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๐Ÿ” peter morgan ๐Ÿ“‚ Engineering
Showing 1293 results for "peter morgan" in Engineering
Engineering Preprint PDF DOI

Robustness Evaluation of a Foundation Segmentation Model Under Simulated Domain Shifts in Abdominal CT: Implications for Health Digital Twin Deployment

Sanghati Basu ยท 2026

Foundation segmentation models such as the Segment Anything Model (SAM) have demonstrated strong generalization across natural images; however, their robustness under clinically realistic medical imagโ€ฆ

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Engineering Preprint PDF DOI

Integrated Lander-Propulsion-GNC Framework for Autonomous Lunar Powered Descent

Emre Aklan, Fatih Seker, Bekir Gencalioglu, Mehmet Batuhan Kaya, Yigit Serceoglu, Furkan Yavuz, Omer Burak Iskender, Burak Yaglioglu ยท 2026

This paper presents an integrated lander-propulsion-GNC framework for autonomous lunar powered descent. The BUG VTVL test vehicle serves as the reference platform, with the YUNT V0 throttleable bipropโ€ฆ

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Engineering Preprint PDF DOI

CT-Guided Spatially-varying Regularization for Voxel-Wise Deformable Whole-Body PET Registration

Xiangcen Wu, Ruohua Chen, Sichun Li, Qianye Yang, Sheng Liu, Jianjun Liu, Zhaoheng Xie ยท 2026

Whole-body Positron Emission Tomography (PET) registration is essential for multi-parametric tumor characterization and assessment of metastatic disease progression. In deep learning-based deformable โ€ฆ

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Engineering Preprint PDF DOI

Online Long-Term Voltage Stability Margin Estimation for IBR/DER Dominated Power System with Integrated VSM-Aware TSO-DSO Framework

Ahmed Alkhonain, Kiran Kumar Challa, Amarsagar Reddy Ramapuram Matavalam, Alok Kumar Bharati, Venkataramana Ajjarapu ยท 2026

The rapid growth of inverter-based resources (IBRs) and distributed energy resources (DERs) has fundamentally altered the long-term voltage stability characteristics of modern power systems. This artiโ€ฆ

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Engineering Preprint PDF DOI

A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems

Mohsen Jalaeian Farimani, Roya Khalili Amirabadi, Davoud Nikkhouy, Malihe Abdolbaghi, Mahshad Rastegarmoghaddam, Shima Samadzadeh ยท 2026

The integration of Model Predictive Control (MPC) and Reinforcement Learning (RL) has emerged as a promising paradigm for constrained decision-making and adaptive control. MPC offers structured optimiโ€ฆ

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Engineering Preprint PDF DOI

Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model

Ziyang Huang, Bingyan Li, Chen Ma, Tianyi Liu, Yihui Zhai, Hong Xu, Yi Guo, Zeju Li, Yuanyuan Wang ยท 2026

Clinicians lack a principled framework to quantify diagnostic utility in ultrasound reconstructions. Existing standards like PSNR and VGG-LPIPS are inadequate, failing to account for modality-specificโ€ฆ

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Engineering Preprint PDF DOI

A Two-Stage Deep Learning Framework for Segmentation of Ten Gastrointestinal Organs from Coronal MR Enterography

Ashiqur Rahman, Md. Abu Sayed, Md Sharjis Ibne Wadud, Md. Abu Asad Al-Hafiz, Adam Mushtak, Muhammad E. H. Chowdhury ยท 2026

Accurate segmentation of gastrointestinal (GI) organs in magnetic resonance enterography (MRE) is critical for diagnosing inflammatory bowel disease (IBD). However, anatomical variability, class imbalโ€ฆ

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Engineering Preprint PDF DOI

Web-Gewu: A Browser-Based Interactive Playground for Robot Reinforcement Learning

Kaixuan Chen, Linqi Ye ยท 2026

With the rapid development of embodied intelligence, robotics education faces a dual challenge: high computational barriers and cumbersome environment configuration. Existing centralized cloud simulatโ€ฆ

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Engineering Preprint PDF DOI

Comprehensive Review of Doppler Shift Localization Methods: Advances, Limitations, and Research Opportunities

Rafal Szczepanik ยท 2026

Reliable geolocation of non-cooperative emitters in environments where Global Navigation Satellite Systems (GNSS) are unavailable or degraded is a key enabler for spectrum regulation, emergency responโ€ฆ

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Engineering Preprint PDF DOI

Optimal Decentralized Dynamic Energy Management over Asynchronous Peer-to-Peer Transactive Networks via Operator Splitting

Xi Zhang, Huqiang Cheng, Guo Chen, Huaqing Li, Liang Ran, Jinhui Hu, Tingwen Huang ยท 2026

Peer-to-peer (P2P) energy management facilitates decentralized resource allocation among prosumers, improving local hosting capacity for renewables and minimizing energy expenditures while ensuring daโ€ฆ

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Engineering Preprint PDF DOI

Digital Twin for Real-Time Security Assessment and Flexibility Activation in the Bornholm Distribution System

Anosh Arshad Sundhu, Aysegul Kahraman, Spyros Chatzivasileiadis ยท 2026

The increasing penetration of distributed energy resources (DERs) is transforming distribution networks into actively managed systems, introducing challenges related to voltage regulation, thermal loaโ€ฆ

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Engineering Preprint PDF DOI

Quality-Aware Denoising of Ultra-Short TDoA Measurements for 5G-NR UAV Localization

Zexin Fang, Bin Han, Anjie Qiu, Zhuojun Tian, Hans D. Schotten ยท 2026

Reliable positioning is essential for Uncrewed Aerial Vehicles (UAVs) in safety-critical urban operations, yet achieving sub-meter accuracy under stringent latency constraints remains challenging. Whiโ€ฆ

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Engineering Preprint PDF DOI

AnyImageNav: Any-View Geometry for Precise Last-Meter Image-Goal Navigation

Yijie Deng, Shuaihang Yuan, Yi Fang ยท 2026

Image Goal Navigation (ImageNav) is evaluated by a coarse success criterion, the agent must stop within 1m of the target, which is sufficient for finding objects but falls short for downstream tasks sโ€ฆ

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Engineering Preprint PDF DOI

Temporal Derivative Soft-Sensing and Reconstructing Solar Radiation and Heat Flux from Common Environmental Sensors

Neksha DeSilva ยท 2026

Modern methods of environmental monitoring are deficient in the lack of ability to take measurements of energy flows since traditional readings involve capturing parameters such as temperature, pressuโ€ฆ

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Engineering Preprint PDF DOI

Sensitivity analysis for stopping criteria with application to organ transplantations

Xingyu Ren, Michael C. Fu, Steven I. Marcus ยท 2026

We consider a stopping problem and its application to the decision-making process regarding the optimal timing of organ transplantation for individual patients. At each decision period, the patient stโ€ฆ

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Engineering Preprint PDF DOI

Stochastic Control for Organ Donations: A Review

Xingyu Ren, Michael C. Fu, Steven I. Marcus ยท 2026

We review the literature on individual patient organ acceptance decision making by presenting a Markov Decision Process (MDP) model to formulate the organ acceptance decision process as a stochastic cโ€ฆ

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Engineering Preprint PDF DOI

Long-Reach Robotic Cleaning for Lunar Solar Arrays

Stanley Wang, Velin Kojouharov, Long Yin Chung, Daniel Morton, Mark Cutkosky ยท 2026

Commercial lunar activity is accelerating the need for reliable surface infrastructure and routine operations to keep it functioning. Maintenance tasks such as inspection, cleaning, dust mitigation, aโ€ฆ

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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 ยท 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 transitโ€ฆ

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Engineering Preprint PDF DOI

Covariance-Domain Near-Field Channel Estimation under Hybrid Compression: USW/Fresnel Model, Curvature Learning, and KL Covariance Fitting

R{i}fat Volkan Senyuva ยท 2026

Near-field propagation in extremely large aperture arrays requires joint angle-range estimation. In hybrid architectures, only $N_\mathrm{RF}\ll M$ compressed snapshots are available per slot, making โ€ฆ

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Engineering Preprint PDF DOI

DiffusionAnything: End-to-End In-context Diffusion Learning for Unified Navigation and Pre-Grasp Motion

Iana Zhura, Yara Mahmoud, Jeffrin Sam, Hung Khang Nguyen, Didar Seyidov, Miguel Altamirano Cabrera, Dzmitry Tsetserukou ยท 2026

Efficiently predicting motion plans directly from vision remains a fundamental challenge in robotics, where planning typically requires explicit goal specification and task-specific design. Recent visโ€ฆ

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