⚡ Category

eess

1641 papers

⚡ electrical engineering

Trajectory tracking of bionic fish based on a complex-valued central pattern generation network

This paper presents a robust trajectory tracking system for a bionic fish robot that integrates a complex-valued central pattern generator network, driven by gyroscope feedback to control fins and tail, with a model predictive control-based position controller under an extended Featherstone dynamics model to effectively navigate straight and circular paths despite external disturbances.

Yong Zhang, Beibei Zhang, Yi Ding, Beiping Hou2026-08-19
⚡ electrical engineering

Normalized Cross-Gradient Screening and Consistency Assessment of ERT and GPR Data for Near-Surface Structural Mapping

This study introduces a reproducible, objective framework for assessing the structural consistency between ERT and GPR data using normalized cross-gradient screening and a pixel-wise Consistency Index, demonstrating its application on campus-scale datasets to overcome the subjectivity of traditional visual comparisons.

Erfan Syamsuddin, Andri Moh. Wahyu Laode, Andi Muhammad Pramatadie, Hasnan Sutadi, Wahyu Wahyu2026-08-19
⚡ electrical engineering

Geometry-aware interpretable learning for predicting print time and filament consumption in fused deposition modeling

This study presents a geometry-aware interpretable machine learning framework that accurately predicts fused deposition modeling print time and filament consumption by leveraging a dataset of 1,500 simulated instances, achieving high predictive fidelity (R2>0.94R^2 > 0.94) and revealing that mesh geometry and specific process settings are the primary determinants of these operational outcomes.

Hoa-Cuc. Nguyen, Viet-Hung. Pham, Bich-Ngoc. Mach, Ngoc-Duong. Nguyen, Tran-Thi Hong, Thanh Q. Nguyen, Ma-Thi-Anh Thu2026-08-19
⚡ electrical engineering

Cascading Congestion Collapse and Proactive Admission Control in Quantum Networks

This paper identifies a novel cascading congestion collapse mechanism in quantum networks driven by decoherence timeouts, formalizes its stability limits via a mean-field model, and introduces DALSAC, a proactive admission-control policy that significantly outperforms baselines in throughput, success rate, and recovery speed by shedding load before congestion propagates.

Md Hasibuzzaman2026-08-19
⚡ electrical engineering

Vis-NIR hyperspectral imaging for sorghum variety discrimination: a systematic evaluation of preprocessing, feature selection, and classification models

This study establishes Savitzky–Golay first derivative preprocessing combined with linear discriminant analysis as a robust benchmark for discriminating nine sorghum varieties using Vis-NIR hyperspectral imaging, demonstrating that well-regularized classical classifiers outperform deep learning on moderate-scale spectral datasets.

Zhen Dong, Wen Xu, Yu Sun, Liang Zhang, Xiaoming Sun, Haijuan Tian, Fujian Xu2026-08-19
⚡ electrical engineering

Accuracy–Cost Assessment of FE Strategies for Springback Prediction in 30-Stage Roll Forming of DP980 Seat Rails

This study evaluates various finite element modeling strategies for predicting springback in the 30-stage roll forming of DP980 seat rails, concluding that an implicit shell model incorporating the Yoshida–Uemori hardening law and chord-modulus degradation offers the most practical balance between accuracy and computational cost for industrial applications.

Gunwoo Jung, Yong Hou, Seon-Ho Jung, Hyunsung Choi, Jongsup Lee, Namsu Park2026-08-19
⚡ electrical engineering

The HANDi Hand V2: Enhancing a Multi-articulating Prosthetic Hand for Continual Machine Learning Research

This paper presents the redesigned HANDi Hand V2, an open-source, sensorized prosthetic platform that bridges the performance gap with commercial devices and demonstrates how machine-learned adaptive switching can reduce user control effort while enabling diverse grasp selection.

Annette C. Lau, Stevie M. Desmarais, Simon M.-Y. Wong, Dylan J. A. Brenneis, Michael R. Dawson, Patrick M. Pilarski2026-08-19
⚡ electrical engineering

Research on Resistance Prediction Model for Coal Mining Face Supports Based on Machine Learning

This paper proposes an immuno-particle swarm hybrid algorithm optimized BP neural network (IA-PSO-BP) model to overcome the limitations of traditional prediction methods, achieving high-precision support resistance forecasting for shallow-buried coal seams in northern Shaanxi with a correlation coefficient of 0.966.

Yang Lei, Miao Yanping, Li Guowei, Zhang Kun, Xu Baojun, Hou Pengfei, Zhang Pengfei2026-08-19