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🔍 mario florido 📂 Engineering
Showing 73 results for "mario florido" in Engineering
Engineering Preprint PDF DOI

Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots

Yifei Yan, Linqi Ye · 2026

As reinforcement learning for humanoid robots evolves from single-task to multi-skill paradigms, efficiently expanding new skills while avoiding catastrophic forgetting has become a key challenge in e…

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Engineering Preprint PDF DOI

How IMU Drift Influences Multi-Radar Inertial Odometry for Ground Robots in Subterranean Terrains

Moumita Mukherjee, Magnus Noren, Anton Koval, Avijit Banerjee, George Nikolakopoulos · 2026

Reliable radar inertial odometry (RIO) requires mitigating IMU bias drift, a challenge that intensifies in subterranean environments due to extreme temperatures and gravity-induced accelerations. Cost…

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Engineering Preprint PDF DOI

MARVO: Marine-Adaptive Radiance-aware Visual Odometry

Sacchin Sundar, Atman Kikani, Aaliya Alam, Sumukh Shrote, A. Nayeemulla Khan, A. Shahina · 2025

Underwater visual localization remains challenging due to wavelength-dependent attenuation, poor texture, and non-Gaussian sensor noise. We introduce MARVO, a physics-aware, learning-integrated odomet…

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Engineering Preprint PDF DOI

Multilaminate piezoelectric PVDF actuators to enhance performance of soft micro robots

Nicholas Gunter, Heiko Kabutz, Kaushik Jayaram · 2025

Multilayer piezoelectric polyvinylidene fluoride (PVDF) actuators are a promising approach to enhance performance of soft microrobotic systems. In this work, we develop and characterize multilayer PVD…

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Engineering Preprint PDF DOI

Quantifying Power Systems Resilience Using Statistical Analysis and Bayesian Learning

Apsara Adhikari, Charlotte Wertz, Anamika Dubey, Arslan Ahmad, Ian Dobson · 2025

The increasing frequency and intensity of extreme weather events is significantly affecting the power grid, causing large-scale outages and impacting power system resilience. Yet limited work has been…

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Engineering Preprint PDF DOI

DARTS: A Drone-Based AI-Powered Real-Time Traffic Incident Detection System

Bai Li, Achilleas Kourtellis, Rong Cao, Joseph Post, Brian Porter, Yu Zhang · 2025

Rapid and reliable incident detection is critical for reducing crash-related fatalities, injuries, and congestion. However, conventional methods, such as closed-circuit television, dashcam footage, an…

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Engineering Preprint PDF DOI

Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses

Bolin Shen, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong · 2025

Florida is particularly vulnerable to hurricanes, which frequently cause substantial economic losses. While prior studies have explored specific contributors to hurricane-induced damage, few have deve…

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Engineering Preprint PDF DOI

Challenges and Research Directions from the Operational Use of a Machine Learning Damage Assessment System via Small Uncrewed Aerial Systems at Hurricanes Debby and Helene

Thomas Manzini, Priyankari Perali, Robin R. Murphy, David Merrick · 2025

This paper details four principal challenges encountered with machine learning (ML) damage assessment using small uncrewed aerial systems (sUAS) at Hurricanes Debby and Helene that prevented, degraded…

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Engineering Preprint PDF DOI

A Digital Twin Framework for Generation-IV Reactors with Reinforcement Learning-Enabled Health-Aware Supervisory Control

Jasmin Y. Lim, Dimitrios Pylorof, Humberto E. Garcia, Karthik Duraisamy · 2025

Generation IV (Gen-IV) nuclear power plants are envisioned to replace the current reactor fleet, bringing improvements in performance, safety, reliability, and sustainability. However, large cost inve…

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Engineering Preprint PDF DOI

A Method for Localization of Cellular Users from Call Detail Records

Steven W. Ellingson · 2025

A common problem in justice applications is localization of a user of a cellular network using a call detail record (CDR), which typically reveals only the base station and sector to which the user wa…

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Engineering Preprint PDF DOI

Towards Connected Smart Work Zones: Advancing Work Zone Management through Improved Connectivity

Mariam Nour, Mohamed H. Zaki, Mohamed Abdel-Aty · 2025

Work zones play a key role in road and highway maintenance but can lead to significant risks to both drivers and workers. Smart Work Zones (SWZs) have emerged as a potential solution, offering decisio…

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Engineering Preprint PDF DOI

Closed-loop model-predictive wind farm flow control under time-varying inflow using FLORIDyn

Marcus Becker, Maarten J. van den Broek, Dries Allaerts, Jan-Willem van Wingerden · 2025

Wind farm flow control has been a key research focus in recent years, driven by the idea that a collectively operating wind farm can outperform individually controlled turbines. Control strategies are…

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Engineering Preprint PDF DOI

Automatic detection and prediction of nAMD activity change in retinal OCT using Siamese networks and Wasserstein Distance for ordinality

Taha Emre, Teresa Araujo, Marzieh Oghbaie, Dmitrii Lachinov, Guilherme Aresta, Hrvoje Bogunovic · 2025

Neovascular age-related macular degeneration (nAMD) is a leading cause of vision loss among older adults, where disease activity detection and progression prediction are critical for nAMD management i…

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Engineering Preprint PDF DOI

OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles

Yuhang Wang, Abdulaziz Alhuraish, Shengming Yuan, Shuyi Wang, Hao Zhou · 2025

The Lane Keeping Assist (LKA) system has become a standard feature in recent car models. While marketed as providing auto-steering capabilities, the system's operational characteristics and safety per…

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Engineering Preprint PDF DOI

Multi-objective Combinatorial Methodology for Nuclear Reactor Site Assessment: A Case Study for the United States

Omer Erdem, Kevin Daley, Gabrielle Hoelzle, Majdi I. Radaideh · 2024

As clean energy demand grows to meet sustainability and net-zero goals, nuclear energy emerges as a reliable option. However, high capital costs remain a challenge for nuclear power plants (NPP), wher…

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Engineering Preprint PDF DOI

Distributionally Robust Chance-Constrained Energy Management of Multi-Building Residential Apartment Complexes Using Wasserstein Metric

Hamed Haggi, James M. Fenton · 2024

The decreasing costs of photovoltaic (PV) systems and battery storage, alongside the rapid rise of electric vehicles (EVs), present a unique opportunity to revolutionize energy use in apartment comple…

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Engineering Preprint PDF DOI

Techno-Economic Assessment of Net-Zero Energy Buildings: Financial Projections and Incentives for Achieving Energy Decarbonization Goals

Hamed Haggi, James M. Fenton · 2024

Recent advancements, net-zero emission policies, along with declining costs of renewable energy, battery storage, and electric vehicles (EVs), are accelerating the transition toward cleaner, more resi…

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Engineering Preprint PDF DOI

All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents

Zhiqiang Wang, Hao Zheng, Yunshuang Nie, Wenjun Xu, Qingwei Wang, Hua Ye, Zhe Li, Kaidong Zhang, Xuewen Cheng, Wanxi Dong, Chang Cai, Liang Lin, Feng Zheng, Xiaodan Liang · 2024

Embodied AI is transforming how AI systems interact with the physical world, yet existing datasets are inadequate for developing versatile, general-purpose agents. These limitations include a lack of …

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Engineering Preprint PDF DOI

Autonomous on-Demand Shuttles for First Mile-Last Mile Connectivity: Design, Optimization, and Impact Assessment

Sudipta Roy, Gabriel Dadashev, Lampros Yfantis, Bat-hen Nahmias-Biran, Samiul Hasan · 2024

The First-Mile Last-Mile (FMLM) connectivity is crucial for improving public transit accessibility and efficiency, particularly in sprawling suburban regions where traditional fixed-route transit syst…

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Engineering Preprint PDF DOI

LightViz: Autonomous Light-field Surveying and Mapping for Distributed Light Pollution Monitoring

Sheng-En Huang, Kazi Farha Farzana Suhi, Md Jahidul Islam · 2024

Existing technologies for distributed light-field mapping and light pollution monitoring (LPM) rely on either remote satellite imagery or manual light surveying with single-point sensors such as SQMs …

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