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๐Ÿ” daniel r. kramer ๐Ÿ“‚ Engineering
Showing 4205 results for "daniel r. kramer" in Engineering
Engineering Preprint PDF DOI

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA

Feeza Khan Khanzada, Jaerock Kwon ยท 2026

Learned driving agents often degrade when deployed in unseen environments. This paper studies a deliberately bounded instance of that problem in the CARLA simulator: zero-shot transfer of a closed-looโ€ฆ

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Engineering Preprint PDF DOI

SASI: Leveraging Sub-Action Semantics for Robust Early Action Recognition in Human-Robot Interaction

Yongpeng Cao, Masahiro Hirano, Hyuno Kim, Yuji Yamakawa ยท 2026

Understanding human actions is critical for advancing behavior analysis in human-robot interaction. Particularly in tasks that demand quick and proactive feedback, robots must recognize human actions โ€ฆ

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Engineering Preprint PDF DOI

A Knowledge-Driven Approach to Target Speech Extraction in the Presence of Background Sound Effects for Cinematic Audio Source Separation (CASS)

Chun-wei Ho, Sabato Marco Siniscalchi, Kai Li, Chin-Hui Lee ยท 2026

We propose a knowledge-driven approach to speech target extraction in the presence of background sound effects already recorded in cinematic audio. The specific knowledge sources studied are manners oโ€ฆ

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Engineering Preprint PDF DOI

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation

Yang Zhou, Chaoyong Zhang, Ruoyi Hao, Huilin Pan, Yang Zhang, Hongliang Ren ยท 2026

Nasotracheal intubation (NTI) is a critical clinical procedure for establishing and maintaining patient airway patency. Machine-assisted NTI has emerged as a pivotal approach for optimizing proceduralโ€ฆ

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Engineering Preprint PDF DOI

Array Zooming Optimization for Near-Field Localization With Movable Antennas

Yuxin Duan, Boyu Teng, Xiaojun Yuan, Rui Wang ยท 2026

The emergence of movable antenna (MA) technology provides a promising way to enhance wireless sensing and communication by introducing spatial degrees of freedom through dynamic array reconfiguration.โ€ฆ

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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 ยท 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 mโ€ฆ

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Engineering Preprint PDF DOI

CRLB and Parameter Estimation for OFDM-ISAC with Non-Uniform Sparse Resource Allocation

Wenjie Zhang, Qianglong Dai, Xiaoli Xu, Ruoguang Li, Yong Zeng ยท 2026

Integrated sensing and communication (ISAC) holds great promise in expanding the applications of wireless communication networks. However, in current communication-centric systems, the time-frequency โ€ฆ

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Engineering Preprint PDF DOI

Optimizing Tracking Accuracy in Energy-Constrained Multimodal ISAC via Lyapunov-Driven Heterogeneous Mixture-of-Experts

Wenqi Fan, Ning Wei, Ahmad Bazzi, Rongyan Xi, Zhixian Song, You Li, Zhihan Zeng, Yue Xiu, Chadi Assi ยท 2026

The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous high-resolution visuaโ€ฆ

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Engineering Preprint PDF DOI

Blind OFDM-ISAC Relying on Asymmetric Modem Constellations

Henglin Pu, Ahmad Musallam, Husheng Li, Lajos Hanzo ยท 2026

Integrated sensing and communication (ISAC) is increasingly expected to operate under aggressive spectrum reuse, where co-channel orthogonal frequency division multiplexing (OFDM) interference can be โ€ฆ

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Engineering Preprint PDF DOI

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization

Bahar Oveisgharan, Gene Cheung, Andrew Eckford ยท 2026

We aim to learn a sparse and connected graph from sparse data, where the number of observations K can be substantially smaller than the signal dimension N for signals x in R^N, and the underlying distโ€ฆ

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Engineering Preprint PDF DOI

Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection

Jaskirat Sudan, Hashim Ali, Surya Subramani, Hafiz Malik ยท 2026

Supervised contrastive learning (SupCon) is widely used to shape representations, but has seen limited targeted study for audio deepfake detection. Existing work typically combines contrastive terms wโ€ฆ

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Engineering Preprint PDF DOI

GEGLU-Transformer for IMU-to-EMG Estimation with Few-Shot Adaptation

Miroljub Mihailovic, Luca Tonin, Stefano Tortora, Emanuele Menegatti ยท 2026

Reliable estimation of neuromuscular activation is a key enabler for adaptive and personalized control in wearable robotics. However, surface electromyography (EMG) remains difficult to deploy robustlโ€ฆ

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Engineering Preprint PDF DOI

Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing

Sakiko Mishima, Yoshiyuki Yajima, Noriyuki Tonami, Tomoyuki Hino, Shugo Aibe, Junichiro Saikawa, Koji Mizuguchi ยท 2026

This study proposes an anomaly-detection framework for monitoring exposure-length variations in submarine free-span cables using Distributed Acoustic Sensing (DAS), which is one of the distributed fibโ€ฆ

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Engineering Preprint PDF DOI

Reduced-Order Data Assimilation for Thermospheric Density Using Physics-informed SINDyc Models

Sriram Narayanan, Daniele Sicoli, Piyush Mehta ยท 2026

Accurate estimation of thermospheric mass density is a prerequisite for orbit prediction and space situational awareness, where the upper atmosphere responds nonlinearly to solar and geomagnetic forciโ€ฆ

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Engineering Preprint PDF DOI

AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation

Kai Yang, Zedong Chu, Yingnan Guo, Zhengbo Wang, Shichao Xie, Yanfen Shen, Xiaolong Wu, Xing Li, Mu Xu ยท 2026

While Vision-Language-Action (VLA) models have been demonstrated possessing strong zero-shot generalization for robot control, their massive parameter sizes typically necessitate cloud-based deploymenโ€ฆ

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Engineering Preprint PDF DOI

Performance Benchmarks for Line Spectral Estimation: Ordered Ziv-Zakai Characterization and Plug-In Amplitude Error Analysis

Fangqing Xiao, Dirk T. M. Slock ยท 2026

Line spectral estimation (LSE) involves estimating both spectral frequencies and their associated complex amplitudes. Existing Fisher-information-based benchmarks are local and therefore do not capturโ€ฆ

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Engineering Preprint PDF DOI

Predictive Directional Selective Fixed-Filter Active Noise Control for Moving Sources via a Convolutional Recurrent Neural Network

Boxiang Wang, Zhengding Luo, Dongyuan Shi, Junwei Ji, Xiruo Su, Woon-Seng Gan ยท 2026

Directional Selective Fixed-Filter Active Noise Control (D-SFANC) can effectively attenuate noise from different directions by selecting the suitable pre-trained control filter based on the Direction-โ€ฆ

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Engineering Preprint PDF DOI

Magnetic Indoor Localization through CNN Regression and Rotation Invariance

Helge Rose, Konstantin Klipp, Tom Koubek, Bernd Schaufele, Ilja Radusch ยท 2026

Indoor positioning is an essential technology for a wide range of applications in GNSS-denied environments, including indoor navigation and IoT systems. Combining convolutional neural networks (CNNs) โ€ฆ

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Engineering Preprint PDF DOI

Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training

Yaxuan Li, Zhongyi Zhou, Yefei Chen, Yanjiang Guo, Jiaming Liu, Shanghang Zhang, Jianyu Chen, Yichen Zhu ยท 2026

Post-training is essential for turning pretrained generalist robot policies into reliable task-specific controllers, but existing human-in-the-loop pipelines remain tied to physical execution: each coโ€ฆ

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Engineering Preprint PDF DOI

Sample entropy for graph signals: An approach to nonlinear analysis of graph signals

Mei-San Maggie Lei, John Stewart Fabila Carrasco, Javier Escudero ยท 2026

We introduce a graph-signal generalisation of Sample Entropy, denoted SampEn$_{G}$, to quantify irregularity of graph signals on a continuous state space, complementing existing methods on symbolic dyโ€ฆ

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