A Comprehensive Framework for Transportation Infrastructure Digitalization: TJYRoad-Net for Enhanced Point Cloud Segmentation by Zhen Yang, Mingxuan Wang, Shikun Xie

“…Two lightweight surface reconstruction techniques are implemented: (1) algorithmic reconstruction, which delivers a 6.3 mm elevation error at 95% confidence in complex intersections, and (2) template matching, which replaces road markings, poles, and vegetation using bounding boxes. …”
Get full text

Bolt loosening evaluation method based on normalized screw root equivalent stress and loosening life curve by Guangwu Yang, Han Zhao, Long Yang, Wenyang Shao, Shoune Xiao, Tao Zhu, Yuqing Yuan

“…To establish a loosening life evaluation method applicable to different types of bolts, numerous bolt clamping-force recession curves were obtained by bolt-loosening tests, and the relationship between the transverse displacement external load and loosening life (D–N curve) was established. …”
Get full text

A Multi-Task Spatiotemporal Graph Neural Network for Transient Stability and State Prediction in Power Systems by Shuaibo Wang, Xinyuan Xiang, Jie Zhang, Zhuohang Liang, Shufang Li, Peilin Zhong, Jie Zeng, Chenguang Wang

“…While AI has shown great potential, most existing AI-based approaches focus on single tasks, such as either stability assessments or state prediction, limiting their practical applicability. In power system operations, these two tasks are inherently coupled, as system states directly influence stability conditions. …”
Get full text

Accurate scoliosis vertebral landmark localization on X-ray images via shape-constrained multi-stage cascaded CNNs by Zhiwei Wang, Jinxin Lv, Yunqiao Yang, Yi Lin, Qiang Li, Xin Li, Xin Yang

“…Vertebral landmark localization is a crucial step in various spine-related clinical applications, which requires detecting the corner points of 17 vertebrae. …”
Get full text

Evapotranspiration Estimation with the Budyko Framework for Canadian Watersheds by Zehao Yan, Zhong Li, Brian Baetz

“…It demonstrates the applicability and potential of the Budyko framework for future case studies in Canada and other cold regions, providing a new, straightforward, and efficient alternative for <i>AET</i> estimation and hydrological modeling.…”
Get full text

Real-Time Vision-Based Wheel-Rail Interface Monitoring for Tramway Running Performance by Sangyup Lee, Jin Choi, Naekyung Kim, Janghun Hyeon

“…Field trials on straight and curved tracks at speeds from 10 to 50 km/h demonstrate submillimeter accuracy (mean error<inline-formula> <tex-math notation="LaTeX">$\approx $ </tex-math></inline-formula>0.46 mm) and consistent robustness. …”
Get full text

Development of a Portable Optomechatronic System to Obtain the Characterization of Transparent Materials and Dielectric Thin Films by Araceli Sánchez-Alvarez, Osvaldo Rodríguez-Quiroz, Gabriela Elizabeth Quintanilla-Villanueva, Melissa Marlene Rodríguez-Delgado, Juan Francisco Villarreal-Chiu, Oscar Javier Silva-Hernández, Donato Luna-Moreno

“…Its portability allows for use in diverse environments and applications.…”
Get full text

Estimation of the Number of Active Sweat Glands Through Discrete Sweat Sensing by Jelte R. Haakma, Elisabetta Peri, Simona Turco, Eduard Pelssers, Jaap M. J. den Toonder, Massimo Mischi

“…The results show that device layout significantly affects accuracy, with error rates below 0.2% for low and medium sweat rates (below 0.2 nL min⁻¹ per gland). …”
Get full text

Versatile graceful degradation framework for bio-inspired proprioception with redundant soft sensors by Taku Sugiyama, Kyo Kutsuzawa, Dai Owaki, Elijah Almanzor, Fumiya Iida, Mitsuhiro Hayashibe

“…Notably, the mean proprioception error increases by less than 1.91°(1.36%) when 30% of the sensors are degraded. …”
Get full text

Deep learning based localisation and classification of gamma photon interactions in thick nanocomposite and ceramic monolithic scintillators by Mushen Shen, Ragy Abraham, Elise Cribbin, Harrison Gregor, Mitra Safavi-Naeini, Daniel Franklin

“…Abstract Accurate localisation of the first point of interaction (FPoI) of incident gamma photons in monolithic scintillators is crucial for many radiation-based imaging applications - in particular, accurate estimation of the lines of response in positron emission tomography (PET). …”
Get full text

Development and validation of machine learning models for predicting post-cesarean pain and individualized pain management strategies: a multicenter study by Shenjuan Lv, Ning Sun, Chunhui Hao, Junqing Li, Yun Li

“…Trial registration Not applicable.…”
Get full text

Multi-objective optimization on thermo-structural performance of honeycomb absorbers for concentrated solar power systems by Masoud Behzad, Sébastien Poncet, Cristóbal Sarmiento-Laurel

“…Honeycomb volumetric solar receivers have emerged as promising candidates for concentrating solar power applications because of their thermal and mechanical properties, enabling the efficient heating of fluids. …”
Get full text

Development and psychometric evaluation of E-Learning Assessment Scale in Higher Education by Sevil Çiçek Özdemir, Ayten Şentürk Erenel, Şengül Yaman Sözbir, Sıdıka Pelit Aksu, Canan Uçakcı Asalıoğlu

“…CFA showed favourable results for Chi forecourt/ degrees of freedom (χ2/df), comparative fit indicator (CFI) and root mean square error of approximation (RMSEA). The Cronbach alpha of the scale was 0.96. …”
Get full text

Nearshore Depth Inversion Bathymetry from Coastal Webcam: A Novel Technique Based on Wave Celerity Estimation by Umberto Andriolo, Alberto Azevedo, Gil Gonçalves, Rui Taborda

“…The developed technique can be readily applied to images collected by coastal monitoring stations worldwide and is applicable to drone video acquisitions.…”
Get full text

Mixed Layer Depth Estimation From Multisource Remote Sensing Data Using Clustering-Machine Learning Method by Zengxin Guan, Kaijun Ren, Senliang Bao, Hengqian Yan, Huizan Wang, Yanlai Zhao, Jianbin Liu

“…The estimated MLD was compared with that of the in-situ data, showing consistency with observed trends and effectively capturing the spatiotemporal characteristics of MLD across seasons and geographic locations. The estimation error (RMSE) was less than 11.2 m. To assess practical applicability, comparative experiments using remote sensing data were performed, highlighting the model's feasibility and utility. …”
Get full text

Sensorless Design and Analysis of a Brushed DC Motor Speed Regulation System for Branches Sawing by Shangshang Cheng, Huijun Zeng, Zhen Li, Qingting Jin, Shilei Lv, Jingyuan Zeng, Zhou Yang

“…Compared to traditional Hall sensor systems, this sensorless design enhances adaptability in agricultural applications.…”
Get full text

AI-Driven Adaptive Communications for Energy-Efficient Underwater Acoustic Sensor Networks by A. Ur Rehman, Laura Galluccio, Giacomo Morabito

“…This paper proposes an artificial intelligence-driven framework aimed at enhancing energy efficiency and sustainability in applications of marine wildlife monitoring in underwater sensor networks, according to the vision of implementing an underwater acoustic sensor network. …”
Get full text

Single-Shot Wavefront Sensing in Focal Plane Imaging Using Transformer Networks by Hangning Kou, Jingliang Gu, Jiang You, Min Wan, Zixun Ye, Zhengjiao Xiang, Xian Yue

“…The proposed model achieves high accuracy, fast convergence, and simplicity in implementation, making it a promising solution for wavefront sensing applications.…”
Get full text

View-Aware Contrastive Learning for Incomplete Tabular Data with Low-Label Regimes by Yingqiu Yang, Qianye Lin, Zeyue Li, Yakui Wang, Siyu Liang, Siyuan Zhang, Yiyan Wang, Chunli Lv

“…The model achieves an accuracy of 0.87, F1-score of 0.83, and AUC of 0.90 while reducing the normalized mean squared error to 0.066. These results significantly outperform mainstream baseline models such as XGBoost, TabTransformer, and VIME, demonstrating the proposed method’s robustness and broad applicability across diverse real-world tasks. …”
Get full text

Ionospheric Correction Based on Ingestion of Global Ionospheric Maps into the NeQuick 2 Model by Xiao Yu, Chengli She, Weimin Zhen, Nava Bruno, Dun Liu, Xinan Yue, Ming Ou, Jisheng Xu

“…The results show good performance of the GIMs-driven-NeQuick model with average 86% of vertical TEC error less than 10 TECU, when the global daily effective ionization indices (Az) versus modified dip latitude (MODIP) are constructed as a second order polynomial. …”
Get full text