Music Classification and Detection of Location Factors of Feature Words in Complex Noise Environment by Yulan Xu, Qiaowei Li

“…In order to solve the problem of the influence of feature word position in lyrics on music emotion classification, this paper designs a music classification and detection model in complex noise environment. …”
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Quantitative evaluation of college music teaching pronunciation based on nonlinear feature extraction by Wang Aiping

“…The complexity and diversity of different music styles created by different composers make music evaluation a very difficult problem. To quantitatively evaluate the quality of music pronunciation, this work proposes a method for extracting nonlinear features of music signals. …”
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Image semantic segmentation with hierarchical feature fusion based on deep neural network by Dawei Yang, Yan Du, Hongli Yao, Liyan Bao

“…The accuracy of image semantic segmentation is damaged. To solve this problem, we present an image semantic segmentation with hierarchical feature fusion based on deep neural network (ISHF). …”
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FEATURES OF CONDITION OF PERIODONTAL TISSUES IN DISABLED CHILDREN WITH CENTRAL NERVOUS SYSTEM DISEASES by M.A. Gavrilenko

“…Processing of quantitative indices was carried out using Student's t-test (Р  0,01). Features of dentoalveolar disorders were studied during dental examination without jaws imprinting. …”
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An Effective Fault Feature Extraction Method for Gas Turbine Generator System Diagnosis by Jian-Hua Zhong, JieJunYi Liang, Zhi-Xin Yang, Pak Kin Wong, Xian-Bo Wang

“…To improve the diagnostic performance in the GTGS, an effective fault feature extraction framework is proposed to solve the problem of the signal disorder and redundant information in the acquired signal. …”
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Visual Place Recognition Based on Dynamic Difference and Dual-Path Feature Enhancement by Guogang Wang, Yizhen Lv, Lijie Zhao, Yunpeng Liu

“…Aiming at the problem of appearance drift and susceptibility to noise interference in visual place recognition (VPR), we propose DD–DPFE: a Dynamic Difference and Dual-Path Feature Enhancement method. …”
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Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation by Shucai Li, Na Zhang, Gang Yang, Yannong Hou, Xingzhong Zhang

“…Aiming at the difficulties of scarcity of defect samples on the surface of power insulators, irregular morphology and insufficient pixel-level localization accuracy, this paper proposes a defect detection method based on graph feature diffusion distillation named GFDD. The feature bias problem is alleviated by constructing a dual-division teachers architecture with graph feature consistency constraints, while the cross-layer feature fusion module is utilized to dynamically aggregate multi-scale information to reduce redundancy; the diffusion distillation mechanism is designed to break through the traditional single-layer feature transfer limitation, and the global context modeling capability is enhanced by fusing deep semantics and shallow details through channel attention. …”
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Features of simulation of operator control of unmanned aerial vehicle and its target load by P. I. Savelov, Penghao Gu, A. A. Lobaty

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Adaptive information-constrained mapping for feature compression in edge AI and federated systems by Viacheslav Kovtun

“…Abstract This article explores the problem of efficient feature compression in distributed intelligent systems with limited resources, particularly within the context of Edge AI and Federated Learning. …”
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Unlocking latent features of users and items: empowering multi-modal recommendation systems by Subham Raj, Sriparna Saha

“…To this end, we propose a novel framework where we capture the latent features of different modalities and also consider the user–user affinity to solve the Recommendation System (RecSys) problem. …”
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Multiscale Feature Filtering Network for Image Recognition System in Unmanned Aerial Vehicle by Xianghua Ma, Zhenkun Yang, Shining Chen

“…To solve this problem, a multiscale feature filtering network (MFFNet) is proposed in this paper for image recognition system in the UAV. …”
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Features of Compressed Natural Gas Physical Distribution: A Bulgarian Case Study by Miroslav Stefanov

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Object Tracking Algorithm Based on Multi-Layer Feature Fusion and Semantic Enhancement by Jing Wang, Yanru Wang, Dan Yuan, Yuxiang Que, Weichao Huang, Yuan Wei

“…However, this algorithm exhibits insufficient tracking accuracy and boundary box drift when dealing with similar background clutter, which directly affects the subsequent tracking process. To overcome this problem, this paper constructs a semantic enhancement model, which utilizes multi-layer feature representations extracted from deep networks, and correlates and fuses shallow features with deep features by using cross-attention. …”
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StomachNet: Optimal Deep Learning Features Fusion for Stomach Abnormalities Classification by Muhammad Attique Khan, Muhammad Shahzad Sarfraz, Majed Alhaisoni, Abdulaziz A. Albesher, Shuihua Wang, Imran Ashraf

“…A fully automated design is proposed in this work employing optimal deep learning features for classifying gastrointestinal infections. …”
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Strategies of Interaction between Parents and Preschool Children and Features of Ideas about Parenting by T.P. Avdulova, T.V. Krotova, G.R. Khuzeeva

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Features of formation of civil identity in children and adolescents in a summer holiday camp by Lyudmila Alexandrovna Saenko, Elena Igorevna Zritneva

“…The article presents the results of the analysis of the problem of the formation of a civil identity of a person. …”
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Infrared Small Target Detection Based on Density Peak Search and Local Features by Leihong Zhang, Hui Yang, Qinghe Zheng, Yiqiang Zhang, Dawei Zhang

“…We then use local contrast to the candidate target points to enhance the gradient features and suppress background clutter. The Facet model is used to compute multidirectional gradient features at each point. …”
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Leaf disease detection and classification in food crops with efficient feature dimensionality reduction. by Khasim Syed, Shaik Salma Asiya Begum, Anitha Rani Palakayala, G V Vidya Lakshmi, Sateesh Gorikapudi

“…This study proposes a computer vision system that integrates BiLSTM with CNN features for image categorization tasks. The system effectively reduces feature dimensionality using learned features, addressing the high dimensionality problem in leaf image data and enabling early, accurate disease identification. …”
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FEATURES OF JUDICIAL PROTECTION OF THE RIGHTS OF BUSINESS ENTITIES DURING THE CONSIDERATION OF BANKRUPTCY CASES by Anna B. Tolstykh

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Joint boundary-aware and multi-feature fusion for point cloud semantic segmentation by LU Jian, ZHAO Jie, GUO Huihui, LIANG Youcheng, ZHENG Yufei

“…Current point cloud semantic segmentation methods based on deep learning tend to overlook the boundary of objects in transition area, resulting in the problem of ambiguous features at the boundary. This article proposed a point cloud semantic segmentation method with boundary-aware and multi-feature fusion (BA-MFF). …”
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