A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion Representation by Yanan Qin, Tao Huang, Guanzhen Tang

“…Aiming at the problem that traditional human motion pose estimation methods cannot accurately capture and estimate the movement changes of children dancers, a hierarchical dance pose estimation method for children based on sequence multiscale feature fusion representation is proposed. …”
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A Rule Based Feature Selection Approach for Target Classification in Wireless Sensor Networks with Sensitive Data Applications by Zhiyong Hao, Bin Liu

“…This paper proposes a rule based feature selection approach rather than all-features approach that aims at increasing the energy efficiency of the system without losing much classification accuracy. …”
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Yolov4 High-Speed Train Wheelset Tread Defect Detection System Based on Multiscale Feature Fusion by Changfan Zhang, Xinliang Hu, Jing He, Na Hou

“…This study aims to solve this problem by proposing a Yolov4-based multiscale feature fusion detection system for high-speed train wheel tread defects. …”
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About some features and requirements to types of educational work on the discipline «Physical training» in educational organizations of the MIA of Russia by S. V. Kasyanov, A. I. Zemlyanoy, D. A. Petrenko

“…The article is devoted to the problem of increasing the effectiveness of mastering educational material in physical training classes in educational institutions of the Ministry of Internal Affairs of Russia. …”
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A New Feature Extraction Method for Bearing Faults in Impulsive Noise Using Fractional Lower-Order Statistics by Qianqian Xu, Kai Liu

“…According to the performance degradation problem of feature extraction from higher-order statistics in the context of alpha-stable noise, a new feature extraction method is proposed. …”
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Online Degradation Feature Extraction of Shore Bridge Gearbox based on Morphological Fractal and Sliding Window Weibull Fitting by Dejian Sun, Xiong Hu, Bing Wang, Wei Wang, Jichang Lin

“…In order to solve the degenerative feature extraction issue of hoisting mechanism gearbox, an online extraction method for degeneration feature based on mathematical morphological fractal dimension and sliding window Weibull fitting is proposed. …”
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Depth-based human activity recognition via multi-level fused features and fast broad learning system by Huang Yao, Mengting Yang, Tiantian Chen, Yantao Wei, Yu Zhang

“…Human activity recognition using depth videos remains a challenging problem while in some applications the available training samples is limited. …”
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Classification of Prominent Cacao Pod Diseases Using Multi-Feature Visual Analysis and k-Nearest Neighbors Algorithm by Earl Clarence San Diego, Seph Gerald Rodrin, Edwin Arboleda

“…The machine training model was preceded with visual feature extraction of color and texture parameters representing the cacao pod samples. …”
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A Novel Stacking Heterogeneous Ensemble Model with Hybrid Wrapper-Based Feature Selection for Reservoir Productivity Predictions by Changlin Zhou, Lang Zhou, Fei Liu, Weihua Chen, Qian Wang, Keliang Liang, Wenqiu Guo, Liying Zhou

“…Therefore, this study developed a stacking heterogeneous ensemble model with a hybrid wrapper-based feature selection strategy to forecast reservoir productivity, resolve the overfitting problem, and improve productivity prediction. …”
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Investigation of Electroencephalographic Aspects, Adaptive Features, and Clinical Phenotypes in a Group of Children with Autism—A Pilot Study by Alexandru Capisizu, Leon Zăgrean, Elena Poenaru, Elena Tudorache, Mihaela Anca Bulf, Adriana Sorina Capisizu

“…(1) Background: Autism, as an important global problem that affects many phenotypically different individuals, is associated with electroencephalographic (EEG) abnormalities and adaptability impairment. (2) Materials and Methods: In this retrospective study of a group of 101 autistic children, we aimed to evaluate the presence of EEG abnormalities, adaptive features, and clinical phenotypes via EEG, the Adaptive Behavior Assessment System II (ABAS II) scale, and neurological examination. (3) Results: Our results showed statistically significant associations between the level of adaptability obtained through the ABAS II scale and neurological deficit, specifically in terms of coordination impairment. …”
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RaHFF-Net: Recall-Adjustable Hierarchical Feature Fusion Network for Remote Sensing Image Change Detection by Bin Wang, Kang Zhao, Tong Xiao, Pinle Qin, Jianchao Zeng

“…To address aforementioned problem, we propose a high recall multiscale feature fusion model for RS change interpretation. …”
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A Fast Method of Feature Extraction for Lowering Vehicle Pass-By Noise Based on Nonnegative Tucker3 Decomposition by Haijun WANG, Guo CHENG, Guoyong DENG, Xueping LI, Honggeng LI, Yuanyi HUANG

“…In order to cope with this problem, a new method, with the antinoise ability of the algorithm on the condition by which the features are entangled, is developed to extract clear features for the fault analysis. …”
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A Lightweight Multi-Frequency Feature Fusion Network with Efficient Attention for Breast Tumor Classification in Pathology Images by Hailong Chen, Qingqing Song, Guantong Chen

“…This paper proposes a lightweight breast tumor classification model with multi-frequency feature fusion (LMFM) to tackle the problem of inadequate feature extraction and poor classification performance. …”
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Feature Enhancement of TUM-RGBD Depth Images and Performance Evaluation of Gaussian Splatting-Based SplaTAM Method by Ali Furkan Kamanlı, Cemil Zeyveli

“…However, the depth images in the TUM-RGBD dataset are of lower quality than other datasets. This problem negatively affects the depth data's accuracy and reduces the quality of mapping results. …”
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A weighted pattern matching approach for classification of imbalanced data with a fireworks-based algorithm for feature selection by N. K. Sreeja

“…Learning a classifier from imbalanced data is a challenging problem in Machine learning. A dataset is said to be imbalanced when the number of instances belonging to one class is much less than the number of instances belonging to the other class. …”
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18F-FDG PET and combined diffusion weighted MRI features in pleural infection: A case report by KyungAh Chun, MD, PhD

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Bearing fault diagnosis algorithm based on maximum correlated kurtosis feature mode decomposition and compound Gini index by YANG Gang, XU Wuyi, DENG Qin, QIN Limu, WEI Yuqian

“…The maximum correlated kurtosis feature mode decomposition (MCKFMD) method can effectively remove redundant information and enhance fault features, but its effect is affected by the number of decomposition modes, the number of initialized filters and the filter length. …”
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Enhancing convergence speed with feature enforcing physics-informed neural networks using boundary conditions as prior knowledge by Mahyar Jahani-nasab, Mohamad Ali Bijarchi

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Features of iron metabolism in patients with HIV infection and pulmonary dissemination in tuberculosis and pneumonia: An exploratory case-control study by Elena A. Borodulina, Elena V. Yakovleva

“…Background — Differential diagnosis of pneumonia vs. tuberculosis in patients with HIV infection and pulmonary dissemination syndrome is an important problem in contemporary clinical medicine. The goal of our study was to determine the features of iron metabolism in patients with HIV infection and pulmonary dissemination in tuberculosis and pneumonia. …”
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Extraction and Recognition of Color Feature in true Color Images Using Neural Network Based on Colored Histogram Technique by Orjuwan Aljawadi

“…The importance of this research is based on developing the ability of (BPNN) in images ‘objects recognition based on color feature that is very important feature in artificial intelligence and colored image processing fields from developing the systems of alarms robots in fire recognition , medical digenesis of tumors, certain pattern’s recognition in different segments of an image , face and eyes’ iris recognition as a part of security systems , it helps solve the problem of limitation of recognition process in neural networks in many fields.…”
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