Train Hidden Investigation Method Based on Feature Set by CHEN Chaolu, CHEN Jianxiao, XIAO Zhijun

“…Aim at the problems of heavy workload, low efficiency and high residual error rate for the current artificial train hidden investigation, a method and system for train hidden faults automatic troubleshooting based on feature set matching was proposed through train characteristics data and fault feature samples acquiring. …”
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FEATURES OF USE INTERACTIVE TASKS IN MODERN MEANS OF COMPUTER-BASED TRAINING by Victoria V. Bova, Elmar V. Kuliev, Anton A. Novikov

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Learning by precedents based on the analysis of the features properties by V. V. Krasnoproshin, V. G. Rodchanka

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Depression recognition using voice-based pre-training model by Xiangsheng Huang, Fang Wang, Yuan Gao, Yilong Liao, Wenjing Zhang, Li Zhang, Zhenrong Xu

“…The wav2vec 2.0 voice-based pre-training model was used as a feature extractor to automatically extract high-quality voice features from raw audio. …”
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Research of Fault Feature Extraction and Diagnosis of Planetary Gear Train based on SPS and CNN by Pan Zheng, Jianhua Zhou, Sujie Gao, Ben Chen, Xiangxiong Liu, Shijing Wu

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Investigating Islam Training System Features based on Nahj-al-Balaghe Doctrine through Thematic Analysis Approach by Mohammad Zadmehr, Zohreh Alipanahi, Fatemeh Farahmand

“…The current research purpose is to examine the characteristics od Islam training system based on Nahj-al-Balaghe wisdom or doctrine. …”
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Dim and Small Target Detection Based on Local Feature Prior and Tensor Train Nuclear Norm by Anqing Wu, Xiangsuo Fan, Lei Min, Wenlin Qin, Ling Yu

“…To solve the above problems, we propose an infrared dim and small target detection method that combines local feature prior and tensor train nuclear norm (TTNN). …”
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Economy regional features and specialist training structure by K. V. Lebedev, L. V. Vasilyeva, E. S. Sumenova

“…The purpose of the article is to study the regional economic features of the Russian Federation members in relation with a personnel training structure with higher education. …”
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Extracting of Fault Features for Rotating Machinery of High-speed Train Based on EEMD Energy Entropy-LPP by Chen ZHANG, Tao FANG, Kaiqi YAN

“…Aiming at the difficulty of extracting the weak fault features of the high-speed train bearing rotor system, a method for extracting the fault features of the high-speed train rotor system based on EEMD energy entropy-LPP was proposed. …”
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Application of an Impact Feature Extracting Method Based on WATV in Fault Diagnosis of High-speed Train Bearing by Huiying YANG, Chuanhui WU, Liu HE, Ying LONG

“…Extracting impact features from a fault vibration signal of high-speed train bearing is significant to some fault diagnoses. …”
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Features of integrated professional training for physically disabled people in a community-based rehabilitation programme in the rural and urban areas of Congo by Prosper M. Lutala, Prosperine Masika, Caude Kasereka, Eric Kasagila

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Semantics-Assisted Training Graph Convolution Network for Skeleton-Based Action Recognition by Huangshui Hu, Yu Cao, Yue Fang, Zhiqiang Meng

“…The skeleton-based action recognition networks often focus on extracting features such as joints from samples, while neglecting the semantic relationships inherent in actions, which also contain valuable information. …”
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An artificial intelligence-based platform for personalized predictions of Metacognitive Training effectiveness by Caroline König, Pedro Copado, Alfredo Vellido, Àngela Nebot, Cecilio Angulo, Maria Lamarca, Vanessa Acuña, Fabrice Berna, Steffen Moritz, Łukasz Gawęda, Susana Ochoa

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IoT-enhanced multi-attention and lightweight feature integration for human pose estimation in motion training systems by Junwen Chen, Jian Yang, Zhiqun Wang

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Yolov4 High-Speed Train Wheelset Tread Defect Detection System Based on Multiscale Feature Fusion by Changfan Zhang, Xinliang Hu, Jing He, Na Hou

“…This study aims to solve this problem by proposing a Yolov4-based multiscale feature fusion detection system for high-speed train wheel tread defects. …”
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Hybrid pre trained model based feature extraction for enhanced indoor scene classification in federated learning environments by Monica Dutta, Deepali Gupta, Vikas Khullar, Sapna Juneja, Roobaea Alroobaea, Pooja Sapra

“…The performance of the proposed model was further compared with FL-based training across four clients using IID and non-IID datasets. …”
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Research on Pantograph Defect Classification Based on Vibration Signals by Vytautas Gargasas, Kęstas Rimkus, Mindaugas Alekna, Andrius Knyš, Mindaugas Žilys, Algimantas Valinevičius

“…The contact surface between the pantograph and the catenary wire experiences mechanical and thermal effects during the train’s movement. Typically, this contact surface on the pantograph is covered by a segmented carbon or copper rod, attached to an aluminum base. …”
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Bearing fault diagnosis method based on dual-channel feature fusion by ZHANG Xiaoning, ZHU Huilong, XIN Liang, YANG Muchen, WANG Hao

“…To solve this limitation, this paper presents a rolling bearing fault diagnosis method based on dual-channel feature fusion. Firstly, the time-frequency analysis diagrams of rolling bearing vibration signals were constructed by using multiple Q-factor continuous Gabor wavelet transform (CMQGWT) and fast spectral coherence (Fast-SC), respectively. …”
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Added wave resistance prediction and comparative study based on point cloud feature extraction by Mingfeng WU, Renchuan ZHU, Dekang XU

“…ObjectiveIn order to rapidly forecast added wave resistance in the ship design stage, this paper proposes a neural network based on point cloud feature extraction. MethodsTaking the Series 60 as an example, the corresponding added wave resistance prediction model is set up and compared with the traditional model based on the principal design parameters. …”
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Precise Recognition and Feature Depth Analysis of Tennis Training Actions Based on Multimodal Data Integration and Key Action Classification by Weichao Yang

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