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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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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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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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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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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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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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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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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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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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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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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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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Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization by Amit Kumar K., Satheesha T.Y., Syed Thouheed Ahmed, Sandeep Kumar Mathivanan, Sangeetha Varadhan, Mohd Asif Shah

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Rapid detection of wheel tread defects for YOLO-v5 trains based on residual attention by ZHANG Changfan, XU Yifu, HE Jing, YANG Haonan

“…In respect of large noise interference of wheel tread and insufficient feature fusion of traditional detection algorithms, in order to achieve fast and accurate detection of wheel tread defects, a method for rapid detection of wheel tread defects for YOLO-v5 trains based on residual attention was proposed. …”
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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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A Multimodal Bone Stick Matching Approach Based on Large-Scale Pre-Trained Models and Dynamic Cross-Modal Feature Fusion by Tao Fan, Huiqin Wang, Ke Wang, Rui Liu, Zhan Wang

“…A dynamic cross-modal feature fusion mechanism is introduced to effectively combine these features, enabling better interaction and weighting based on the contextual relevance of each modality. …”
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