Student behavior recognition based on multi-view learning via mask RCNN and its application in education management by Fei Xiao

“…The feature norm is incorporated into the loss function as an index of image quality. …”
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Aerodynamic Optimization Design of an Orthogonal Octo-Rotor UAV in a Hovering State by Yao Lei, Hengxing Yang, Jifu Hu, Xuan Li, Jiafu Qiu, Yuanfeng Zhang

“…Compared with the traditional planar multirotor UAV, this novel orthogonal octo-rotor UAV features a compact structure with four horizontal main rotors for stability and thrust and four vertical auxiliary rotors for lateral movement. …”
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Multi-View and Multi-Type Feature Fusion Rotor Biofouling Recognition Method for Tidal Stream Turbine by Haoran Xu, Dingding Yang, Tianzhen Wang, Mohamed Benbouzid

“…However, image signals are sensitive to background interferences, and underwater targets blend with the water background, making it difficult to extract target features. …”
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AAV-shDUX4 provides short-term benefits but limited long-term efficacy in a DUX4 mouse model of FSHD by S. Sohn, S. Reid, M. Bowen, C. Hudon, E. Corbex, B. Morel, C. Hourde, V. Mariot, J. Dumonceaux

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SPECIFIC FEATURES OF FORMATION AND HISTORICAL ROLE OF GREBENSKY AND TERSKY COSSACKS AT THE EARLY STAGE OF DEVELOPMENT by A. A. Kudryavtsev

“…It should be noted that it did not interfere with their main task -protection of interests and the southern boundaries of Russia.…”
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Signal entropy feature extraction and simulation analysis of the armored target with passive millimeter wave by Jianli FENG, Mingshi LUO, Xiaomin ZHANG

“…According to the irregular fluctuation of the armored target's detection signal with passive millimeter wave,an armored target's recognition method which the feature is entropy was proposed.Based on the measured data,the validity of this method was demonstrated.Through simulation,the antenna temperature curve of armored target,dry sand,steel and water was obtained respectively.Then,the entropy feature of each one was extracted.The histogram and the average value of the entropy were analyzed.The results show that when the entropy was used as the feature,the armored target from the background and typical“interferences”can be effectively recognized and practical engineering significance was obtained.…”
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Signal entropy feature extraction and simulation analysis of the armored target with passive millimeter wave by Jianli FENG, Mingshi LUO, Xiaomin ZHANG

“…According to the irregular fluctuation of the armored target's detection signal with passive millimeter wave,an armored target's recognition method which the feature is entropy was proposed.Based on the measured data,the validity of this method was demonstrated.Through simulation,the antenna temperature curve of armored target,dry sand,steel and water was obtained respectively.Then,the entropy feature of each one was extracted.The histogram and the average value of the entropy were analyzed.The results show that when the entropy was used as the feature,the armored target from the background and typical“interferences”can be effectively recognized and practical engineering significance was obtained.…”
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Landscape structure coupled to instream features shape freshwater biodiversity in Cerrado agricultural landscapes by Juliana Silveira dos Santos, Erica Hasui, Fabrício Barreto Teresa, João Carlos Nabout, Karine Borges Machado, Felipe Martello, Ludgero Cardoso Galli Vieira, Rosane Garcia Collevatti

“…Freshwater biodiversity is threatened at global scale, thus, understanding how it responds to anthropogenic interferences is critical, especially in regions where human disturbances have quickly altered natural ecosystems. …”
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A Detection Method With Antiinterference for Infrared Maritime Small Target by Xun Zhang, Aiyu Wang, Yan Zheng, Suleman Mazhar, Yasheng Chang

“…These dissimilarities construct the feature of a region. With this feature, detection for recalling all suspected targets is achieved. …”
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Terahertz Multicolor Imaging of Opaque Objects Using Self-Mixing Interferometry with Quantum-Cascade Lasers by Jiaxuan Cai, Yan Xie, Yingxin Wang, Meng Chen, Lianhe Li, Mohammed Salih, Edmund H. Linfield, Ning Yang, Weidong Chu, Peng Bai, Ziran Zhao

“…Self-mixing interference in a terahertz quantum-cascade laser has been demonstrated to be suitable for the detection of weak signals scattered or reflected by the target. …”
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SFANet: A Ground Object Spectral Feature Awareness Network for Multimodal Remote Sensing Image Semantic Segmentation by Yizhou Lan, Daoyuan Zheng, Yingjun Zheng, Feizhou Zhang, Zhuodong Xu, Ke Shang, Zeyu Wan

“…Meanwhile, the inclusion of redundant features in the fusion process can also interfere with model performance. …”
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A Sparse Feature-Based Mixed Signal Frequencies Detecting for Unmanned Aerial Vehicle Communications by Yang Wang, Yongxin Feng, Fan Zhou, Xi Chen, Jian Wang, Peiying Zhang

“…On this basis, complex dilated convolution and deconvolution are used successively to perform feature extraction on the separated signals, which enhances the receptive field and frequency resolution ability of the network for signals, reduces the interference between noise and different component signals, and realizes the accurate estimation of the number of components and carrier frequencies. …”
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SFG-Net: A Scattering Feature Guidance Network for Oriented Aircraft Detection in SAR Images by Qingyang Ke, Youming Wu, Wenchao Zhao, Qingbiao Meng, Tian Miao, Xin Gao

“…This enables the network to focus on critical discriminative features and leverage robust scattering features as guidance to enhance detection accuracy while suppressing interference. …”
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An Automatic Modulation Recognition Algorithm Based on Time–Frequency Features and Deep Learning with Fading Channels by Xiaoya Zuo, Yuan Yang, Rugui Yao, Ye Fan, Lu Li

“…However, under the influence of the electromagnetic environment, communication signals are exposed to varying degrees of interference, which poses a challenge to the recognition of modulation types. …”
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Subway Platform Passenger Flow Counting Algorithm Based on Feature-Enhanced Pyramid and Mixed Attention by Jing Zuo, Guoyan Liu, Zhao Yu

“…In the proposed passenger flow counting algorithm, the feature-enhanced pyramid structure is used to retain the channel information of deep features and eliminate the aliasing effect caused by fusion to enhance the feature representation of the original image and effectively solve the scale problem. …”
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A New Time-frequency Domain Feature Extraction Method for Rolling Bearing Fault Diagnosis by Chen Junjie, Wang Xiaofeng, Liu Fei, Zhou Wenjing

“…For fault diagnosis of rolling bearings,a new feature extraction strategy based on short time Fourier transform（ STFT） and bag of wordss（ BOW） is proposed. …”
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Weak Fault Feature Extraction for Rolling Element Bearing Based on a Two-Stage Method by LianHui Jia, LiJie Jiang, YongLiang Wen, Hongchao Wang

“…However, fault feature extraction will become very difficult in the early weak fault stage of REB due to the interference of strong background noise. …”
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Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target detection by Yong Lu, Minghao Sun

“…Abstract Detecting small targets in UAV remote sensing images is challenging for traditional lightweight methods due to difficulty in feature extraction and high background interference. …”
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Research on small target ship recognition based on feature fusion method and hybrid attention model by Ronghui YAN, Qian GUO, Ming LEI, Yanxiang CAI, Jianfeng YANG

“…ObjectiveThis paper addresses a problem affecting small target ship detection in which network models have a low recognition rate caused by the insignificance of features in small target ships. MethodsA fusion method based on the integration of image and motion features is proposed to enrich the feature representation of small ships in scenarios where the features of small target ship images are not prominent. …”
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A Multi-Index Fusion Adaptive Cavitation Feature Extraction for Hydraulic Turbine Cavitation Detection by Yi Wang, Feng Li, Mengge Lv, Tianzhen Wang, Xiaohang Wang

“…However, extracting cavitation features is challenging due to strong environmental noise interference and the inherent non-linearity and non-stationarity of a cavitation hydroacoustic signal. …”
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