik-Krijestorac, Johann Marquez-Barja, Miguel Camelo Botero ยท 2026

Network Digital Twins (NDTs) enable safe what-if analysis for 6G cloud-edge infrastructures, but adoption is often limited by fragmented workflows from telemetry to validation. We present a data-driveโ€ฆ

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Topology Estimation for Open Multi-Agent Systems

Nana Wang, Pelin Sekercioglu, Dimos V. Dimarogonas ยท 2026

We address the problem of interaction topology identification in open multi-agent systems (OMAS) with dynamic node sets and fast switching interactions. In such systems, new agents join and interactioโ€ฆ

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Engineering Preprint PDF DOI

HierFedCEA: Hierarchical Federated Edge Learning for Privacy-Preserving Climate Control Optimization Across Heterogeneous Controlled Environment Agriculture Facilities

Andrii Vakhnovskyi ยท 2026

Cross-facility knowledge transfer in Controlled Environment Agriculture (CEA) can reduce HVAC energy consumption by 30-38% and accelerate new facility commissioning from months to days. However, facilโ€ฆ

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Engineering Preprint PDF DOI

The Elusive Nature of Roughness: Linking Hydraulics and Graph Theory for Water Distribution Networks Model Calibration

Karol Dykiert, Mateusz Stolarski, Micha{l} Czuba, Wojciech Ciezak, Piotr Brodka ยท 2026

Accurate pipe roughness estimation in large-scale water distribution networks is often hindered by the high cost of traditional field methods. This study investigates whether network partitioning, by โ€ฆ

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