Research of the effectiveness of mechanical testing methods with analysis of features of destructions and temperature effects by A.V. Babushkin, D.S. Lobanov, A.V. Kozlova, I.D. Morev

“…Deformation and failure features of the material under quasi-static loading, as well as at low and high temperatures, are shown.…”
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Research on an hourly heat load forecasting model for district heating systems based on heterogeneous model fusion by Tieliu Jiang, Wenyue Liu, Jianqing Lin, Xu Jin, Zhongyan Liu

“…Accurate load forecasting for district heating systems (DHS) is crucial for ensuring efficient production, distribution, and energy utilization. …”
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Calculation of Open Profile Thin-Walled Rod Systems Strengthened Under Load in Elastic and Plastic Deformations by M.N. Serazutdinov, M.N. Ubaydulloyev

“…This paper presents a variational method for calculation of open profile thin-walled rod systems strengthened under load. The main relations of the method are described. …”
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Concrete/Steel Bond in Reinforced Concrete Structures Subjected to Dynamic Loadings: Basis of New Numerical Model by Pierre Rossi

“…Another distinctive feature of the proposed modeling approach is the exclusive use of linear volumetric finite elements, both for macrocrack propagation and for the concrete/steel bond. …”
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THE FEATURES OF FORMING OF THE PATHOLOGY OF PERIODONTAL TISSUES IN CHILDREN LIVING IN ECOLOGICALLY UNFAVORABLE TERRITORY by N.V. Malko, E.V. Bezvushko

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Application of Fast Kurtosis Spectrum in Fault Feature Extraction of Compound Planetary Gear by Wu Shoujun Feng Fuzhou Wu Chunzhi Ding Chuang

“…The test data of each condition are analyzed, and the influence of operating parameters such as rotating speed and load on fault feature extraction is studied. The results show that the fault feature frequencies can be effectively extracted from the data collected by the selected measuring points under various working conditions, and the increase of rotational speed and load is helpful to the fault feature extraction.…”
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MULTIMODAL SYNTACTIC CONSTRUCTIONS: A STRIKING FEATURE OF DIGITAL COMMUNICATION IN MODERN ENGLISH by Larysa L. Makaruk

“…Structural and semantic analysis were used to identify the semantic and structural features of verbal, non-verbal and paraverbal units, their functional load and their functioning at the syntactic level. …”
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Research on sinusoidal load identification method under structural natural frequency excitation based on LSTM-CNN by HE Wenbo, SUN Hanyu, XIE Jiang, ZHANG Xiaoqiang

“…Addressing the challenge of low identification accuracy in traditional load identification methods based on the truncated singular value decomposition（TSVD）method，especially when the external load frequency approaches or reaches the natural frequency of the structure，the LSTM-CNN load identification model is proposed in this paper. …”
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SP-RF-ARIMA: A sparse random forest and ARIMA hybrid model for electric load forecasting by Kamran Hassanpouri Baesmat, Farhad Shokoohi, Zeinab Farrokhi

“…Accurate Electric Load Forecasting (ELF) is crucial for optimizing production capacity, improving operational efficiency, and managing energy resources effectively. …”
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A fast identification method for multi-joint robot load based on improved Fourier neural network by Xia Yue, Jionghao Mo, Zhibin Li, Haiteng Li, Chunliang Zhang, Shangbin Long

“…In this method, two neural network models are combined to effectively identify different feature sets in high-dimensional data, so as to realize efficient load parameter identification and provide reference for parameter identification of complex nonlinear systems.…”
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Forecasting the daily energy load schedule of working days using meteofactors for the central power system of Mongolia by A. G. Rusina, O. Tuvshin, P. V. Matrenin

“…A feature of the power system is that all the processes of production, transmission and distribution occur simultaneously. …”
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Research on safety and energy efficiency monitoring technology for substation power system based on load holography perception by Yong Li, Jing Guo, Yanhu He, Runming He

“…It extracts the electrical characteristic parameters of all station electrical equipment and identifies and detects the type, electrical information, operation time, operation status, and energy consumption indicators of station electrical equipment through pattern recognition, feature matching, and machine learning. This enables holographic visual perception of load equipment in the station electrical system, significantly improving the safety management level of substations.…”
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LSCD-Pose: A Feature Point Detection Model for Collaborative Perception in Airports by Ruifeng Meng, Jinlei Wang, Yuanhao Huang, Zhaofeng Xue, Yihao Hu, Biao Li

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Distribution Network Fault Type Identification Method Based on Feature-summarizing Matrix by Jinwei FU, Changkai SHI, Hui YIN, Shilei GUAN, Anqi WANG, Yue WANG

“…A method for detecting short-circuit fault types in distribution networks is proposed based on comprehensive feature-summarizing matrix. This method comprehensively considers the difficulties in short-circuit fault-type identification of distribution networks in the case of long-distance transmission, non-linear load switching, incomplete data volume, noise and high-impedance grounding, and the fault types are identified based on the voltage RMS value obtained by Hilbert transform, the voltage harmonics obtained from the Discrete Fourier transform and the converted voltage information by the Hilbert-Huang transform. …”
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Decoding ’Eligibility Unknown’: transparent classification and feature-based reclassification in CAFV analysis by Muhammad Amir Khan, Mona A. Alkhattabi, Sheikh Muhammad Saqib, Tehseen Mazhar, Tariq Shahzad, Asim Seedahmed Ali Osman, Abdul Khader Jilani Saudagar, Habib Hamam

“…Robustness tests under perturbed conditions and DiCE-based counterfactual analysis highlight that approximately 68% of the Eligibility unknown cases can be reclassified under realistic feature adjustments.This framework supports regulatory transparency, informed policymaking, and integration with energy systems through improved EV classification, aiding adoption forecasting, load modeling, and vehicle-to-grid (V2G) planning.…”
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Adaptive information-constrained mapping for feature compression in edge AI and federated systems by Viacheslav Kovtun

“…Abstract This article explores the problem of efficient feature compression in distributed intelligent systems with limited resources, particularly within the context of Edge AI and Federated Learning. …”
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Rice disease detection method based on multi-scale dynamic feature fusion by Qian Fan, Runhao Chen, Bin Li

“…The model adopts the concept of ParameterNet to design the FlexiC3k2Net module, which replaces the neck feature extraction network, thereby bolstering the model's feature learning capabilities without significantly increasing computational complexity. …”
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Optimal Statistical Feature Subset Selection for Bearing Fault Detection and Severity Estimation by Chhaya Grover, Neelam Turk

“…Two datasets are derived from a publicly available database of Case Western Reserve University to identify the capability of features in fault identification under various fault sizes and motor loads. …”
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Quantitative Assessment Method for Industrial Demand Response Potential Integrating STL Decomposition and Load Step Characteristics by Zhuo-Wei Yang, Kai Chang, Ming-Di Shao, Hao Lei, Zhi-Wei Liu

“…A GPR-based nonlinear mapping between extracted load features and response potential enables precise quantification and robust uncertainty estimation. …”
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BLformer: a short-term electrical bus load forecasting method based on enhanced Patch-TSTransformer by Hui Liu, Qian Chen, Di Zhang, Haiyun Wang, Xinchen Zhao, Zaichi Zhang, Lei Fu, Wei Wang, Sizhuang Chen

“…The framework quantifies the importance of temporal features across three load types and filters key input dimensions to reduce redundant information interference. …”
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