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🔍 machine learning 📂 Engineering
Showing 41527 results for "machine learning" in Engineering
Engineering Preprint PDF DOI

On the Unification of Optimal Current Reference Theory for Wound Rotor Synchronous Machines

Maxfield Parson-Scherban, Kasra Fallah, Navid Rahbariasr, Bernard Steyaert, James Anderson, Matthias Preindl · 2026

Controllers for motor drives typically require a current reference which will satisfy the requested torque subject to system constraints. This work generalizes existing current reference theory to the…

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Engineering Preprint PDF DOI

Deep Learning-Based Snow Depth Retrieval Using Sentinel-1 Repeat-Pass InSAR

Nayan Yadav, Shadi Oveisgharan, Shirin Jalali · 2026

Snow depth plays a central role in seasonal snowpack characterization and the terrestrial water cycle, yet remains challenging to estimate at high spatial resolution. Recent studies have shown that re…

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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 · 2026

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

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Engineering Preprint PDF DOI

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

Kaixuan Chen, Linqi Ye · 2026

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

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Engineering Preprint PDF DOI

A Hybrid STFT-Based Machine Learning Framework for Physically Interpretable Arc Stability Classification in Electric Arc Welding Systems

Tahir Cetin Akinci, Gokhan Gokmen, Alfredo A. Martinez-Morales · 2026

This study presents a physically informed hybrid time-frequency and machine learning (STFT-ML) framework for arc stability monitoring in electric arc welding systems. The primary current signal is mod…

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Engineering Preprint PDF DOI

Enabling Safety-Critical Wireless Communications via Safe Reinforcement Learning

Haoran Peng, Tong Wu, Hang Liu, Weijia Zheng, Ying-Jun Angela Zhang, Anna Scaglione · 2026

Ensuring strict safety guarantees is the paramount challenge for emerging 5G/6G wireless systems, particularly as they increasingly govern mission-critical applications ranging from autonomous UAV swa…

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Engineering Preprint PDF DOI

Learning a Non-linear Surrogate Model for Multistage Stochastic Transmission Planning

Victor Schmitt, Farzaneh Pourahmadi, Angela Flores-Quiroz, Pablo Apablaza, Pierluigi Mancarella · 2026

Transmission expansion planning (TEP) plays a critical role in ensuring power system reliability and facilitating the integration of renewable energy resources. However, this process requires planners…

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Engineering Preprint PDF DOI

Net Load Forecasting Using Machine Learning with Growing Renewable Power Capacity Features: A Comparative Study of Direct and Indirect Methods

Oluwafolajimi Samuel Bolusteve, Linhan Fang, Xingpeng Li · 2026

Renewable energy adoption has increased significantly over the past few years. However, with the increasing adoption of renewable energy, forecasting the net load has become a major challenge due to t…

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Engineering Preprint PDF DOI

Anonymization, Not Elimination: Utility-Preserved Speech Anonymization

Yunchong Xiao, Yuxiang Zhao, Ziyang Ma, Shuai Wang, Kai Yu, Jiachun Liao, Xie Chen · 2026

The growing reliance on large-scale speech data has made privacy protection a critical concern. However, existing anonymization approaches often degrade data utility, for example by disrupting acousti…

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Engineering Preprint PDF DOI

NaviFormer: A Deep Reinforcement Learning Transformer-like Model to Holistically Solve the Navigation Problem

Daniel Fuertes, Andrea Cavallaro, Carlos R. del-Blanco, Fernando Jaureguizar, Narciso Garcia · 2026

Path planning is usually solved by addressing either the (high-level) route planning problem (waypoint sequencing to achieve the final goal) or the (low-level) path planning problem (trajectory predic…

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Engineering Preprint PDF DOI

Multi-stage Planning for Multi-target Surveillance using Aircrafts Equipped with Synthetic Aperture Radars Aware of Target Visibility

Daniel Fuertes, Carlos R. del-Blanco, Fernando Jaureguizar, Juan Jose Navarro-Corcuera, Narciso Garcia · 2026

Generating trajectories for synthetic aperture radar (SAR)-equipped aircraft poses significant challenges due to terrain constraints, and the need for straight-flight segments to ensure high-quality i…

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Engineering Preprint PDF DOI

End-to-End ILC for Repetitive Untrackable Tasks: A Cooperative Game Perspective

Zhihe Zhuang, Rodrigo A. Gonzalez, Hongfeng Tao, Wojciech Paszke, Tom Oomen · 2026

An inherent assumption of perfect tracking in iterative learning control (ILC) is that there exists an ILC input such that the generated output can track the desired trajectory reference. This assumpt…

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Engineering Preprint PDF DOI

Chain Of Interaction Benchmark (COIN): When Reasoning meets Embodied Interaction

Xianhao Wang, Xiaojian Ma, Haozhe Hu, Rongpeng Su, Yutian Cheng, Zhou Ziheng, Hangxin Liu, Lei Liu, Bin Li, Qing Li · 2026

Generalist embodied agents must perform interactive, causally-dependent reasoning, continually interacting with the environment, acquiring information, and updating plans to solve long-horizon tasks b…

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Engineering Preprint PDF DOI

Refinement of Accelerated Demonstrations via Incremental Iterative Reference Learning Control for Fast Contact-Rich Imitation Learning

Koki Yamane, Cristian C. Beltran-Hernandez, Steven Oh, Masashi Hamaya, Sho Sakaino · 2026

Fast execution of contact-rich manipulation is critical for practical deployment, yet providing fast demonstrations for imitation learning (IL) remains challenging: humans cannot demonstrate at high s…

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Engineering Preprint PDF DOI

Watching Physics: the Generative Science of Matter and Motion

Hagen Holthusen, Kevin Linka, Ellen Kuhl · 2026

Can we learn the physics of matter in motion directly from images and video--and trust it? Answering this question requires integrating experiments, physics-based simulation, and data across tradition…

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Engineering Preprint PDF DOI

Online Reinforcement Learning for Safe Gain Scheduling in Nonlinear Quadrotor Control

Muhammad Junayed Hasan Zahed, Chieh Tsai, Salim Hariri, Hossein Rastgoftar · 2026

This paper presents an online reinforcement-learning framework for safe gain scheduling of a nonlinear quadcopter controller. Rather than learning thrust and torque commands directly, the proposed met…

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Engineering Preprint PDF DOI

Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking

Mengyuan Ma, Isuri Welgamage, Ahmed Alkhateeb, A. Lee Swindlehurst, Markku Juntti, Nhan Thanh Nguyen · 2026

Beam training and prediction in real-world millimeter-wave (mmWave) communications systems are challenging due to rapidly time-varying channels and strong interference from surrounding objects. In thi…

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Engineering Preprint PDF DOI

Synchronization-Safe Dynamic Microgrid Formation for DER-Led Distribution System Restoration With Constraint-Aware Graph Learning

Cong Bai, Salish Maharjan, Yunyi Li, Wenlong Shi, Zhaoyu Wang · 2026

Prolonged blackouts in distribution systems (DSs) with high penetration of distributed energy resources (DERs) necessitate novel restoration strategies to rapidly restore loads. However, the resulting…

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Engineering Preprint PDF DOI

Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning

Shathushan Sivashangaran, Vihaan Dutta, Apoorva Khairnar, Sepideh Gohari, Azim Eskandarian · 2026

Road traffic accidents are a leading cause of fatalities worldwide. In the US, human error causes 94% of crashes, resulting in excess of 7,000 pedestrian fatalities and $500 billion in costs annually.…

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Engineering Preprint PDF DOI

Rewind-IL: Online Failure Detection and State Respawning for Imitation Learning

Gehan Zheng, Sanjay Seenivasan, Matthew Johnson-Roberson, Weiming Zhi · 2026

Imitation learning has enabled robots to acquire complex visuomotor manipulation skills from demonstrations, but deployment failures remain a major obstacle, especially for long-horizon action-chunked…

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