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🔍 joseph neeman 📂 Engineering
Showing 227 results for "joseph neeman" in Engineering
Engineering Preprint PDF DOI

Minimax Optimal Procedures for Joint Detection and Estimation

Dominik Reinhard, Michael Fau{ss}, Abdelhak M. Zoubir · 2026

We investigate the problem of jointly testing a pair of composite hypotheses and, depending on the test result, estimating a random parameter under distributional uncertainties. Specifically, it is as…

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Engineering Preprint PDF DOI

Designing Active Operation in Low-Voltage Distribution Grids: Requirements, Interfaces and Roadmap

Eric Tonges, Andrea Schoen, Frank Marten, Marco Pau, Denis Mende · 2026

This paper outlines a pathway towards active operation of lowvoltage distribution grids. In these grids, the growing deployment of distributed generation, controllable demand and storage, together wit…

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Engineering Preprint PDF DOI

Integrated Sensing and Communications for Low-Altitude Economy with Deterministic Sensing and Gaussian Information Signals

Xianxin Song, Xianghao Yu, Jie Xu, Derrick Wing Kwan Ng · 2026

Reliable surveillance and communication for unmanned aerial vehicles (UAVs) are crucial for enabling and sustaining the accelerated growth of the low-altitude economy. Integrated sensing and communica…

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Engineering Preprint PDF DOI

Adaptive Learned State Estimation based on KalmanNet

Arian Mehrfard, Bharanidhar Duraisamy, Stefan Haag, Florian Geiss, Mirko Mahlisch · 2026

Hybrid state estimators that combine model-based Kalman filtering with learned components have shown promise on simulated data, yet their performance on real-world automotive data remains insufficient…

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Engineering Preprint PDF DOI

A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models

Aricia Rinkens, Rodrigo L. S. Silva, Erik Quaeghebeur, Nick Jaensson, Clemens Verhoosel · 2026

Employing Bayesian inference to calibrate constitutive model parameters has grown substantially in recent years. Among the available techniques, Markov Chain Monte Carlo (MCMC) sampling remains one of…

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Engineering Preprint PDF DOI

From Energy Transition Pathways to Measurement Requirements: A Scenario-Based Study of Low-Voltage Grids

Nane Zimmermann, Lukas P. Wagner, Luca von Ronn, Florian Strobel, Paul Huttmann, Felix Gehlhoff · 2026

Increasing penetration of electric vehicles, heat pumps, and rooftop photovoltaics is creating thermal and voltage stress in low-voltage distribution grids. This work links three German energy transit…

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Engineering Preprint PDF DOI

A Computational Framework for Cross-Domain Mission Design and Onboard Cognitive Decision Support

J. de Curto, Adrianne Schneider, Ricardo Yanez, Maria Begara, Alvaro Rodriguez, Javier Lopez, Martina Fraga, Ignacio Gomez, Arman Akdag, Sumit Kulkarni, Siddhant Nair, Kiyan Govender, Eian Wratchford, Eli Lynskey, Seamus Dunlap, Cooper Nervick, Nicolas Tete, Rocio Fernandez, Pablo Gonzalez, Elena Municio, I. de Zarza · 2026

The design of distributed autonomous systems for operation beyond reliable ground contact presents a fundamental tension: as round-trip communication latency grows, the set of decisions delegable to g…

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Engineering Preprint PDF DOI

Defending the power grid by segmenting the EV charging cyber infrastructure

Kirill Kuroptev, Florian Steinke, Efthymios Karangelos · 2026

This paper examines defending the power grid against load-altering attacks using electric vehicle charging. It proposes to preventively segment the cyber infrastructure that charging station operators…

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Engineering Preprint PDF DOI

Identification and Visualization of Correlation Structures in Large-Scale Power Quality Data

Max Domagk, Jan Meyer, Marco Lindner · 2026

Large-scale power quality (PQ) measurement campaigns generate vast amounts of multivariate data, in which systematic dependencies are difficult to identify using conventional analysis techniques. This…

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Engineering Preprint PDF DOI

BabAR: from phoneme recognition to developmental measures of young children's speech production

Marvin Lavechin, Elika Bergelson, Roger Levy · 2026

Studying early speech development at scale requires automatic tools, yet automatic phoneme recognition, especially for young children, remains largely unsolved. Building on decades of data collection,…

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Engineering Preprint PDF DOI

The PARLO Dementia Corpus: A German Multi-Center Resource for Alzheimer's Disease

Franziska Braun, Christopher Witzl, Florian Honig, Elmar Noth, Tobias Bocklet, Korbinian Riedhammer · 2026

Early and accessible detection of Alzheimer's disease (AD) remains a major challenge, as current diagnostic methods often rely on costly and invasive biomarkers. Speech and language analysis has emerg…

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Engineering Preprint PDF DOI

MagneX: A High-Performance, GPU-Enabled, Data-Driven Micromagnetics Solver for Spintronics

Andy Nonaka, Yingheng Tang, Julian C. LePelch, Prabhat Kumar, Weiqun Zhang, Jorge A. Munoz, Christian Fernandez-Soria, Cesar Diaz, David J. Gardner, Zhi Jackie Yao · 2026

In order to comprehensively investigate the multiphysics coupling in spintronic devices, it is essential to parallelize and utilize GPU-acceleration to address the spatial and temporal disparities inh…

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Engineering Preprint PDF DOI

Unsupervised Semi-Parametric Plug-in Likelihood-Ratio Detection for Covert Communications in the Presence of Disco Reconfigurable Intelligent Surfaces

Luyao Sun, Huan Huang, Yongxing Song, Zhongxing Tian, Hongliang Zhang, Weidong Mei, Dongdong Zou, Yi Cai · 2026

Covert communications, also referred to as low probability of detection (LPD) communications, provide a higher level of privacy protection than cryptography and physical-layer security (PLS) by hiding…

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Engineering Preprint PDF DOI

Real-world energy data of 200 feeders from low-voltage grids with metadata in Germany over two years

Manuel Treutlein, Pascal Bothe, Marc Schmidt, Roman Hahn, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer · 2026

The last mile of the distribution grid is crucial for a successful energy transition, as more low-carbon technology like photovoltaic systems, heat pumps, and electric vehicle chargers connect to the …

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Engineering Preprint PDF DOI

Timbre-Aware LLM-based Direct Speech-to-Speech Translation Extendable to Multiple Language Pairs

Lalaram Arya, Mrinmoy Bhattacharjee, Adarsh C. R., S. R. Mahadeva Prasanna · 2026

Direct Speech-to-Speech Translation (S2ST) has gained increasing attention for its ability to translate speech from one language to another, while reducing error propagation and latency inherent in tr…

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Engineering Preprint PDF DOI

Improving Code-Switching Speech Recognition with TTS Data Augmentation

Yue Heng Yeo, Yuchen Hu, Shreyas Gopal, Yizhou Peng, Hexin Liu, Eng Siong Chng · 2026

Automatic speech recognition (ASR) for conversational code-switching speech remains challenging due to the scarcity of realistic, high-quality labeled speech data. This paper explores multilingual tex…

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Engineering Preprint PDF DOI

Phoneme-based speech recognition driven by large language models and sampling marginalization

Te Ma, Nanjie Li, Hao Huang, Zhijian Ou · 2025

Recently, the Large Language Model-based Phoneme-to-Grapheme (LLM-P2G) method has shown excellent performance in speech recognition tasks and has become a feasible direction to replace the traditional…

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Engineering Preprint PDF DOI

On the Ability of Deep Learning to Detect Signals with Unknown Parameters

Tom Anders, Hiten Prakash Kothari, R. Michael Buehrer · 2025

In many signal processing applications, including communications, sonar, radar, and localization, a fundamental problem is the detection of a signal of interest in background noise, known as signal de…

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Engineering Preprint PDF DOI

Direct transfer of optimized controllers to similar systems using dimensionless MPC

Josip Kir Hromatko, Shambhuraj Sawant, Sandor Iles, Sebastien Gros · 2025

Scaled model experiments are commonly used in various engineering fields to reduce experimentation costs and overcome constraints associated with full-scale systems. The relevance of such experiments …

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Engineering Preprint PDF DOI

Towards Language-Independent Face-Voice Association with Multimodal Foundation Models

Aref Farhadipour, Teodora Vukovic, Volker Dellwo · 2025

This paper describes the UZH-CL system submitted to the FAME2026 Challenge. The challenge focuses on cross-modal verification under unique multilingual conditions, specifically unseen and unheard lang…

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