Analysis of peel and shear strains in cracked lap shear specimens subjected to fatigue loading using digital image correlation by Alessandra Panerai, Gianmarco Piccoli, Luca Michele Martulli, Andrea Bernasconi, Michele Carboni

“…In this work, Cracked Lap Shear specimens, which feature mixed I+II mode loading conditions, were tested under fatigue loading. …”
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FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION by REN Taizhu, FAN Jun, JIANG Xiaxin

“…Then, two methods of obtaining valve opening and closing points and load variation characteristics were proposed, and 54 new features of global faults of pumping units were extracted, and the characteristic database of working conditions of the pumping unit was established.Finally, the algorithm of decision tree, logistic regression and support vector machine was used to verify that the feature database has good classification effect under different working conditions. …”
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Magnetic Flux Density Feature Analysis and CT Saturation Region Recognition and Reconstruction Technology by Feng WANG, Jia ZHU, Shaolin JIAO, Yiquan LI, Hua XIE, Qingchun ZHAO

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LN-DETR: cross-scale feature fusion and re-weighting for lung nodule detection by Dibin Zhou, Honggang Xu, Wenhao Liu, Fuchang Liu

“…First, we designed a Deep and Shallow Detail Fusion layer that effectively fuses cross-scale features from both shallow and deep layers. Second, we optimized the computational load of the backbone network, effectively reducing the overall scale of the model. …”
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Citrus Disease Detection Based on Dilated Reparam Feature Enhancement and Shared Parameter Head by Xu Guo, Xingmeng Wang, Wenhao Zhu, Simon X. Yang, Lepeng Song, Ping Li, Qinzheng Li

“…It introduces the DR module structure for effective feature enhancement and the Detect_Shared architecture for parameter efficiency. …”
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Importance Evaluation of Power Grid Transmission Lines Based on Multidimensional Information Feature Mapping by Keji Chen, Yingqi Tie, Maohua Li

“…To address the limitations in existing transmission line evaluation methods, such as reliance on single evaluation metrics, insufficient consideration of information transmission between adjacent lines, and the impact of line failures on system load loss, this paper proposes a comprehensive evaluation method based on multidimensional information feature mapping. …”
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Story-“Record” vs Spontaneous Narrative in Light of a Comparative Analysis of Linguistic Feature by E. E. Burova, A. A. Racheva, U. E. Chekmez

“…It has been established that at different linguistic levels the story-“record” has certain distinctive features, the most important of which are the use of functionally loaded prosodic means and the almost complete absence of speech failures, the use of a large number of bookish lexical elements, as well as grammatical structures characteristic of the official business language, written speeches. …”
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A lightweight remote sensing image detection model with feature aggregation diffusion network by Xiaohui Cheng, Xukun Wang, Yun Deng, Qiu Lu, Yanping Kang, Jian Tang, Yuanyuan Shi, Junyu Zhao

“…A dilation-wise residual module further optimizes multi-scale feature extraction. Evaluated on benchmark datasets, LightFAD-YOLO achieves 1.7 % higher mAP0.5 and 6.4 % improved mAP0.5:0.95 over baseline models, with 9.9 % lower computational load. …”
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Feature selection for specific prediction targets at the user level in a district heating network by Samanta A. Weber, Michael Fischlschweiger, Dirk Volta, Jens Geisler

“…In comparison to studies targeting the heat load and suggesting outside air temperature as the most relevant predictor, it was found that for the herein proposed prediction targets, this feature is of secondary relevance (roughly 6–10%). …”
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EFINet: Efficient Feature Interaction Network for Real-Time RGB-D Semantic Segmentation by Zhe Yang, Baozhong Mu, Mingxun Wang, Xin Wang, Jie Xu, Baolu Yang, Cheng Yang, Hong Li, Rongqi Lv

“…Currently, although convolutional neural network (CNN) methods are less accurate than Transformer-based methods, they offer stronger real-time performance under the same computational load. Therefore, in this study, we proposed the Efficient Feature Interaction Network (EFINet), a real-time RGB-D segmentation method that uses a lightweight CNN encoder and incorporates encoder blocks with a lightweight upsampling method Dysample and the carefully optimized number of ConvNeXt V2 blocks, to redesign the decoder and minimize redundant computations. …”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…This mechanism minimizes computational load while amplifying significant spatial features within the input images. …”
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Investigation the dielectric strength and mechanical features of nitrile butadiene rubber enhanced by different nanoparticles by El-Sayed M. El-Refaie, L.S. Nasrat, M. Kh. Mohamed, I.A. Ibrahim

“…To investigate the dielectric strength and mechanical features of modified nitrile butadiene rubber (NBR), titanium dioxide (TiO2) and magnesium oxide (MgO) nanoparticles have been used. …”
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Optimized Design and Deep Vision-Based Operation Control of a Multi-Functional Robotic Gripper for an Automatic Loading System by Yaohui Wang, Sheng Guo, Jinliang Zhang, Hongbo Ding, Bo Zhang, Ao Cao, Xiaohu Sun, Guangxin Zhang, Shihe Tian, Yongxu Chen, Jixuan Ma, Guangrong Chen

“…A deep vision-based recognition system, enhanced by an improved YOLOv5 algorithm and multi-feature fusion, was employed for real-time object detection and pose estimation. …”
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Features of the functional state of the enteropancreatic hormonal system in pregnant women with gestational diabetes mellitus by F. O. Ushanova, T. Y. Demidova, T. N. Korotkova

“…Features of the functional state of the enteropancreatic hormonal system in pregnant women with gestational diabetes mellitus© Fatima O. …”
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The relationship between the indicators of spectral analysis of heart rate variability and sociopsychological adaptation to work load in people with disabilities by E. A. Nagovitsyna, N. N. Vasilyeva

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Experimental study of the deformed state of metal structures of load trolleys of overhead cranes with a multipurpose layout drawing by Denisov I.A.

“…The data on the vertical displacements of the control points of metal structures when using various loading schemes are given. An assessment was made of the influence of the type of applied connections of load-bearing elements on the features of the resulting deformed state of the metal structure. …”
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A Short-Term Electricity Load Complementary Forecasting Method Based on Bi-Level Decomposition and Complexity Analysis by Xun Dou, Yu He

“…However, the traditional single model has limitations in extracting the multi-frequency features of load data and processing components with varying complexity. …”
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Parameter Analysis of Pile Foundation Bearing Characteristics Based on Pore Water Pressure Using Rapid Load Test by Jing-Jie Su, Xue-Liang Zhao, Qing Guo, Wei-Ming Gong, Yu-Chen Wang, Tong-Xing Zeng

“…A numerical model incorporating the damping coefficient and permeability coefficient is developed, yielding the time history features of load, displacement, and acceleration. The findings indicate that (1) the long pulse vibration equation, predicated on dynamic effects, aligns more closely with the actual bearing capacity of pile foundations than traditional detection theory; (2) in the rapid load test method, the maximum load applied to sand pile foundations occurs prior to peak displacement, while the ultimate bearing capacity, after accounting for inertial forces, corresponds to the maximum displacement value; (3) the permeability coefficient significantly influences the ultra-static pore water pressure, and the testing error regarding the bearing capacity of low permeability sand pile foundations using the rapid loading method is elevated.…”
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Current Control in Field-Excited Flux Switching Machines: No-Load Induced Voltage Impact Based on the Winding Connection by Diogo P. V. Galo, Thales A. C. Maia, Braz de J. Cardoso Filho

“…Firstly, a comparison of the armature no-load induced voltage is made for field coils connected in both series and parallel. …”
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Research on Identification Method of Transformer Windings’ Loose Vibration Spectrum Considering a Multi-Load Current Condition by Jin Fang, Xudong Deng, Yuancan Xia, Chen Wu, Yuehua Li, Xin Li, Kaixin Chen, Fan Wang, Zhanlong Zhang

“…To address issues including scarce vibration data across multiple load conditions for transformer winding looseness faults, inadequate extraction of two-dimensional spectrogram features, and the inability to boost recognition accuracy caused by overfitting during fault recognition model training, this study constructed a 10 kV power transformer vibration test platform. …”
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