Design features of the rotary endodontic instruments system ProFile

“…SEM examination of all instruments and their cross-sections was made to determine the following design parameters: tip angle, fluting angle, pitch length, fluting depth, internal and external diameters and the angles of cutting blade. Design features analysis of the ProFile instruments allows pointing out its outstanding characteristics: 1) high flexibility; 2) high cyclic fatigue resistance; 3) the ability to preserve the original root canal anatomy; 4) low cutting ability; 5) substantial screwing-in effect of the instruments of greater sizes.…”
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Underwater Object Detection Method with Enhanced Wavelet Transform Features by Nan WEI, Wankou YANG, Weijie ZHOU, Longyu JIANG

“…These frequency domain feature components were then interactively enhanced using a frequency domain interaction module based on the attention mechanism designed in this work, optimizing the ability of feature expression. …”
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Motives and features of cross-platform self-presentation of Russian students by M. I. Krishtal, A. V. Shchekoturov

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Dynamic activation and enhanced image contour features for object detection by Jun Wu, Jiahui Zhu, Xin Tong, Tianliang Zhu, Tianyi Li, Chunzhi Wang

“…This paper proposes a lightweight and efficient object detection model based on YOLOv4, first using the lightweight network GhostNet to extract image features and reduce the number of parameters and computation of the backbone structure; then combining AFmodule and Meta-ACON activation function to enhance the feature extraction capability of the backbone network, which strengthen the mode’s ability to capture image spatial feature information; this paper also designs the RL-PAFPN feature fusion structure is with the Reslayer module to further improve the model’s ability to extract and fuse image features. …”
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Deep Contextual Structure and Semantic Feature Enhancement Stereo Network by Guowei An, Yaonan Wang, Kai Zeng, Qing Zhu, Xiaofang Yuan, Yang Mo

“…To reduce the matching ambiguity in large textureless regions, the semantic feature enhancing module is proposed to enhance the aggregation ability for semantic features of the cost aggregation network. …”
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The structural features and immunological role of biomphalysins in the snail Biomphalaria glabrata. by Pierre Poteaux, Aline Parpinel, Chantal Ripoll, Amélie Sarrazin, Richard Galinier, Sabine Brugière, Yohann Couté, Lionel Mourey, Patrick C Hanington, Benjamin Gourbal, Laurent Maveyraud, David Duval

“…Transcriptional activity of the biomphalysin genes was explored, after which the plasmatic presence of the biomphalysin proteins was investigated in naive and S. mansoni-infected snails. The ability of native biomphalysin 1 (and 2) to bind several cell types was also investigated and correlated with the lytic ability of plasma toward the exposed cells, highlighting the central role occupied by biomphalysin 1 (and 2) in the humoral immunity of B. glabrata.…”
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NEW FEATURES OF EXPERIMENTAL MACHINE HYDRAULIC DRIVE FINE TUNING by M. I. Zhylevich, A. V. Korolkevich, V. S. Shevchenko

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Biological features and medical significance of the <i>Listeria</i> bacteria by I. A. Derevyanchenko, Lyudmila A. Kraeva

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FEATURES IN SPORTSMEN MOTION PERCEPTION DEPENDING ON THE DIRECTION TRAINING PROCESS by M. B. Gurova, L. V. Kapilevich

“…In weightlifting identified the following features: the predominance of somatosensory perception, reference system for coordination is his body, the prevalence of central vision, attention. …”
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The Development of Building Materials Recommendation System Based on Feature Crosses by Hui-Ping Tserng, Chung-Cho Chang, Shu-Hsien Tai

“…This study proposes an innovative recommendation system that uses feature engineering to optimize material selection. …”
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The maximum residual block Kaczmarz algorithm based on feature selection by Ran-Ran Li, Hao Liu

“…Lasso is a regression analysis method for feature selection, which is simple and has excellent processing ability for high-dimensional data. …”
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TECHNOLOGICAL FEATURES OF CREATING IT PRODUCTS WITHIN THE FRAMEWORK OF IMPLEMENTING IT PROJECTS by V. S. Nikolaenko

“…The article examines the characteristics of ECM programs, such as incrementalism and high technology, as well as the technological features IT project management that create similar characteristics. …”
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Visible feature engineering to detect fraud in black and red peppers by Mohammad Hossein Nargesi, Kamran Kheiralipour

“…Sample preparation, image acquisition and preprocessing, and feature engineering (feature extraction, selection, and classification) were the conducted steps in the present research. …”
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Dance Movement Recognition Based on Feature Expression and Attribute Mining by Xianfeng Zhai

“…Then, in order to enhance the expression ability of attribute features, a multibranch spatial channel attention integration module (MBSC) based on an attention mechanism is designed to extract the features of each attribute. …”
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Scene categorization by Hessian-regularized active perceptual feature selection by Junwu Zhou, Fuji Ren

“…This mechanism ensures that irrelevant or misleading deep GSP features are intelligently discarded. Afterward, a novel Hessian-regularized Feature Selector (HFS) is proposed to select high-quality features from the deep GSP features, wherein (i) the spatial composition of scenic patches can be optimally maintained, and (ii) a linear SVM is learned simultaneously. …”
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Improved Hierarchical Convolutional Features for Robust Visual Object Tracking by Jinping Sun

“…The correlation filter algorithm based on manual features is difficult to meet the actual needs due to its limited feature representation ability. …”
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Feature-adaptive anomaly detection model for onion inspection system by Ziwei Song, Prawit Buayai, Koji Makino, Xiaoyang Mao

“…This approach enhances the model’s ability to focus on common features of normal onions while disregarding irrelevant variations, improving the discrimination of defective onions. …”
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A Multi-Scale Feature Attention Image Recognition Algorithm by Xin MingYuan, Ang Ling Weay, Sellappan Palaniappan

“…A proposed solution is a small-sample image classification system that leverages attention mechanisms and meta-learning to capture more comprehensive image information. Due to its ability to efficiently suppress irrelevant characteristics and accentuate pertinent ones, this technique may extract more robust multiscale features and enhance classification performance through meta-learning.In this paper, the effectiveness of the multi-scale attention network is verified on two datasets, namely, Mini-ImageNet and Tiered-ImageNet, and the accuracy of the method is 58.54% for 5-way 1shot and 74.76% for 5-way 5shot on the Mini-ImageNet dataset. …”
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Virtual Reality Video Image Classification Based on Texture Features by Guofang Qin, Guoliang Qin

“…Finally, based on DenseNet, an improved shallow layer dense convolutional neural network (L-DenseNet) is proposed, which can compress network parameters and improve the feature extraction ability of the network. The experimental results show that compared with the current classification method, this method can effectively suppress the influence of coherent speckle noise and obtain better classification results.…”
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DDA-MSLD: A Multi-Feature Speech Lie Detection Algorithm Based on a Dual-Stream Deep Architecture by Pengfei Guo, Shucheng Huang, Mingxing Li

“…It can perform in-depth sequence pattern analysis on manually extracted static prosodic features and nonlinear dynamic features, obtaining high-order dynamic features related to lies. …”
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