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๐Ÿ” tina woolf ๐Ÿ“‚ Engineering
Showing 308 results for "tina woolf" in Engineering
Engineering Preprint PDF DOI

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications

Muhy Eddin Za'ter, Bri-Mathias Hodge ยท 2026

Accurate forecasting of electric load and renewable generation is essential for reliable and cost effective power system operations. Recent advances in transformer based and foundation machine learninโ€ฆ

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Engineering Preprint PDF DOI

EDU-Net: Retinal Pathological Fluid Segmentation in OCT Images with Multiscale Feature Fusion and Boundary Optimization

Zijun Lei, Zikang Xu, Liang Zhang, Ge Song, Hanyu Guo, Dan Cao, Yujia Zhou, Qianjin Feng ยท 2026

Objective: Diabetic macular edema (DME) is the leading cause of severe visual impairment in patients with diabetes. Quantification of retinal fluid, particularly intraretinal fluid (IRF) and subretinaโ€ฆ

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Engineering Preprint PDF DOI

Early Exiting U-Net for Efficient Processing on UAVs: A Case Study in Environmental Monitoring

Luca Sartori Boni, Mohamed Moursi, Norbert Wehn, Bilal Hammoud ยท 2026

Oil spills represent a severe threat, making early-stage thickness estimation crucial for guiding remediation efforts. Unmanned Aerial Vehicles (UAVs) are an attractive platform for environmental moniโ€ฆ

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Engineering Preprint PDF DOI

Multi-ORFT: Stable Online Reinforcement Fine-Tuning for Multi-Agent Diffusion Planning in Cooperative Driving

Haojie Bai, Aimin Li, Ruoyu Yao, Xiongwei Zhao, Tingting Zhang, Xing Zhang, Lin Gao, and Jun Ma ยท 2026

Closed-loop cooperative driving requires planners that generate realistic multimodal multi-agent trajectories while improving safety and traffic efficiency. Existing diffusion planners can model multiโ€ฆ

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Engineering Preprint PDF DOI

MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-Care Ultrasound Devices

Alvin Kimbowa, Arjun Parmar, Ibrahim Mujtaba, Will Wei, Maziar Badii, Matthew Harkey, David Liu, Ilker Hacihaliloglu ยท 2026

Objective: To develop a robust and compact deep learning model for automated knee cartilage segmentation on point-of-care ultrasound (POCUS) devices. Methods: We propose MonoUNet, an ultra-compact Uโ€ฆ

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Engineering Preprint PDF DOI

Area Optimization of Open-Source Low-Power INA in 130nm CMOS using Hybrid Mixed-Variable PSO

Avishka Herath, Chanula Luckshan, Lochana Katugaha, Udara Mendis, Kithmin Wickremasinghe ยท 2026

As open-source silicon initiatives democratize access to integrated circuit development using multi-project environments, silicon area has become a premium resource. However, minimizing this layout arโ€ฆ

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Engineering Preprint PDF DOI

AI-Programmable Wireless Connectivity: Challenges and Research Directions Toward Interactive and Immersive Industry

Haris Gacanin ยท 2026

This vision paper addresses the research challenges of integrating traditional signal processing with Artificial Intelligence (AI) to enable energy-efficient, programmable, and scalable wireless conneโ€ฆ

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Engineering Preprint PDF DOI

A Predictive Control Strategy to Offset-Point Tracking for Agricultural Mobile Robots

Stephane Ngnepiepaye Wembe, Vincent Rousseau, Johann Laconte, Roland Lenain ยท 2026

Robots are increasingly being deployed in agriculture to support sustainable practices and improve productivity. They offer strong potential to enable precise, efficient, and environmentally friendly โ€ฆ

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Engineering Preprint PDF DOI

Rethinking Feature Conditioning for Robust Forged Media Detection in Edge AI Sensing Systems

Izaldein Al-Zyoud, Abdulmotaleb El Saddik ยท 2026

Generalization under manipulation and dataset shift remains a core challenge in forged media detection for AI-driven edge sensing systems. Frozen vision foundation models with linear probes are strongโ€ฆ

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Engineering Preprint PDF DOI

Global Location-Invariant Peak Storm Surge Prediction

Benjamin Pachev, Prateek Arora, Jinpai Zhao, Eirik Valseth ยท 2026

Storm surge is a significant threat to coastal communities across the globe, responsible for loss of life and enormous property damage. Consequently, significant efforts have been expended to develop โ€ฆ

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Engineering Preprint PDF DOI

Saranga: MilliWatt Ultrasound for Navigation in Visually Degraded Environments on Palm-Sized Aerial Robots

Manoj Velmurugan, Phillip Brush, Colin Balfour, Richard J. Przybyla, Nitin J. Sanket ยท 2026

Tiny palm-sized aerial robots possess exceptional agility and cost-effectiveness in navigating confined and cluttered environments. However, their limited payload capacity directly constrains the sensโ€ฆ

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Engineering Preprint PDF DOI

A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scans

Aadit Nilay, Bhavesh Thapar, Anant Agrawal, Mohammad Nayeem Teli ยท 2026

The COVID-19 pandemic exposed critical limitations in diagnostic workflows: RT-PCR tests suffer from slow turnaround times and high false-negative rates, while CT-based screening offers faster complemโ€ฆ

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Engineering Preprint PDF DOI

Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Single-Label Chest X-rays

Ali M. Bahram, Saman Muhammad Omer, Hardi M. Mohammed ยท 2026

Chest X-ray imaging remains the primary diagnostic tool for pulmonary and cardiac disorders worldwide, yet its accuracy is hampered by radiologist shortages and inter-observer variability. This study โ€ฆ

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Engineering Preprint PDF DOI

Energy-Aware Multi-Exit TinyML for Smart Zero-Energy Devices

Shahab Jahanbazi, Mateen Ashraf, Lieven De Strycker, Jeroen Famaey, Onel L. A. Lopez ยท 2026

The proliferation of smart and autonomous systems has motivated a shift toward executing intelligence directly on edge devices. This shift becomes particularly challenging for zero-energy devices (ZEDโ€ฆ

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Engineering Preprint PDF DOI

Tiny-DroNeRF: Tiny Neural Radiance Fields aboard Federated Learning-enabled Nano-drones

Ilenia Carboni, Elia Cereda, Lorenzo Lamberti, Daniele Malpetti, Francesco Conti, Daniele Palossi ยท 2026

Sub-30g nano-sized aerial robots can leverage their agility and form factor to autonomously explore cluttered and narrow environments, like in industrial inspection and search and rescue missions. Howโ€ฆ

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Engineering Preprint PDF DOI

Whisper-RIR-Mega: A Paired Clean-Reverberant Speech Benchmark for ASR Robustness to Room Acoustics

Mandip Goswami ยท 2026

We introduce Whisper-RIR-Mega, a benchmark dataset of paired clean and reverberant speech for evaluating automatic speech recognition (ASR) robustness to room acoustics. Each sample pairs a clean Librโ€ฆ

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Engineering Preprint PDF DOI

PocketDP3: Efficient Pocket-Scale 3D Visuomotor Policy

Jinhao Zhang, Zhexuan Zhou, Huizhe Li, Yichen Lai, Wenlong Xia, Haoming Song, Youmin Gong, Jie Mei ยท 2026

Recently, 3D vision-based diffusion policies have shown strong capability in learning complex robotic manipulation skills. However, a common architectural mismatch exists in these models: a tiny yet eโ€ฆ

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Engineering Preprint PDF DOI

AsterNav: Autonomous Aerial Robot Navigation In Darkness Using Passive Computation

Deepak Singh, Shreyas Khobragade, Nitin J. Sanket ยท 2026

Autonomous aerial navigation in absolute darkness is crucial for post-disaster search and rescue operations, which often occur from disaster-zone power outages. Yet, due to resource constraints, tiny โ€ฆ

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Engineering Preprint PDF DOI

NanoCockpit: Performance-optimized Application Framework for AI-based Autonomous Nanorobotics

Elia Cereda, Alessandro Giusti, Daniele Palossi ยท 2026

Autonomous nano-drones, powered by vision-based tiny machine learning (TinyML) models, are a novel technology gaining momentum thanks to their broad applicability and pushing scientific advancement onโ€ฆ

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Engineering Preprint PDF DOI

A Graph-Augmented knowledge Distillation based Dual-Stream Vision Transformer with Region-Aware Attention for Gastrointestinal Disease Classification with Explainable AI

Md Assaduzzaman, Nushrat Jahan Oyshi, Eram Mahamud ยท 2025

The accurate classification of gastrointestinal diseases from endoscopic and histopathological imagery remains a significant challenge in medical diagnostics, mainly due to the vast data volume and suโ€ฆ

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