XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…The preprocessing pipeline was designed to address the complexities inherent in medical data, including strategic management of missing values and standardizing heterogeneous features. The model demonstrated an overall accuracy of 96.3%, with a sensitivity of 66.7% and a specificity of 97.6%. …”
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Features of cardiac remodeling in sclerodermic lung lesions by A. N. Kharkova, A. V. Sineglazova

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GINGIVAL TISSUE MICROCIRCULATION FEATURES IN PATIENTS WITH INCISOR CROWDING by D. A. Domenyuk, A. G. Karslieva, E. G. Vedeshina, S. V. Dmitrienko, A. S. Kochkonyan, Yu. S. Arutyunyan

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Transformation of nominal features into numeric in supervised multi-class problems based on the weight of evidence parameter by Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Slobodan Kalajdziski

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FEATURES OF HARMONIC LINEARIZATION OF NONLINEAR ELEMENT IN CONTROL SYSTEMS OF AERIAL VEHICLES WITH THE DIGITAL COMPUTER ONBOARD by Vladislav G. Solonikov, Оleksandr V. Voitko, Elena V. Polykova

“…Reviewed features of harmonic linearization of nonlinear element in control systems with the digital computer onboard (DCO) in the circuit of control. …”
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UAV Signal Modulation Recognition Algorithm Based on Joint Features by Yang Zheng, Zhihai Zhuo

“…To address the limitations of existing algorithms that overly rely on single features, resulting in low recognition rates and excessive model complexity, this paper proposes a drone signal modulation recognition algorithm based on joint features. …”
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Classification Based on Brain Storm Optimization With Feature Selection by Yu Xue, Yan Zhao, Adam Slowik

“…Then, the BSO algorithm is employed to implement the evolutionary classification model to search the optimal structure by search for the optimal feature subset. Moreover, the optimal weight parameters corresponding to the different structures are also searched by the BSO algorithm while searching the optimal feature subset. …”
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Feature Selection and Hyper-parameter Tuning Technique using Neural Network for Stock Market Prediction by Karanveer Singh, Rahul Tiwari, Prashant Johri, Ahmed A. Elngar

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Development of Non-Invasive Continuous Blood Pressure Measurement System Based on Multiple Feature Parameters by Mingyue LI, Zhiying YUAN, Ruowei LI, Jieying SHAN, Jilun YE, Xu ZHANG, Hui YU, Xiaoyu WU

“…Multiple feature parameters such as pulse wave transit time based on synchronous ECG and PPG signals were extracted, enabling non-invasive continuous blood pressure measurement. …”
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The Potential of One-Sided Traditional Windcatchers for Outdoor Use as a Sustainable Urban Feature by Hossein Ghandi, Mattia Federico Leone

“…This paper investigates a new integrated design for a one-sided windcatcher, which captures wind through a single inlet by combining traditional principles with modern sustainable features, such as green façade, to enhance outdoor urban space. …”
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Clinical and laboratory features of COVID-19 in young people by A. Kh. Nurpeisova, L. K. Alimova, Zh. B. Ponezheva, I. V. Mannanova, K. N. Popova, A. I. Bikmukhametova, D. N. Protsenko, I. N. Tyurin, A. M. Domkina

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Cocoa bean quality identification using a computer vision-based color and texture feature extraction by Basri Basri, Indrabayu Indrabayu, Andani Achmad, Intan Sari Areni

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Comparative analysis of morphologival parameters in isolated and fused L5 spondylolysis patients on the basis of CT features by Rui Ma, Xiaoxia Huang, Luyao Li, Ye Kai, Jun Liu, Gao Leilei, Xiangning Sun, Yong Teng

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MYOCARDIAL PERFUSION AND NEUROTROPIC SINGLE-PHOTON EMISSION COMPUTED TOMOGRAPHY FEATURES IN PATIENTS WITH PRIMARY PULMONARY HYPERTENSION by A. A. Ansheles, E. G. Kuznetsova, T. V. Martynyuk, V. B. Sergienko

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Parametric Aerodynamic Study of Galloping Piezoelectric Energy Harvester with Arcuate Protruding and Depressed Features by Xiaokang Yang, Bingke Xu, Zhendong Shang, Chunyang Liu, Haichao Cai, Xiangyi Hu

“…The aerodynamic characteristics and electrical performance are numerically analyzed, using a computational fluid dynamics model and a distributed parameter electromechanical coupling model, respectively. …”
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LIPODERMATOSCLEROSIS AS A VARIETY OF LOBULAR PANNICULITIS: CLINICAL FEATURES by O. N. Egorova, B. S. Belov, S. I. Glukhova, S. G. Radenska-Lopovok

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Detecting Lameness in Dairy Cows Based on Gait Feature Mapping and Attention Mechanisms by Xi Kang, Junjie Liang, Qian Li, Gang Liu

“…Early detection enables prompt intervention, enhancing both animal health and farm efficiency. Current computer vision approaches often rely on isolated lameness feature quantification, disregarding critical interdependencies among gait parameters. …”
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Parallel Cross-section Recognition of Geometrical Features for Selected Machine Parts by Marcin Gołaszewski, Marcin Królikowski, Bartosz Powałka

“…Initial identification parameters are selected with respect to defined criteria, e.g. identification accuracy, computing power and scanning accuracy. …”
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Computed tomography-based conventional imaging features and texture analysis characteristics of chemotherapy drug-related acute pancreatitis by Quanlin Li, Chuanmei Liu, Zijian Fan, Hong Zhang, Zhiguo Kai

“…This study aimed to describe plain computed tomography (CT)- and contrast-enhanced computed tomography (CECT)-based conventional imaging features and texture analysis characteristics of CDRAP.MethodsA total of 62 patients with initial clinical and/or biochemical evidence of pancreatitis and 34 patients with normal pancreatic manifestations who underwent CT during chemotherapy were retrospectively included. …”
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Fast Computation of RFD-Like Descriptors in Four Orientations by Anton V. Trusov, Elena E. Limonova, Vladimir V. Arlazarov

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