Extracting product competitiveness through user-generated content: A hybrid probabilistic inference model by Ming-Fang Li, Guo-Xiang Zhang, Lu-Tao Zhao, Tao Song

“…Compared with the traditional model, BMB model has better performance in product feature mining in three aspects of feature diversity, feature long tail and attribute difference. …”
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Intelligent recognition method for personnel intrusion hazardous area in fully mechanized mining face by Qinghua MAO, Jiao ZHAI, Xin HU, Yinan SU, Xusheng XUE

“…To address the problem of dynamic changes of hazardous areas within the field of view caused by the dynamic changes of the camera on fully mechanized mining face following the hydraulic support, an automatic division method of hazardous areas based on the extraction of key feature points of landmark targets such as the guard plate and coal baffle plate is proposed. …”
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An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme by Chengcheng Chen, Xianchang Wang, Helong Yu, Nannan Zhao, Mingjing Wang, Huiling Chen

“…Moreover, the algorithm is favorably utilized in feature selection and three constrained engineering construction problems. …”
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Long-term prediction for VBR video traffic based on wavelet packet decomposition by CHEN Jian1, WEN Ying-you1, ZHAO Da-zhe1, LIU Ji-ren1

“…Long-term prediction is one of the most difficult problems in the area of VBR video traffic prediction.As to the time variation,non-linearity and long range dependence in VBR video traffic trace,a novel method of feature based on multi-scale decomposition was proposed.On the analysis of the time-frequency distribution characteristics of the video trace,the wavelet packets which have the trait of arbitrary distinction and decomposition are selected.After space partition of wavelet packets,the best wavelet packet basis for feature extraction is picked out.Based on the best basis,it can do fast arbitrary multi-scale WPT（wavelet packet transform）,and obtain each higher dimension wavelet coefficients matrix.And then wavelet coefficients prediction is proposed based on LS-SVM and LMS algorithms.The long-term pre-diction of VBR video traffic is obtained through reverse wavelet transforms on the predicted wavelet coefficients.Nu-merical and simulation results are provided to validate the claims.…”
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The Translator's Amanuensis 2020 by Elisa Alonso, Lucas Nunes Vieira

“…We take the hybridisation of traditional and machine translation processes as a starting point to envisage the features of forthcoming translation technologies. Results of previous surveys helped us to select features expected to play a central role: versatile devices to which we broadly refer as displayers would enable ubiquity; a relevant knowledge feature would provide human translators with a well-assorted repertoire of reliable sources; and an effort prediction feature would provide post-editors with reliable estimates of how much work lay ahead. …”
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Research on Visual SLAM Navigation Techniques for Dynamic Environments by Tongjun Wang, Peijun Zhao

“…Aiming at the inconsistency between the direction of dynamic objects and static background optical flow, this method adopts a high-real-time dynamic region mask detection algorithm to eliminate the feature points in the dynamic region mask, remove the camera motion optical flow according to the original feature information, and then cluster the optical flow amplitude of dynamic objects so as to realize the dynamic region mask detection and eliminate the dynamic signpost points combined with the polar geometric constraints. …”
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Image Mosaic Based on Local Guidance and Dark Channel Prior by Chong Zhang, Fang Xu, Dejiang Wang, He Sun

“… Image mosaic is of significance in various areas such as object tracking and drone reconnaissance. Aiming at the problems of poor performance and high rate of false match in foggy images, an improved stitching method based on local guided KAZE and dark channel prior is proposed. …”
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THE EAST IN THE WORKS OF RUSSIAN-FRENCH TRAVELER, PRINCESS LYDIA PASHKOVA: PUSHING THE BOUNDARIES OF ORIENTALIST DISCOURSE by E. Moiseeva

“…The "hybrid" nature of Pashkova's travelogues is stressed, the problems of history, culture, ethnography, economy, geography are highlighted equally. …”
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Locality-Preserving Multiprojection Discriminant Analysis by Jiajun Ma

“…First, the restriction on the total number of features available from LDA has seriously limited its application to problems where the feature dimension is much larger than the number of classes. …”
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A radon transform-based method for line spectrum enhancement of vector hydrophone LOFAR spectrograms under low SNR conditions by Jun Wang, Caixia Song, Zhiguo Qi

“…By exploiting this property, the problem of line spectrum enhancement is transformed into one of linear feature enhancement within the LOFAR spectrogram. …”
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Optimization of particle filter tracking algorithm based on weakly supervised attribute learning by Hui Zhang, Dawang Shen

“…This method combines weakly supervised learning with energy function optimization to raise the efficiency of image feature annotation in object detection models. Besides, to raise the robustness and accuracy of target tracking algorithms in complex environments, an improved particle filter tracking method based on accelerated robust feature matching is proposed. …”
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A domain generalization network for imbalanced machinery fault diagnosis by Yu Guo, Guangshuo Ju, Jundong Zhang

“…By creating domain-invariant features, DEMDGN allows robust fault diagnosis under varying conditions. …”
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A Time Delay Prediction Model of 5G Users Based on the BiLSTM Neural Network Optimized by APSO-SD by Xiaozheng Dang, Di He, Cong Xie

“…To address the problems of 5G network planning and optimization, a 5G user time delay prediction model based on the BiLSTM neural network optimized by APSO-SD is proposed. …”
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Enhancement Ear-based Biometric System Using a Modified AdaBoost Method by Abdulkareem Merhej Radhi, Subhi Aswad Mohammed

“…To overcome the limitation of image illumination, occlusion, and problems of image registration, the Scale-invariant feature transform technique was used to extract features. …”
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A novel temporal classification prototype network for few-shot bearing fault detection by Yanfei Liu, Ziang Du, Hao Zheng, Qian Zhang, Cheng Chen, Nana Wu

“…In our investigation, we utilize the features of the support set as anchors within the feature space and employ similarity measures as the basis for classification, thus developing a more effective comparative learning classifier known as the ContractSim Classifier (CSC). …”
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Federated LeViT-ResUNet for Scalable and Privacy-Preserving Agricultural Monitoring Using Drone and Internet of Things Data by Mohammad Aldossary, Jaber Almutairi, Ibrahim Alzamil

“…Precision agriculture is necessary for dealing with problems like pest outbreaks, a lack of water, and declining crop health. …”
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Interpretable Machine Learning Framework for Corporate Financialization Prediction: A SHAP-Based Analysis of High-Dimensional Data by Yanhe Wang, Wei Wei, Zhuodong Liu, Jiahe Liu, Yinzhen Lv, Xiangyu Li

“…High-dimensional prediction problems with complex non-linear feature interactions present significant algorithmic challenges in machine learning, particularly when dealing with imbalanced datasets and multicollinearity issues. …”
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Endocrinology of Primary Ovarian Insufficiency: Diagnostic and Therapeutic Clues by Jan Tesarik

“…Background: This paper briefly reviews the most important endocrine features of primary ovarian insufficiency (POI) and shows their relevance for the diagnosis and treatment of this condition. …”
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Stability Optimization of Explicit Runge–Kutta Methods with Higher-Order Derivatives by Gerasim V. Krivovichev

“…In numerical experiments, optimal parameter values are used for the construction of high-order schemes for the method of lines for problems with partial differential equations. Problems for linear and nonlinear hyperbolic and parabolic equations are considered. …”
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An overview of Cuckoo Optimization Algorithm based Image Processing by Baydaa sulaiman

“…The CS algorithm has been used in many applications to solve optimization problems. This paper describes an overview of the applications of CS in the scope of image processing to solve optimization problems for the image during the years 2015-2021. …”
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