⚡ Category

eess

607 papers

⚡ electrical engineering

Structural Performance and Seismic Damage Modeling of Aluminum Alloy Tube–Concrete Composite Columns

This study investigates the axial and seismic performance of aluminum alloy tube–concrete long columns through validated finite element analysis and cyclic loading simulations, revealing distinct failure mechanisms for different cross-sections and proposing a machine-learning-enhanced damage model that outperforms the conventional Park–Ang approach for accurate seismic assessment.

Suizi Jia, Wei Ding, Shilin Wei, Qitong Ren, Xiwei Xu2026-07-06
⚡ electrical engineering

Fast Prediction of Aero-Thermal Performance During Hypersonic Vehicle Design

HipeX is a fast, lightweight aerothermodynamic analysis tool that utilizes local surface inclination methods and blended boundary-layer models to reliably predict aerodynamic coefficients and surface heat fluxes for hypersonic vehicle design, as validated against CFD data for the HEXAFLY-INT configuration.

Vinícius Hagemeyer Chiumento, Pedro Paulo Batista de Araújo, Fábio Henrique Eugênio Ribeiro, Angelo Passaro, Lucas Galem (…)2026-07-06
⚡ electrical engineering

Groundwater Forecasting Under Missing Data Uncertainty: A Multi-Horizon Assessment Using Hyperbolic Deep Learning

This study proposes an integrated multi-horizon groundwater forecasting framework that combines optimal missing-data reconstruction with hyperbolic deep learning to effectively address observational gaps and reduce error accumulation in long-term predictions, demonstrating superior stability and accuracy compared to conventional deep learning architectures.

Kübra Küllahcı, Kürşat Şekerci2026-07-04
⚡ electrical engineering

Optimization and Construction of the Thickness and Strength of the Sealing Wall in the Connecting Roadway

This study utilizes FLAC3D numerical simulations to determine that a 1.0m thick, C25-strength sealing wall offers the optimal balance of displacement control and strain management for shallow-buried connecting roadways under intensive mining pressure, leading to the development and application of a rapid, vehicle-mounted flexible formwork construction technology.

Dong Zhang, Yang Dong, Xia Wang, Siyu Gong, Dehai Lin, Jinzhu Huang, Rui Wu2026-07-03
⚡ electrical engineering

Research on Optimization Method of Green Wave Coordinated Signal Considering Carbon Emission Reduction

This study proposes a green wave coordinated signal optimization method based on a localized VISSIM-MOVES simulation platform and a multi-parameter collaborative model to simultaneously minimize carbon emissions and improve arterial traffic efficiency, demonstrating significant reductions in vehicle delay, stops, and total emissions.

Han Bai, Xiaolong Shi, Liang Zhao, Tianzheng Wei, Jian Lu, Xiuguang Wang2026-07-03
⚡ 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