A probabilistic neural network-based bimanual control method with multimodal haptic perception fusion by Xinrui Chi, Zhanbin Guo, Fu Cheng

“…In the master-slave robot system, single-modal tactile perception has problems such as collision detection delay (>120 ms), force estimation error (>2.3 N), and sensor conflicts, resulting in a 37 % failure rate of robot operations in nuclear decommissioning scenarios and a 19.2 % risk of excessive tissue compression in laparoscopic surgery. …”
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AC contactor fault recognition based on ERF and BO-SVC by LIU Shuxin, QI Xinzhi, LYU Xianfeng

“…Following the feature extraction step, the selected optimal features are fed into BO-SVC recognition model. …”
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Multi-Scale Fusion Lightweight Target Detection Method for Coal and Gangue Based on EMBS-YOLOv8s by Lin Gao, Pengwei Yu, Hongjuan Dong, Wenjie Wang

“…This structure can fully utilize the features of different scales, improve the model’s detection accuracy, and reduce its complexity. …”
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D’un problème d’action publique à la structuration d’un champ de recherche … et vice-versa : l’exemple de l’introduction de la question logistique dans l’aménagement urbain... by Jean Debrie

“…The interaction between knowledge and professional practices is a characteristic feature of academic approaches to urban planning and development. …”
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Multi-scale target intelligent detection method for coal, foreign object and early damage of conveyor belt surface under low illumination and dust fog by Hongwei FAN, Jinpeng LIU, Xiangang CAO, Chao ZHANG, Xuhui ZHANG, Man LI, Hongwei MA, Qinghua MAO

“…Then, aiming at the problem of insufficient feature extraction ability of backbone network, a new P_Res2Block multi-scale feature representation module is constructed by using Partial Conv and Res2Net, and it is used to replace the Bottleneck of C3 module in backbone network to obtain a new P_RC3 lightweight multi-scale feature extraction module, so as to increase the receptive field of the model and enhance the attention to small targets. …”
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Audio recognition method of belt conveyor roller fault based on convolutional neural network and linear regression by Xiangyuan CHEN, Wei QIN, Yanchi LIU, Minghua LUO

“…Finally, based on two weak classifiers, using the spectrogram and sound quality features as data sources, fusion of multimodal faulty features and enrich data dimensions, based on the spectrogram and sound quality features, residual convolutional neural network computing image features, fast fitting of audio basic features using multiple linear regression, a roller fault voiceprint representation model combining convolutional neural network and linear regression is generated for joint training. …”
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A Welding Defect Detection Model Based on Hybrid-Enhanced Multi-Granularity Spatiotemporal Representation Learning by Chenbo Shi, Shaojia Yan, Lei Wang, Changsheng Zhu, Yue Yu, Xiangteng Zang, Aiping Liu, Chun Zhang, Xiaobing Feng

“…To address interference problems in molten pool images under complex welding scenarios (e.g., reflected laser spots from spatter misclassified as porosity defects) and the limited interpretability of deep learning models, this paper proposes a multi-granularity spatiotemporal representation learning algorithm based on the hybrid enhancement of handcrafted and deep learning features. …”
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Evaluation of the Relation Between Democracy and the Political Participation Over Türkiye by Gizem Kabasakal, Abdulvahap Akıncı

“…Political participation is one of the most defining features of democratic practices that date back to ancient Greece. …”
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MOVING OBJECT DETECTION USING DISCRETE COSINE TRANSFORM BASED BACKGROUND SUBTRACTION by Sharmistha Puhan, Sambit Kumar Mishra, Deepak Kumar Rout

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APPLICATION OF SEMI SUPERVISED LAPLACE SCORE IN ROLLING BEARING FAULT DIAGNOSIS (MT) by LIANG Chuang, CHEN ChangZheng, LIU Ye, JIA XinYing

“…Aiming at the problem of insufficient labeled samples in the process of rolling bearing fault diagnosis, a rolling bearing fault diagnosis model based on semi supervised Laplace score（SSLS） and kernel principal component analysis（KPCA） is proposed by combining with the idea of feature selection and secondary mining. …”
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Epic Synthesis in Late Work of I. S. Turgenev by V. G. Andreeva

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CCDR: Combining Channel-Wise Convolutional Local Perception, Detachable Self-Attention, and a Residual Feedforward Network for PolSAR Image Classification by Jianlong Wang, Bingjie Zhang, Zhaozhao Xu, Haifeng Sima, Junding Sun

“…Subsequently, replacing the conventional feedforward network with a residual feedforward network that incorporates residual structures aids the model in better representing local features, further enhances the capability of cross-layer gradient propagation, and effectively alleviates the problem of vanishing gradients during the training of deep networks. …”
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Dynamic graph attention network for local leisure event recommendation in event-based social networks by Xia Peng, Yazhao Wu, Zhiming Gui, Yitian Liu, Zhou Huang, Yi Bao

“…The model extracts event features, mines user preferences from historical events, models social relationships using graph attention networks, and captures recent preference features through temporal social networks with long short-term memory networks. …”
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Health Modeling — An Innovative Educational Program for the General Medicine Specialty by M. M. Litvinova, M. S. Khamidulina, T. M. Litvinova, Yu. A. Lutokhina, E. N. Dudnik, N. V. Kireeva, K. V. Ivashkin, B. A. Volel

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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

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Colour guided ground-to-UAV fire segmentation by Rui Zhou, Tardi Tjahjadi

“…First, we identify domain-invariant fire features by deriving fire-discriminating components (u*VS) defined in colour spaces Lu*v*, YUV, and HSV. …”
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Semi-natural modelling in the analysis of the discriminatory characteristics of the image sensor with the exponential correlation function by Vladimir Pavlovich Gerasimov, Vladimir Danilovich Kovalyov, Sergey Vladimirovich Gerasimov, Alexander Yur'yevich Darzhanija

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The Hybrid Model of Multivariate Index Analysis of Current Assets by Alexander Nickolaevich Tsatsulin

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The Hybrid Model of Multivariate Index Analysis of Current Assets by Alexander Nickolaevich Tsatsulin

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Radar HRRP recognition based on supervised exponential sparsity preserving projection with small training data size by X. Yang, G. Zhang, H. Song

“…Second, matrix exponential is utilized to ensure the positive definiteness of the coefficient matrices, thereby addressing the small-sample-size (SSS) problem. Finally, an efficient numerical method is presented for solving the corresponding large-scale matrix exponential eigenvalue problem. …”
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