Tactile perception of textile fabrics based on friction and brain activation by Wei Tang, Shousheng Zhang, Chuang Yu, Hua Zhu, Si Chen, Yuxing Peng

“…To quantify the tactile perceptions of textile fabrics, the mechanical properties of fabrics and the features extracted from the friction and vibration signals were correlated with the subjective sensation rated by questionnaires. …”
Get full text

Research on Bearing Fault Diagnosis Method for Varying Operating Conditions Based on Spatiotemporal Feature Fusion by Jin Wang, Yan Wang, Junhui Yu, Qingping Li, Hailin Wang, Xinzhi Zhou

“…Then, a parallel processing mechanism of the Convolutional Neural Network (SECNN) based on the Squeeze-and-Excitation module and the Bidirectional Long Short-Term Memory network (BiLSTM) is employed to dynamically adjust weights, capturing high-dimensional spatiotemporal features. The cross-attention mechanism enables the interaction and fusion of spatial and temporal features, significantly enhancing the complementarity and coupling of the feature representations. …”
Get full text

Brain connectivity for constructing new face representations in typical adults versus a prosopagnosic patient by Ela I. Olivares, Jorge F. Bosch-Bayard, Ana S. Urraca, Alba Jiménez-Bascuñán, Rolando J. Biscay, Jaime Iglesias

“…Connections for whole faces closing the E-I sequence resembled those for external features initiating the same sequence. Meanwhile, the predominant connections for whole faces completing the I-E sequence were more restricted to specific brain areas, with relevant prefrontal activity and a few connected nodes in right posterior regions, suggesting high attentional load plus initial and intermediate processing of face identity. …”
Get full text

Bionic Inner-Tapered Energy Absorption Tube Featuring Progressively Enhanced Fold Deformation Mode by Shuang Zhang, Zhengzhi Mu, Wenda Song, Zhiyan Zhang, Hexuan Yu, Binjie Zhang, Zhiwu Han, Luquan Ren

Get full text

Hydrosedimentary dynamics and morphological features of a rocky channel bend: Piquiri River, PR, Brazil by Altair Bennert, José Cândido Stevaux, Geovani da Silva Lima, Isabel Terezinha Leli, Ericson Hideki Hayakawa

Get full text

Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Akshit Samadhiya, Ahmad Taher Azar, Mohamed Tounsi, Naglaa F. Soliman, Walid El-Shafai

“…Abstract Unintended islanding presents substantial operational and safety risks in modern electrical distribution networks, particularly as distributed generation (DG) sources increasingly match or nearly match local load requirements. Conventional islanding detection schemes (IDS) often fail under balanced load-generation conditions, resulting in significant undetected events, commonly referred to as the non-detection zone (NDZ). …”
Get full text

A Multifunctional Wind Power Conversion System With Sensorless Operation and Power Quality Improvement Features by Abdoalateef Alzhrani, Pranay Krishna Sahay, Sreeram Naveen Chandra, Vedantham Lakshmi Srinivas

Get full text

Design of monoblock crossing for heavy operating conditions by P. V. Tregubchak

Get full text

Linear Model and Gradient Feature Elimination Algorithm Based on Seasonal Decomposition for Time Series Forecasting by Sheng-Tzong Cheng, Ya-Jin Lyu, Yi-Hong Lin

“…Furthermore, we propose a gradient-based feature importance method to improve interpretability and implement a gradient feature elimination algorithm to reduce noise and enhance model accuracy. …”
Get full text

Evaluation of Applying Urban Features Design Guides Concerning their Environmental Impact Inside Residential Complexes by Binaee Yaseen Raof*

“…The comparison shows that the aspect ratio for two selected residential projects is below the ideal urban features ratio, and at the same time, the density and spacing ratio for all the chosen residential cities is higher than the optimal urban features ratio of open spaces in hot arid climate zone and as a result, the total loads of energy increased.…”
Get full text

Honeybee Colony Growth Period Recognition Based on Multivariate Temperature Feature Extraction and Machine Learning by Chuanqi Lu, Lin Li, Denghua Li, Qiuying Huang, Wei Hong

“…Subsequently, principal component analysis (PCA) was employed to reduce the dimensionality of the original feature vectors, thereby decreasing computational load and enhancing feature sensitivity. …”
Get full text

Device-edge collaborative occluded face recognition method based on cross-domain feature fusion by Puning Zhang, Lei Tan, Zhigang Yang, Fengyi Huang, Lijun Sun, Haiying Peng

“…The lack of facial features caused by wearing masks degrades the performance of facial recognition systems. …”
Get full text

Advancing 3D Engineered In Vitro Models for Heart Failure Research: Key Features and Considerations by Elisa C. H. van Doorn, Jorik H. Amesz, Olivier C. Manintveld, Natasja M. S. de Groot, Jeroen Essers, Su Ryon Shin, Yannick J. H. J. Taverne

“…This review details these model features and their significance in heart failure research, with the aim of enhancing future platforms that will deepen our understanding of the disease and facilitate the development of novel, effective therapies.…”
Get full text

Features of reproduction of the shrub vole <i>Microtus majori</i> Thomas, 1906 in natural conditions by R. I. Dzuev, A. A. Cheprakova, F. H. Zhilyaeva, K. A. Mashukova

Get full text

A principal component analysis of regulatory environment features for sustainable building construction in South Africa by Chijioke Emere, Clinton Aigbavboa, Didibhuku Thwala

“…Two constructs of RGE features, namely Compulsory enforcement and assessment, and National green building policies and standards, were developed from the PCA with factor loadings of the constituent variables ranging from 0.649 - 0.918. …”
Get full text

Heart rate lowering treatment leads to a reduction in vulnerable plaque features in atherosclerotic rabbits. by Raf H M van Hoof, Evelien Hermeling, Judith C Sluimer, Julie Salzmann, Arnold P G Hoeks, Jérôme Roussel, Mat J A P Daemen, Harry Struijker-Boudier, Joachim E Wildberger, Sylvia Heeneman, M Eline Kooi

“…<h4>Objective</h4>To investigate the effect of a heart rate (HR) lowering agent (Ivabradine) on features of atherosclerotic plaque vulnerability with magnetic resonance imaging (MRI), ultrasound imaging, and histology.…”
Get full text

Towards Efficient SAR Ship Detection: Multi-Level Feature Fusion and Lightweight Network Design by Wei Xu, Zengyuan Guo, Pingping Huang, Weixian Tan, Zhiqi Gao

“…To further enhance the detection capability, Efficient Feature Learning (EFL) modules are embedded in the neck to improve feature representation. …”
Get full text

Early Detection of ITSC Faults in PMSMs Using Transformer Model and Transient Time-Frequency Features by Ádám Zsuga, Adrienn Dineva

“…Inter-turn short-circuit (ITSC) faults in permanent magnet synchronous machines (PMSMs) present a significant reliability challenge in electric vehicle (EV) drivetrains, particularly under non-stationary operating conditions characterized by inverter-driven transients, variable loads, and magnetic saturation. Existing diagnostic approaches, including motor current signature analysis (MCSA) and wavelet-based methods, are primarily designed for steady-state conditions and rely on manual feature selection, limiting their applicability in real-time embedded systems. …”
Get full text

Enhancing agricultural data interpretability and visualization with TabNet-driven feature extraction and Local Biplots by J. Triana-Martinez, A. Álvarez-Meza, G. Castellanos-Dominguez

“…The method provides an intuitive representation of non-stationary and non-linear data patterns, enhancing both global and cluster-level explainability. Also, we highlight feature loadings based on TabNet's attention scores and evaluate the framework on a synthetic benchmark and two real-world datasets: a forage grasses trial for breeder score prediction and the WMBD wheat dataset for LAI estimation. …”
Get full text

Image Coding for Object Recognition Tasks Based on Contour Feature Learning With Flexible Object Selection by Takahiro Shindo, Taiju Watanabe, Yui Tatsumi, Hiroshi Watanabe

Get full text