A Hybrid Data-Driven Method for Main Circuit Gound Faults Diagnosis in Electrical Traction Drive Systems by Xinyao Hou, Juntong Liu, Jinxin Zhang, Qiang Ni

“…Secondly, the initial feature variables of different types of MCGF are analyzed in the time and frequency domains by wavelet transform, and four feature indicators are calculated. …”
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Effective spectral pre-processing methods enhance accuracy of soil property prediction by NIR spectroscopy by Mehdi Eslamifar, Hamed Tavakoli, Eiko Thiessen, Rainer Kock, José Correa, Eberhard Hartung

“…This research assessed the efficacy of two two-band index transformations—simple ratio indices (SRI) and normalized difference indices (NDI)—in addition to four distinct three-band index transformations (TBI) for predicting various soil characteristics using NIR spectroscopy in a laboratory setting. …”
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A METHOD OF DIAGNOSING OIL-FILLED ELECTRICAL EQUIPMENT WITH APPLICATION OF A CONSTANT MAGNETIC FIELD by G. Kolesnikov, N. Shchikunov

“…For the thin layer plate was measured by the area of the spot and according to the previously constructed calibration schedule found number ionol in transformer oil. The method of control of antioxidant additive in transformer oil based on thin-layer chromatography on Sorbfil plates and different polarity organic solvents is proposed.…”
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Modulation recognition method based on multiscale convolutional fusion coding networks by LI Guojun, ZHU Siyuan, ZHENG Jianzhong, WANG Jie, YE Changrong

“…To address the issue of insufficient feature extraction in existing modulation recognition methods that limited classification accuracy, a Transformer-based modulation recognition method was proposed. …”
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Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution by SONG Yiming, ZHOU Qianqian, CHEN Ye, LIU Dahai, ZHOU Hongzhao, XIAO Wuyun

“…Finally, the symmetric zero-area transformation method was used to detect the weak peaks. …”
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Evaluation of Photogrammetric Methods for Displacement Measurement During Structural Load Testing by Ante Marendić, Dubravko Gajski, Ivan Duvnjak, Rinaldo Paar

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Integrated Spatiotemporal Hybrid Solar PV Generation Forecast Between Countries on Different Continents Using Transfer Learning Method by Bowoo Kim, Kaouther Belkilani, Gerd Heilscher, Marc-Oliver Otto, Jeung-Soo Huh, Dongjun Suh

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A Robust Control Method for Q-S Synchronization between Different Dimensional Integer-Order and Fractional-Order Chaotic Systems by Adel Ouannas, Raghib Abu-Saris

“…A robust control approach is presented to study the problem of Q-S synchronization between Integer-order and fractional-order chaotic systems with different dimensions. Based on Laplace transformation and stability theory of linear integer-order dynamical systems, a new control law is proposed to guarantee the Q-S synchronization between n-dimensional integer-order master system and m-dimensional fractional-order slave system. …”
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Review and Validation of Plant Gene Function Research Methods Bypassing Tissue Culture by Huanghuang Jiang, Suya Huang, Jiayi Wang, Deming Sun, Min Wang, Su Lin, Jinhua Liu, Kai Xu, Bei Liu, Haijie Ma

“…We analyzed transformation efficiency in strawberry and citrus using the <i>A. rhizogenes</i> infiltration method, employing GFP to label different subcellular locations to investigate the morphology of microfilaments, nuclei, and peroxisomes in strawberry cells. …”
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Survey on video image reconstruction method based on generative model by Yanwen WANG, Weimin LEI, Wei ZHANG, Huan MENG, Xinyi CHEN, Wenhui YE, Qingyang JING

“…Traditional video compression technology based on pixel correlation has limited performance improvement space, semantic compression has become the new direction of video compression coding, and video image reconstruction is the key link of semantic compression coding.First, the video image reconstruction methods for traditional coding optimization were introduced, including how to use deep learning to improve prediction accuracy and enhance reconstruction quality with super-resolution techniques.Second, the video image reconstruction methods based on variational auto-encoders, generative adversarial networks, autoregressive models and transformer models were discussed emphatically.Then, the models were classified according to different semantic representations of images.The advantages, disadvantages, and applicable scenarios of various methods were compared.Finally, the existing problems of video image reconstruction were summarized, and the further research directions were prospected.…”
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A Comprehensive Evaluation of Monocular Depth Estimation Methods in Low-Altitude Forest Environment by Jiwen Jia, Junhua Kang, Lin Chen, Xiang Gao, Borui Zhang, Guijun Yang

“…This paper presents a comprehensive evaluation of state-of-the-art deep learning-based MDE methods on low-altitude forest datasets. The evaluated models include both self-supervised and supervised approaches, employing different network structures such as convolutional neural networks (CNNs) and Vision Transformers (ViTs). …”
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Public Administration Transformation Based on Research in Social Neurosciences in the Context of Sustainable Development (Part 2) by N. M. Slanevskaya

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Vibration Signal-Based Fault Diagnosis of Rotary Machinery Through Convolutional Neural Network and Transfer Learning Method by Chirag Mongia, Shankar Sehgal

“…After achieving high classification performance at source domain conditions, the performance of the model is re-evaluated by applying it to the Case Western Reserve University (CWRU) dataset as the target domain through the TL method. short-time Fourier transform is employed for signal preprocessing, enhancing feature extraction and model performance. …”
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Public Administration Transformation Based on Research in Social Neurosciences in the Context of Sustainable Development. (Part 1) by N. M. Slanevskaya

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Changes in chemical composition, volatile compound, and bioactive compounds retention in shallots (Allium ascalonicum L.) under different drying methods by Jiranan Ratseewo, Theeraphan Chumroenphat, Hua Li, Sirithon Siriamornpun

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A Study of the Corrosion Behavior of AHSS Complex-Phase CP 780 Employing an Electrochemical Noise Technique Analyzed by Different Methods by Maria Lara-Banda, Facundo Almeraya-Calderón, Jesús Manuel Jáquez-Muñoz, Demetrio Nieves-Mendoza, Miguel Angel Baltazar-Zamora, Javier Olguín-Coca, Francisco Estupiñan-Lopez, Jose Cabral Miramontes, Griselda Santiago-Hurtado, Citlalli Gaona-Tiburcio

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PDSDC: Progressive Spatiotemporal Difference Capture Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

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Financial crisis impact on the efficiency evaluation of university research achievements transformation: a study based on fixed and interactive network data envelopment analysis me... by Yuping Ma, Yuping Ma, Mingqian Xu

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THE IMPACT OF TRANSFORMATIONAL LEADERSHIP, CAREER ADAPTABILITY AND CREATIVITY ON SALESPEOPLE’S REACTIONS TOWARD DIGITAL TRANSFORMATION by Kai-Ling CHANG, Lu-Ming TSENG

“…The research method used here was survey research. Self-administered questionnaires were distributed to 318 full-time life insurance salespeople working across different insurance companies in Taiwan. …”
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Application of Auxiliary Transformer Series Compensation Technology in Voltage Compensation of Power Voltage Transformer by Xuan LI, Kun LIU, Xichao LIU, Jiajing DING, Bing AI, Qiang SHI

“…In view of the fact that the supply voltage of power voltage transformer varies with load, this paper introduces a method of supply voltage compensation based on series compensation technology of auxiliary transformer. …”
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