⚡ Category

eess

1646 papers

⚡ electrical engineering

Nonlinear 1D Time-Domain Electromagnetic Inversion using Adaptive Differential Evolution: Application to Volcanic-Hydrothermal System

This study introduces an improved adaptive differential evolution algorithm (iL-SHADE) that effectively solves the nonlinear, ill-posed 1D TDEM inversion problem by achieving superior accuracy and noise robustness in synthetic tests and successfully resolving deep subsurface structures in a volcanic-hydrothermal system at Unzen Volcano, Japan.

Cahyo Aji Hapsoro, Firman Qashdus Sabil, Mochamad Khoirul Rifai, Wahyu Srigutomo2026-08-13
⚡ electrical engineering

AIoT-Driven Closed-Loop Thermal Regulation for Photopolymerization: A CNN–TCN Edge-Computing Framework

This study presents a Nail Curing Intelligent Testing System (NCITS) that leverages a 1D CNN–TCN edge-computing framework to achieve real-time, closed-loop thermal regulation for photopolymerization, significantly reducing temperature overshoot and improving curing consistency compared to conventional PID control.

Kai-Chao Yao, Sumei Chiang, Po-Yu Kuo, Wei-Hao Ni2026-08-13
⚡ electrical engineering

Downstream particle counting quantifies exposure reduction by miniaturized electrostatic precipitation compared to fibrous filtration

This study demonstrates that miniaturized electrostatic precipitator masks, particularly Mask C, significantly reduce downstream particle exposure compared to conventional N95 respirators by quantifying absolute particle concentrations rather than relying solely on filtration efficiency metrics.

Chinmaya Mutalik, Rachel Redmann, Sarah Bose, Julian Henley, Bryan Tassin, Amy Phou, Chad J. Roy2026-08-13
⚡ electrical engineering

AI-assisted finite element modelling of the electron beam and TIG welding processes of low-cost titanium alloys

This study demonstrates that an AI-assisted workflow, utilizing large language model agents to replace conventional CALPHAD computations, successfully predicts the distinct phase compositions of electron beam and TIG welded low-cost Ti-2.8Al-5.1Mo-4.9Fe titanium alloys by coupling finite element thermal simulations with AI-generated continuous-cooling-transformation diagrams.

Roman Selin, Serhii Akhonin, Valeriy Bilous2026-08-13
⚡ electrical engineering

Trajectory-Tracking Control of Multi-DOF Manipulators Subject to Payload Variations using Deep Reinforcement Learning

This paper proposes a model-free deep reinforcement learning controller based on the Soft Actor-Critic algorithm with payload domain randomization to achieve high-precision trajectory tracking for 6-DOF manipulators under complex, time-varying payload conditions, demonstrating significant improvements in accuracy and torque smoothness over traditional PID control in simulation.

Xuan Quang Ngo, Huy Hung Nguyen, Tan Tien Nguyen, Van Tu Duong2026-08-13
⚡ electrical engineering

A coupled thermo-mechanical model for frost heave and mitigation design in cold-region pavements

This study presents a validated transient coupled thermo-mechanical finite-element model for predicting frost heave in cold-region pavements and demonstrates its effectiveness in evaluating mitigation strategies, revealing that insulation boards are the most efficient solution (reducing heave by ~99%), followed by lime stabilization (~73%) and subgrade drainage (~20–41%).

Shahrukh Ahmed, Vikas Pratap Singh2026-08-13
⚡ electrical engineering

Study of Machine Learning Techniques for Performance Prediction in Low-Power Hall Effect Thruster Operating on Monoatomic and Molecular Propellants

This study develops a robust, propellant-agnostic machine learning framework that combines data augmentation and physics-informed feature injection to accurately predict the performance of low-power Hall effect thrusters operating on diverse monoatomic and molecular propellants, achieving over 98% accuracy in thrust prediction using XGBoost.

Shantanusinh Parmar, Joseph A. Moskovitz, Dan Lev, Mitchell L. R. Walker2026-08-13
⚡ electrical engineering

Unraveling Spatial Heterogeneity in Traffic Safety: A Data-Driven Typology of US Counties Using Explainable Machine Learning

This study introduces a novel Manifold Spectral SHAP framework to overcome the limitations of traditional global linear models by uncovering five distinct, physically interpretable crash risk typologies across US counties, thereby demonstrating that traffic safety mechanisms are spatially heterogeneous and necessitating a shift from generalized governance to targeted, region-specific interventions.

Yuxuan Dong, Helai Huang, Ye Li, Yonghe Zhang, Jieling Jin2026-08-13
⚡ electrical engineering

Data-Driven Scanning Pattern Selection for Multi-Layer Deposition in Laser Directed Energy Deposition via Deep Regression Method with Simulation Integration

This study proposes a deep regression-based method integrating finite element simulations to optimize scanning patterns for Laser Directed Energy Deposition, demonstrating that the resulting Interval Pulsed Laser Deposition (IPLD) process significantly enhances cooling rates and refines microstructure compared to Continuous Laser Deposition, thereby improving the mechanical properties of multi-layer DD5/Inconel 718 thin-walled components.

Jun Zhou, Ke Zhang, Huaitao Shi, Liang Ma2026-08-13
⚡ electrical engineering

A Distributed Stereo Visual Feedback Framework for VR- based Telesurgical Robotic Teleoperation: Design and Latency Characterization

This paper presents and characterizes a distributed stereo visual feedback framework for VR-based telesurgical teleoperation, revealing that while network transmission delay is minimal, the majority of the total system latency (approximately 78 ms) stems from image processing and display rendering stages.

Haniyeh Altafi, Rayan Shakeel, Kourosh Zareinia2026-08-13