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๐Ÿ” e. sargsyan ๐Ÿ“‚ Engineering
Showing 1108 results for "e. sargsyan" in Engineering
Engineering Preprint PDF DOI

UNet-Based Fusion and Exponential Moving Average Adaptation for Noise-Robust Speaker Recognition

Chong-Xin Gan, Peter Bell, Man-Wai Mak, Zhe Li, Zezhong Jin, Zilong Huang, Kong Aik Lee ยท 2026

The joint training of speech enhancement and speaker embedding networks for speaker recognition is widely adopted under noisy acoustic environments. While effective, this paradigm often fails to leverโ€ฆ

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Engineering Preprint PDF DOI

CKM Beyond Channel Gain: Spatial Correlation Map Construction with Deep Learning

Z. Chen, S. Fu, Y. Zeng, X. Xu, Z. Wei ยท 2026

Channel knowledge map (CKM) is a promising technique to achieve environment-aware wireless communication and sensing. Constructing the complete CKM based on channel knowledge observations at sparse loโ€ฆ

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Engineering Preprint PDF DOI

Algebraic Diversity: Principles of a Group-Theoretic Approach to Signal Processing

Mitchell A. Thornton ยท 2026

We present principles of algebraic diversity (AD), a group-theoretic approach to signal processing exploiting signal symmetry to extract more information per observation, complementing classical methoโ€ฆ

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Engineering Preprint PDF DOI

Odour sensing in turbulent plumes with high-speed electronic nose and non-invasive ground truth

Nik Dennler, Elle Stark, Saimon Collaku, Lars Larson, Andre van Schaik, Michael Schmuker, John Crimaldi, Andreas T. Guntner, Aaron True ยท 2026

Chemical sensing in real-world environments requires resolving rapidly fluctuating and spatially heterogeneous concentration fields. However, these dynamics are strongly distorted by widely used, low-โ€ฆ

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Engineering Preprint PDF DOI

HALO: Hybrid Auto-encoded Locomotion with Learned Latent Dynamics, Poincar\'e Maps, and Regions of Attraction

Blake Werner, Sergio A. Esteban, Massimiliano De Sa, Max H. Cohen, Aaron D. Ames ยท 2026

Reduced-order models are powerful for analyzing and controlling high-dimensional dynamical systems. Yet constructing these models for complex hybrid systems such as legged robots remains challenging. โ€ฆ

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Engineering Preprint PDF DOI

Cram\'{e}r-Rao Bound Optimization for Near-Field ISAC with Extended Targets

Zongyao Zhao, Zhaolin Wang, Lincong Han, Liang Xu, Jing Jin, Yuanwei Liu, Kaibin Huang ยท 2026

Near-field integrated sensing and communication (ISAC) requires target models beyond the point-target abstraction when the target has a non-negligible spatial extent. In this letter, a geometry-aware โ€ฆ

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Engineering Preprint PDF DOI

Prosody as Supervision: Bridging the Non-Verbal--Verbal for Multilingual Speech Emotion Recognition

Girish, Mohd Mujtaba Akhtar, Muskaan Singh ยท 2026

In this work, we introduce a paralinguistic supervision paradigm for low-resource multilingual speech emotion recognition (LRM-SER) that leverages non-verbal vocalizations to exploit prosody-centric eโ€ฆ

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Engineering Preprint PDF DOI

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare

Mohd Mujtaba Akhtar, Girish, Muskaan Singh ยท 2026

In this study, we present Healthcare Codec-Fake Detection (HCFD), a new task for detecting codec-fakes under pathological speech conditions. We intentionally focus on codec based synthetic speech in tโ€ฆ

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Engineering Preprint PDF DOI

Active MIMO Sensing With Exploration-Exploitation Tradeoff

Nadim Ghaddar, Kareem M. Attiah, Wei Yu ยท 2026

This paper develops an active sensing framework for designing the transmit and receive beamformers of a multiple-input multiple-output (MIMO) radar system. In the proposed technique, the beamformers aโ€ฆ

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Engineering Preprint PDF DOI

Graph-Guided Adaptive Channel Elimination for KV Cache Compression

Enwei Tong, Yao Zhu, Yuanchao Bai, Kai Wang, Xianming Liu, Xiangyang Ji ยท 2026

Large Language Models have revolutionized natural language processing, achieving unprecedented success across a vast range of tasks. However, their practical application in long-context scenarios is sโ€ฆ

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Engineering Preprint PDF DOI

Dual-Modal Lung Cancer AI: Interpretable Radiology and Microscopy with Clinical Risk Integration

Baramee Sukumal, Aueaphum Aueawatthanaphisut ยท 2026

Lung cancer remains one of the leading causes of cancer-related mortality worldwide. Conventional computed tomography (CT) imaging, while essential for detection and staging, has limitations in distinโ€ฆ

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Engineering Preprint PDF DOI

Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions

Aggelos Psiris, Vasileios Argyriou, Evangelos K. Markakis, Panagiotis Sarigiannidis, Efstratios Gavves, Kostas Bekris, Arash Ajoudani adn Georgios Th. Papadopoulos ยท 2026

Over the recent years, the field of robotics has been undergoing a transformative paradigm shift from fixed, single-task, domain-specific solutions towards adaptive, multi-function, general-purpose agโ€ฆ

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Engineering Preprint PDF DOI

Rain Rate Estimation Bounds and Weather-Adaptive Pilot Allocation for LEO Satellite ISAC

Haofan Dong, Houtianfu Wang, Hanlin Cai, O. Tansel Baydas, Ozgur B. Akan ยท 2026

Rain attenuates Ku-band satellite signals by up to 20~dB, encoding precipitation information along the Earth-space slant path. This paper derives the Bayesian Cram\'{e}r-Rao bound (BCRB) for rain rateโ€ฆ

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CisLunarSense: Opportunistic ISAC for Debris Detection at the Lunar Gateway

Haofan Dong, Ozgur B. Akan ยท 2026

We propose CisLunarSense, an opportunistic integrated sensing and communication (ISAC) framework that exploits the Lunar Gateway's Ka-band relay for monostatic debris detection, addressing the absenceโ€ฆ

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Engineering Preprint PDF DOI

Distributed Optimization-Learning with Graph Transformers for Terahertz Cell-Free Integrated Sensing and Communication Systems

Guangchen Wang, Zhifeng Tang, Nan Yang, Xin Hao, Zhu Han ยท 2026

In this paper, we propose a distributed optimization-learning framework for terahertz (THz) cell-free integrated sensing and communication (CF-ISAC) systems, termed Distributed Optimization-Learning wโ€ฆ

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Engineering Preprint PDF DOI

Responsive Distribution of G-normal Random Variables

Ziting Pei, Shige Peng, Xingye Yue, Xiaotao Zheng ยท 2026

A $G$-normal random variable $X\sim \mathcal{N}(0,[\underline{\sigma}^2,\overline{\sigma}^2])$ does not admit a unique probability law due to volatility uncertainty. For a given test function $\phi$, โ€ฆ

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Engineering Preprint PDF DOI

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles

Yicheng Guo, Jiaqi Liu, Chengkai Xu, Peng Hang, Jian Sun ยท 2026

Autonomous vehicles in interactive traffic environments are often limited by the scarcity of safety-critical tail events in static datasets, which biases learned policies toward average-case behaviorsโ€ฆ

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Engineering Preprint PDF DOI

Uncovering Linguistic Fragility in Vision-Language-Action Models via Diversity-Aware Red Teaming

Baoshun Tong, Haoran He, Ling Pan, Yang Liu, Liang Lin ยท 2026

Vision-Language-Action (VLA) models have achieved remarkable success in robotic manipulation. However, their robustness to linguistic nuances remains a critical, under-explored safety concern, posing โ€ฆ

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Engineering Preprint PDF DOI

ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration

Rongfeng Zhao, Xuanhao Zhang, Zhaochen Guo, Xiang Shao, Zhongpan Zhu, Bin He, Jie Chen ยท 2026

The integration of large language models (LLMs) with embodied agents has improved high-level reasoning capabilities; however, a critical gap remains between semantic understanding and physical executiโ€ฆ

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Engineering Preprint PDF DOI

Duality Theory for Non-Markovian Linear Gaussian Models

Aditya Kudre, Heng-Sheng Chang, Prashant G. Mehta ยท 2026

This work develops a duality theory for partially observed linear Gaussian models in discrete time. The state process evolves according to a causal but non-Markovian (or higher-order Gauss-Markov) strโ€ฆ

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