Identification Method for Resistance Coefficients in Heating Networks Based on an Improved Differential Evolution Algorithm by Enze Zhou, Yaning Liu, Minjia Du, Junli Yu, Wenxiao Xu

“…Furthermore, a multi-constrained identification model is constructed based on Kirchhoff’s laws. …”
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Determination of the Parameters of Langmuir-Type Isotherms by the Frontal Analysis Method. Some Identification Aspects by Waldemar Nowicki, Grażyna Nowicka

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Methods for improving the identification of acute stroke during ambulance calls: A scoping review by Areej Almutairi, Fadila Wirawan, Adam Lloyd, Tom Moullaali, Gareth Clegg

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Modulation Format Identification Method Based on Multi-Feature Input Hybrid Neural Network by Zhiqi Huang, Xiangjun Xin, Qi Zhang, Haipeng Yao, Feng Tian, Fu Wang

“…A modulation format identification (MFI) method is proposed for high-speed optical fiber communication systems employing probabilistic shaping (PS) signals in polarization division multiplexing (PDM). …”
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Methods and results of identification of natural interconnection of grain and an ear during ripening and complete ripeness by A. I. Buriyanov, I. V. Chervyakov, А. А. Kolinko, V. I. Pakhomov, E. V. Ionova, V. F. Khlystunov

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A Case Study Comparing Methods for Coal Thickness Identification in Complex Geological Conditions by Tao Ding, Yanhui Wu, Lei Wang, Zhen Nie, Lei Zhang

“…This study compares the effectiveness of different methods for coal thickness identification, aiming to identify the most accurate approach and provide a reference for intelligent coalmine development. …”
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Identification method for wheel/rail tread defects based on integrated partial convolutional network by CHENG Xiang, HE Jing, ZHANG Changfan, JIA Lin

“…This method incorporated a dense underexposure self-correction network (D-SCNet) integrated into the initial layer of the identification model. …”
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An original method of direct calculation for the identification of the last hinge and the definition of the deformative state at collapse by Roberto Maria De Salvo

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Method for Remote State Identification Snow-Ice Cover by the Ratio of Fresnel Reflection Coefficients by V. G. Mashkov

“…In contrast to the known methods of identification of the surface layer the identification of multilayer medium layers was carried out.…”
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An Empirical Evaluation of Supervised Learning Methods for Network Malware Identification Based on Feature Selection by C. Manzano, C. Meneses, P. Leger, H. Fukuda

“…Therefore, it is empirically evidenced that the proposed method for the selection of features, based on statistical techniques of reduction and extraction of attributes, allows improving the identification performance of malware traffic, discriminating it from the benign traffic of Android applications.…”
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Feature Extraction and Anomaly Identification Method for Power Customer Price in Power Market Enviroment by ZHU Feng, SHAN Chao, WU Ning, CAI Qixin, ZHU Yunan, LIU Yunpeng, ZUO Qiang

“…Identifying electricity price anomalies and exploring the underlying reasons in such a complex market environment, especially with incomplete data, is a key issue for promoting the orderly operation of power market and ensuring the reasonable interests of power customers. Therefore, a method is established for feature extraction and anomaly identification of electricity prices for power customers. …”
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An empty-nest power user identification method based on weighted random forest algorithm by Zimeng LU, Jiayi CHEN, Jing LI, Yue XIE, Xinli JIANG, Lei HAN, Qian GUO

“…In view of the lack of effective technical means for the identification of empty-nesters by the government and the society,an empty-nesters prow user identification method based on weighted random forest algorithm was proposed.Firstly,some accurate labels of empty-nest users were obtained through questionnaires,and electricity characteristic library was drawn from three aspects:electricity consumption level,electricity consumption fluctuation and electricity consumption trend.Due to the data imbalance between empty-nest and non-empty-nest users,the weighted random forest algorithm was used to improve the data sensitivity phenomenon of machine learning.Finally,the algorithm model was put online in the power company’s acquisition system.The 2 000 unknown users of various types were identified,among which the identification accuracy of empty-nest users was 74.2%.The results show that the identification of empty-nesters from the perspective of electricity consumption can help power grid companies to understand the personalized and differentiated needs of empty-nesters,so as to provide users with more sophisticated services,and also assist the government and society to carry out assistance work.…”
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Damage Identification Method of Beam Structure Based on Modal Curvature Utility Information Entropy by Chang-Sheng Xiang, Ling-Yun Li, Yu Zhou, Zi Yuan

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UHVDC Transmission Line Fault Identification Method Based on Generalized Regression Neural Network by XIE Jia, LIU Feng, KE Yanguo, YIN Zhen, RUAN Wei, YAO Jinming

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Dynamic Identification Method of Distribution Network Weak Links Considering Disaster Emergency Scheduling by Wenlu Ji, Lan Lan, Lu Shen, Dahang Shi, Chong Wang

“…Finally, the four indexes are comprehensively analyzed, and the dynamic identification of the weak links in the distribution network are realized by the analytic hierarchy process (AHP)—entropy weight (EW)—technique for order preference by similarity to an ideal solution (TOPSIS) method. …”
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A Novel Tool Wear Identification Method Based on a Semi-Supervised LSTM by Xin He, Meipeng Zhong, Chengcheng He, Jinhao Wu, Haiyang Yang, Zhigao Zhao, Wei Yang, Cong Jing, Yanlin Li, Chen Gao

“…The proposed method leverages both small labeled and abundant unlabeled data to improve tool wear identification performance. …”
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IDENTIFICATION OF PRODUCTIVITY VALUES USING THE METHOD PRODUCTIVITY DELAY MODEL ON WALLER BEAM WORK by Melvin Yeremia, Ryobi Irfanto

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THE NEURAL NETWORK METHOD CLASSIFICATION OF LITERARY TEXT FROM THE VIEWPOINT OF ITS GENRE IDENTIFICATION by Ekaterina Andreevna Kuchukova, Irina Andreevna Babenko, Natalia Grigorievna Gudieva, Safwat Chiad Al-Galda

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WORKING OUT AND VALIDATION CHARACTERISTICS OF THE METHOD OF QUANTITATIVE IDENTIFICATION OF DIMEBON CONTENT IN DERMATOLOGICAL GEL by K. N. Koryanova, A. V. Majorova, E. F. Stepanova, E. I. Khartyunova, S. P. Senchenko

“…Working out and further validation of the method of quantitative identification of dimebon in soft dosage forms were the purpose of the study. …”
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A Localization Enhancement Method Based on Direct-Path Identification and Tracking for Future Networks by Yuhong Huang, Youping Zhao

“…To address this problem, this paper proposes a localization enhancement method based on direct-path identification and tracking. …”
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