Expertini Research Research

Browse Research Papers

153+ open-access research outputs.

โœ• Clear
๐Ÿ” ed clark ๐Ÿ“‚ Engineering
Showing 153 results for "ed clark" in Engineering
Engineering Preprint PDF DOI

A Realistic Discrete Event Simulation model for Ambulance Location and Deployment within a regional Emergency Medical Service

Alberto De Santis, Stefania Iannazzo, Fabio Ingravalle, Stefano Lucidi, Massimo Maurici, Giulia Riccardi, Massimo Roma, Antonio Vinci ยท 2026

The objective of Emergency Medical Services (EMSs) is to promptly respond to calls from citizens for first aid, providing pre-hospital care and, if necessary, to transfer patients to an appropriate Emโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Model and Estimation of the Bitcoin Transaction Fee

Daniel Aronoff, Kristian Praizner, Armin Sabouri ยท 2026

Bitcoin transaction fees will become more important as the block subsidy declines, but fee formation is hard to study with blockchain data alone because the relevant queueing environment is unobservedโ€ฆ

Read Paper โ†’
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

Read Paper โ†’
Engineering Preprint PDF DOI

Truthful Production Uncertainty in Electricity Markets: A Two-Stage Mechanism

Shobhit Singhal, Lesia Mitridati, Licio Romao ยท 2026

Renewable power sources have low marginal pro-duction costs, but may result in high balancing costs due to the inherent production uncertainty. Current day-ahead markets elicit only point production pโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics

Simone Betteti, Luca Laurenti ยท 2026

Energy-based models (EBMs) implement inference as gradient descent on a learned Lyapunov function, yielding interpretable, structure-preserving alternatives to black-box neural ODEs and aligning naturโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Standard Condition Number-Based Detection for MIMO ISAC Systems under Noise Uncertainty

Alex Obando, Tharindu Udupitiya, Saman Atapattu, Kandeepan Sithamparanathan ยท 2026

This paper presents a unified analytical and optimization framework for Standard Condition Number (SCN)-based detection in MIMO Integrated Sensing and Communication (ISAC) systems operating under noisโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

ProFocus: Proactive Perception and Focused Reasoning in Vision-and-Language Navigation

Wei Xue, Mingcheng Li, Xuecheng Wu, Jingqun Tang, Dingkang Yang, Lihua Zhang ยท 2026

Vision-and-Language Navigation (VLN) requires agents to accurately perceive complex visual environments and reason over navigation instructions and histories. However, existing methods passively proceโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Dual-Phase Cross-Modal Contrastive Learning for CMR-Guided ECG Representations for Cardiovascular Disease Assessment

Laura Alvarez-Florez, Angel Bujalance-Gomez, Femke Raijmakers, Samuel Ruiperez-Campillo, Maarten Z. H. Kolk, Jesse Wiers, Julia Vogt, Erik J. Bekkers, Ivana Isgum, Fleur V. Y. Tjong ยท 2026

Cardiac magnetic resonance imaging (CMR) offers detailed evaluation of cardiac structure and function, but its limited accessibility restricts use to selected patient populations. In contrast, the eleโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography

Yingyu Yang, Qianye Yang, Can Peng, Elena D'Alberti, Olga Patey, Aris T. Papageorghiou, J.Alison Noble ยท 2026

Fetal echocardiography is essential for detecting congenital heart disease (CHD), facilitating pregnancy management, optimized delivery planning, and timely postnatal interventions. Among standard imaโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Super-r\'esolution non supervis\'ee d'images hyperspectrales de t\'el\'ed\'etection utilisant un entra\^inement enti\`erement synth\'etique

Xinxin Xu, Yann Gousseau, Christophe Kervazo, Said Ladjal ยท 2026

Hyperspectral single image super-resolution (SISR) aims to enhance spatial resolution while preserving the rich spectral information of hyperspectral images. Most existing methods rely on supervised lโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Coverage Performance Analysis of FAS-enhanced LoRa Wide Area Networks under both Co-SF and Inter-SF Interference

Gaoze Mu, Yanzhao Hou, Mingjie Chen, Yuanyu Hu, Yongan Zheng, Qimei Cui, Xiaofeng Tao ยท 2026

This paper presents an analytical framework for evaluating the coverage performance of the fluid antenna system (FAS)-enhanced LoRa wide-area networks (LoRaWANs). We investigate the effects of large-sโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion

Ralf Romer, Yi Zhang, Angela P. Schoellig ยท 2026

To teach robots complex manipulation tasks, it is now a common practice to fine-tune a pre-trained vision-language-action model (VLA) on task-specific data. However, since this recipe updates existingโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

From Metrics to Meaning: Insights from a Mixed-Methods Field Experiment on Retail Robot Deployment

Sichao Song, Yuki Okafuji, Takuya Iwamoto, Jun Baba, Hiroshi Ishiguro ยท 2026

We report a mixed-methods field experiment of a conversational service robot deployed under everyday staffing discretion in a live bedding store. Over 12 days we alternated three conditions--Baseline โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Novel Double-Chirp Preamble Design for Multiuser Asynchronous Massive MIMO LoRa Networks

The Khai Nguyen, Ebrahim Bedeer ยท 2025

This paper proposes a novel preamble design and detection method for multiuser asynchronous massive MIMO LoRa networks. Unlike existing works, which only consider the preamble detection for a single tโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Scheduling the Charge of Temporally Flexible Electric Vehicles: a Market-based Approach

Sabri El Amrani, Thibaut Horel, Saurabh Vaishampayan, Maryam Kamgarpour, Munther A. Dahleh ยท 2025

The increasing electrification of human activities and the rapid integration of variable renewable energy sources strain the power grid. A solution to address the need for more grid storage is to use โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

On Systematic Performance of 3-D Holographic MIMO: Clarke, Kronecker, and 3GPP Models

Quan Gao, Shuai S. A. Yuan, Zhanwen Wang, Wanchen Yang, Chongwen Huang, Xiaoming Chen, Wei E. I. Sha ยท 2025

Holographic multiple-input multiple-output (MIMO) has emerged as a key enabler for 6G networks, yet conventional planar implementations suffer from spatial correlation and mutual coupling at sub-wavelโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Towards Reliable Pediatric Brain Tumor Segmentation: Task-Specific nnU-Net Enhancements

Xiaolong Li, Zhi-Qin John Xu, Yan Ren, Tianming Qiu, Xiaowen Wang ยท 2025

Accurate segmentation of pediatric brain tumors in multi-parametric magnetic resonance imaging (mpMRI) is critical for diagnosis, treatment planning, and monitoring, yet faces unique challenges due toโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Predictive control barrier functions for piecewise affine systems with non-smooth constraints

Kanghui He, Anil Alan, Shengling Shi, Ton van den Boom, Bart De Schutter ยท 2025

Obtaining control barrier functions (CBFs) with large safe sets for complex nonlinear systems and constraints is a challenging task. Predictive CBFs address this issue by using an online finite-horizoโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

The method of the approximate inverse for limited-angle CT

Bernadette Hahn, Gael Rigaud, Richard Schmahl ยท 2025

Limited-angle computerized tomography stands for one of the most difficult challenges in imaging. Although it opens the way to faster data acquisition in industry and less dangerous scans in medicine,โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Frequency-Aware Ensemble Learning for BraTS 2025 Pediatric Brain Tumor Segmentation

Yuxiao Yi, Qingyao Zhuang, Zhi-Qin John Xu, Xiaowen Wang, Yan Ren, Tianming Qiu ยท 2025

Pediatric brain tumor segmentation presents unique challenges due to the rarity and heterogeneity of these malignancies, yet remains critical for clinical diagnosis and treatment planning. We propose โ€ฆ

Read Paper โ†’
Page 1 of 8 Next โ†’