⚡ Category

eess

1710 papers

⚡ electrical engineering

Enhancing the Spatial Resolution of Dose Measurements Using a Super-Resolution Geometry-Informed Neural Network

This paper presents a DICOM RT-Plan-guided super-resolution framework that leverages a UNet++ model augmented with geometric aperture moments to reconstruct high-resolution 1 mm³ dose distributions from coarse 1 cm³ phantom measurements, thereby enabling accurate radiotherapy verification without requiring denser hardware or computationally expensive simulations.

Kamila Kalecińska, Bartłomiej Rachwał, Jakub Hajduga, Jan Kapusta, Daria Kokot, Joanna Dudała, Tomasz Fiutowski, Damian (…)2026-07-03
⚡ electrical engineering

Transistors to transmons: large-scale cryogenic CMOS control of superconducting qubits

This paper demonstrates a scalable hybrid quantum control architecture that integrates cryogenic CMOS ASICs for two-qubit flux control with room-temperature electronics for single-qubit operations, achieving high-fidelity gate performance on a 156-qubit processor while significantly reducing system footprint and overcoming wiring constraints for large-scale superconducting quantum computing.

Devin Underwood2026-07-03
⚡ electrical engineering

(FEM-ML) Hybrid models to predict the lateral pile cap displacement under quasi-static load

This study proposes a novel hybrid framework combining Finite Element Modeling (FEM) and Artificial Intelligence, specifically utilizing a Particle Swarm Optimization-tuned Gradient Boosting Regressor and Evolutionary Polynomial Regression, to accurately predict the lateral displacement of single and grouped piles under quasi-static loads, thereby overcoming the limitations of traditional methods in capturing complex non-linear soil-structure interactions.

Yossef E. Teleb, Mahmoud S. Hammad, Ahmed M. Ebid, Abdel Salaam Ahmed Mokhtar, Mohamed Gamaleldeen Elsayem2026-07-03
⚡ electrical engineering

Analysis of Network Classification and Optimization Based on Comprehensive Evaluation of Public Transportation Network – A Case Study of Guangzhou

This paper proposes a novel "structure–function–equity" evaluation framework combining topological and functional indicators with machine learning to classify Guangzhou's bus routes, identifying significant inefficiencies and using a bi-objective optimization model to generate targeted strategies for reducing redundancy, enhancing metro integration, and improving rural equity.

caixia li, Cong Cong, Hunan Deng, Jiachao Chen, Junhui Li2026-07-03
⚡ electrical engineering

Mechanism-Based Screening of Seismic Instability in the Tarbela Reservoir Sediment Delta Using a Coupled QUAKE/W–SLOPE/W Analysis

This study employs a coupled QUAKE/W–SLOPE/W analysis to demonstrate that the Tarbela Reservoir's sediment delta is most vulnerable to localized seismic instability at the foreset toe and bottomset contact rather than generalized liquefaction, identifying a critical hazard pathway that supports targeted mitigation strategies like underwater dikes and dredging.

Saad Hanif, Abdullah Arshad, Muhammad Adnan Hanif, Qudeer Hussain2026-07-03
⚡ electrical engineering

LightAMCNet: An Under-70k-Parameter Lightweight Automatic Modulation Recognition Network for Edge Spectrum Intelligence

This paper introduces LightAMCNet, an ultra-lightweight one-dimensional convolutional neural network with only 68.9k parameters that achieves superior accuracy-efficiency trade-offs for real-time automatic modulation recognition on resource-constrained edge devices by utilizing a purely temporal convolutional backbone while avoiding complex architectural components.

Cheng Quan, Zhongsheng Guo, Weiyong Sun2026-07-03
⚡ electrical engineering

Residual Diffusion with Adaptive Data Consistency for Sparse-View CT Reconstruction

This paper proposes a residual diffusion framework for sparse-view CT reconstruction that enhances sampling efficiency and image quality by initializing the reverse process from structurally informative FBP estimates, incorporating high-frequency conditioning for structural guidance, and employing an adaptive data consistency mechanism to analytically optimize relaxation parameters.

Jia Wu, Pingting Lu, Jing Huang, Biao Qu, Zhangyong Li, Lisha Zhong2026-07-03
⚡ electrical engineering

Synergistic Regulation Mechanism of Oscillating Laser and Solution Treatment on Microstructure and Properties of Laser-Arc Hybrid Welded Joints of 2507 Super Duplex Stainless Steel

This study demonstrates that the synergistic application of oscillating laser welding and solution treatment effectively regulates the microstructure of 2507 super duplex stainless steel joints by refining grains and optimizing the ferrite-austenite balance, thereby significantly enhancing their tensile strength, ductility, low-temperature toughness, and corrosion resistance.

Jianxin Wang, Zhaorong Sun, Wang Zheng, Chuantai Yu, Ran Zong2026-07-03
⚡ electrical engineering

Forward and inverse prediction of micro-channel topographies in abrasive slurry jet machining: a machine learning framework and a graphical web-based tool

This paper presents a machine learning framework and a free web-based tool that successfully addresses both the forward prediction of micro-channel topographies and the inverse determination of optimal operating conditions in abrasive slurry jet machining, thereby overcoming longstanding challenges in process control and predictability for hard and brittle materials.

Majid Moghaddam, Fatemeh Safaei, Marcello Papini2026-07-03
⚡ electrical engineering

Thermographic Digital Twin for Proactive Fire-Risk Prediction in Legacy Residential Electrical Installations: A Systematic Review and Transferability Framework for Ageing Housing and Buildings in Peru

This paper presents a systematic review and proposes a four-layer thermographic digital twin architecture for predicting electrical fire risks in legacy UK residential installations, accompanied by a specific framework to adapt this technology to the regulatory and infrastructural conditions of Peru.

PAUL RICARDO PRUDENCIO GALVEZ2026-07-03