eess papers | Gist.Science

Experimental and Machine Learning-Based Performance Evaluation of Ambient-Cured Geopolymer Mortar Using Microstructural Characterisation and ABAQUS Numerical Analysis

This study comprehensively evaluates the performance of ambient-cured geopolymer mortars through experimental testing, microstructural characterization, machine learning-based strength prediction, and ABAQUS numerical analysis, demonstrating that a 100% ground granulated blast furnace slag mix with a sodium-based activator achieves superior mechanical properties and that geopolymer mortar jacketing significantly enhances the structural behavior of reinforced concrete beams.

Rushikesh Khartode, Subhash Patankar2026-08-06

⚡ electrical engineering

Comparing spectral-robust training objectives in physics-consistent dual-wavelength diffractive networks

This study finds that neither sample-wise worst-case nor average multi-shift training objectives provide a statistically reliable advantage for spectral robustness in dual-wavelength diffractive neural networks, as performance differences were negligible, inconsistent across protocols, and highly sensitive to device perturbations.

Zelin Lu¹2026-08-06

⚡ electrical engineering

Quantum-Inspired Evolutionary Optimization for CO2 Sensor Placement on the UCF Campus: Mathematical Formulation and Baseline Validation

This paper presents a quantum-inspired evolutionary optimization framework for placing 11 CO2 sensors on the UCF campus with strict spatial constraints, achieving a 72.73% coverage of high-traffic pedestrian corridors—double the current baseline—while establishing a scalable methodology for municipal sensor network deployment and calibration.

Eswara Sai Kumar Kandula, Phani Raja Bharath Balijepalli, Utkarsh Singh, Soheil Sabri, Azadeh Vosoughi, Haofei Yu, Roope (…)2026-08-06

⚡ electrical engineering

Dimensionality reduction of atmospheric concentration fields using a 3D convolutional autoencoder with spatial attention mechanism

This study proposes a 3D convolutional autoencoder with a spatial attention mechanism (SAM3D) that significantly outperforms various linear and non-linear dimensionality reduction methods in compressing high-dimensional atmospheric carbon monoxide fields from WRF-Chem simulations, thereby enabling more efficient storage and processing for inverse-modelling workflows.

Stepan Polyakov, Alexey Penenko2026-08-06

⚡ electrical engineering

A unified angular MTF evaluation framework for sparse-aperture optical system optimization

This paper proposes a unified angular MTF evaluation framework to systematically compare sparse-aperture configurations, demonstrating that an optimized three-armed Y-shaped structure outperforms traditional annular and Golay-6 arrays in both frequency-domain metrics and image reconstruction quality.

ZIKUN ZHAO, HONGXIA ZHANG, HAIBO YANG, DAGONG JIA, TIEGEN LIU2026-08-06

⚡ electrical engineering

Dual Scheme Adaptive Slope-Based Filtering of Photogrammetric Point Clouds for Digital Terrain Model Generation

This study proposes a dual-scheme adaptive slope-based filtering method that segments digital surface models into vegetation and building domains to improve ground point classification, achieving high vertical accuracy (RMSE of 0.148 m) in complex UAV photogrammetric surveys while identifying void extent in dense vegetation as the primary remaining limitation.

Muhammad Ulin Nuha, Musa Damar Hadi, Rizqi Aulia2026-08-06

⚡ electrical engineering

Kinematic Assessment Capability of Single- and Dual-IMU Configurations During Squats and Deadlifts

This study demonstrates that a single inertial measurement unit (IMU) placed on the upper back provides superior exercise-specific kinematic assessment for squats and deadlifts compared to a single thigh IMU or a dual-IMU configuration, as adding thigh data did not improve the system's ability to discriminate between the exercises.

Samson Nanxin Zhang2026-08-06

⚡ electrical engineering

Sensitivity Analysis of Shield Tunnel-Induced Ground Settlement to Stratigraphic Spatial Variability: From Random Field Simulation to Causal Decoupling

This paper presents an integrated framework combining random-field simulation, controlled numerical experiments, and symbolic regression to quantify how geological spatial variability in weathered granite affects shield tunnel-induced settlements, identifying the deformation modulus of the excavated and overburden strata as the dominant factors and deriving a physically interpretable predictive model.

Chenlong Yue, Jian Zhang, Tugen Feng, Haibo Wang, Bin Zheng2026-08-06

⚡ electrical engineering

Ambient-Atmosphere Ultrasonic Atomization of Low-Melting-Point Wood's Alloy Powders: Process Optimization, Atomization Mechanism, and Solderability

This study demonstrates that ambient-atmosphere ultrasonic atomization, optimized by controlling ultrasonic amplitude and heating temperatures, successfully produces high-quality, spherical Wood's alloy powders with minimal compositional deviation and excellent solderability for near-room-temperature electronic interconnections.

Dingying Ren, Haodi Li, Xiaofeng Yang, Hao Lan, Xiaoqiang Hu, Peng Yu, Qian Wang2026-08-06

⚡ electrical engineering

Preliminary Subsurface Characterization Using Pseudo-3D ERT and SPT

This study demonstrates that combining standard penetration testing (SPT) with pseudo-3D electrical resistivity tomography (ERT) provides a more reliable subsurface characterization method for difficult terrain, successfully identifying critical features like water-filled voids that SPT alone would have missed.

Gerry "Bo" Jr. B, Applegen Joyo2026-08-06

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