Development of a multi-level feature fusion model for basketball player trajectory tracking by Tao Wang

“…To solve the problems of low matching degree, long tracking time, and low accuracy of multi-target tracking in the process of athlete motion trajectory tracking using deep learning technology, a new athlete motion trajectory tracking model was proposed in this study. …”
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Brain tumor intelligent diagnosis based on Auto-Encoder and U-Net feature extraction. by Yaru Cao, Fengning Liang, Teng Zhao, Jinting Han, Yingchao Wang, Haowen Wu, Kexing Zhang, Huiwen Qiu, Yizhe Ding, Hong Zhu

“…The encoder of the feature extractor based on dense block, is used to enhance feature propagation and reduce the number of parameters. …”
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An adaptive initialization and multitasking based evolutionary algorithm for bi-objective feature selection in classification by Hang Xu, Bing Xue, Mengjie Zhang

“…Abstract Evolutionary algorithms have become a widely-used approach for solving multi-objective optimization problems over the last decades, while feature selection in classification is also a discrete bi-objective optimization problem that aims at simultaneously minimizing the classification error and the number of selected features. …”
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Hybrid feature selection and classification technique for early prediction and severity of diabetes type 2. by Praveen Talari, Bharathiraja N, Gaganpreet Kaur, Hani Alshahrani, Mana Saleh Al Reshan, Adel Sulaiman, Asadullah Shaikh

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An Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure by Zhenglin Li, Zhanjie Zhao, Wujun Gao, Li Jiao

“…To tackle problems such as the destruction of topological structures and the loss of detailed features in the simplification of 3D building models, we propose a 3D building model simplification algorithm that considers detailed features and topological structures. …”
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SPECIFIC FEATURES OF DEVELOPING DIGITAL ECONOMY IN THE NORTH-WEST FEDERAL DISTRICT: CHALLENGES AND PROSPECTS by Elena V. Erohina, Galina Yu. Gagarina

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Clinical features and molecular genetic risk factors for the development of chronic bronchitis in adolescent smokers. by S. I. Ilchenko, A. А. Fialkovska

“…Chronic bronchitis (СB) remains one of the most pressing problems of pediatric pulmonology. This is due to the high prevalence of this disease and the possible transformation into chronic obstructive pulmonary disease (COPD) in adults. …”
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Features of childhood in rear Siberian city during the great Patriotic War (on the example of Omsk) by M. S. Nosova

“…A feature of the Omsk region was the fundamental importance of helping children in agricultural work. …”
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A Bi-LSTM-Based Transformer Fault Diagnosis Method Considering Feature Coupling by Gang LI, Kun MENG, Shuai HE, Yunpeng LIU, Ning YANG

“…To address the above problems, a transformer fault diagnosis method is proposed based on bi-directional long short-term memory (Bi-LSTM) considering feature coupling. …”
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Chain hybrid feature selection algorithm based on improved Grey Wolf Optimization algorithm. by Xiaotong Bai, Yuefeng Zheng, Yang Lu, Yongtao Shi

“…Hybrid feature selection algorithm is a strategy that combines different feature selection methods aiming to overcome the limitations of a single feature selection method and improve the effectiveness and performance of feature selection. …”
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A novel feature extraction method based on dynamic handwriting for Parkinson's disease detection. by Huimin Lu, Guolian Qi, Dalong Wu, Chenglin Lin, Songzhe Ma, Yingqi Shi, Han Xue

“…Therefore, to solve the above problems, a new feature extraction approach for PD detection is proposed using handwriting. …”
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A quantitative benchmark of neural network feature selection methods for detecting nonlinear signals by Antoine Passemiers, Pietro Folco, Daniele Raimondi, Giovanni Birolo, Yves Moreau, Piero Fariselli

“…Abstract Classification and regression problems can be challenging when the relevant input features are diluted in noisy datasets, in particular when the sample size is limited. …”
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Specific Features of Mental Health of Law Enforcement Officers – Participants of the Anti-Terrorist Operation by O. I. Kudermina

“…Mentally healthy law enforcement officers had high stress, depletion of internal resources, the formation of an accentuation of personality and symptoms of emotional burnout with a reduction in professional duties, which can lead to emotional problems (anxiety, affective fluctuations, decreased productivity). …”
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Target Detection Algorithm Based on Global Feature Fusion in Parallel Dual Path Backbone by QIU Yunfei, XIN Hao

“…To solve these problems, a target detection algorithm based on global feature fusion in parallel dual path backbone is proposed. …”
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Features of the pathogenesis and course of myocardial infarction in COVID-19 patients: a descriptive review by M. G. Chashchin, A. Yu. Gorshkov, A. V. Strelkova, O. M. Drapkina

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Research on Feature Extraction Method of Engine Misfire Fault Based on Signal Sparse Decomposition by Canyi Du, Fei Jiang, Kang Ding, Feng Li, Feifei Yu

“…In addition, most of the signals utilized to verify the extraction method are derived from numerical simulation, which are far away from the real engine signals. To address these problems, this paper combines the priority of signal sparse decomposition and engine finite element model to research a novel feature extraction method for engine misfire diagnosis. …”
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Some Features of Bearing Units’ Development Based on Sliding Friction Pairs for Precision Electrospindles by A. S. Kalinichenko, U. L. Basiniu, E. I. Mardasevich

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Machine learning techniques for imbalanced multiclass malware classification through adaptive feature selection by Binayak Panda, Sudhanshu Shekhar Bisoyi, Sidhanta Panigrahy, Prithviraj Mohanty

“…Furthermore, this work proposes a novel adaptive feature selection (AFS) technique using the greedy strategy on term frequency and inverse document frequency (TF-IDF) feature weights to address the selection of influential features and ensure better performance metrics in imbalanced multiclass malware classification problems. …”
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An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection by Flavia Grignaffini, Enrico De Santis, Fabrizio Frezza, Antonello Rizzi

“…In contrast, the Shapley additive explanations method was used to perform a feature importance analysis on the additional handcrafted information. …”
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Small-size spectral features for machine learning in voice signal analysis and classification tasks by D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov

“…Objectives. The problem of developing a method for calculating small-sized spectral features that increases the efficiency of existing machine learning systems for analyzing and classifying voice signals is being solved.Methods. …”
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