Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

“…The proposed model preprocesses data by standardization, handling missing values, and encoding categorical features. It leverages GNNs to model spatial dependencies and interactions within IoT networks and utilizes XGBoost to distill complex features for predictive analysis. …”
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Features of the pre-analytical stage in quantitative determination of TREC/KREC in peripheral blood by M. A. Saitgalina, Yu. V. Ostankova, A. V. Sedykh, A. A. Totolian

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Circulating Tumor Cells Count and Morphological Features in Breast, Colorectal and Prostate Cancer. by Sjoerd T Ligthart, Frank A W Coumans, Francois-Clement Bidard, Lieke H J Simkens, Cornelis J A Punt, Marco R de Groot, Gerhardt Attard, Johann S de Bono, Jean-Yves Pierga, Leon W M M Terstappen

“…The number of CTC correlated strongest with survival, whereas CTC size, roundness and apoptosis features reached significance in univariate analysis, but not in multivariate analysis. …”
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Algorithm for Recognition of Small Air Targets by Trajectory Features in Passive Bistatic Radar by Dao Van Luc, A. A. Konovalov, Le Minh Hoang

“…The results of a comparative analysis of decision-making methods for recognizing small UAVs and birds based on their trajectory features are presented. …”
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Graph-Based Radiomics Feature Extraction From 2D Retina Images by Ofelio Jorreia, Nuno Goncalves, Rui Cortesao

“…Medical image analysis offers valuable visual support for clinical decision-making, yet the incorporation of quantitative data is essential for deeper diagnostic insight. …”
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Features of circulating in the blood desquamated endotheliocytes at the patients with hypertonic disease accompanied by alcoholism by Anatoliy Gozhenko, Hanna Pavlega, Nataliya Badiuk, Walery Zukow

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Cell-phone origin identification based on spectral features of device self-noise by Anshan PEI, Rangding WANG, Diqun YAN

“…With the widespread availability of cell-phone recording devices and the availability of various powerful and easy-to-use digital media editing software,source cell-phone identification has become a hot topic in multimedia forensics.A novel cell-phone identification method was proposed based on the recorded speech.Firstly,device self-noise (DSN) was considered as the fingerprint of the cell-phone and estimated from the silent segments of the speech.Then,the mean of the noise's spectrum was extracted as the identification.Principal components analysis (PCA) was applied to reduce the feature dimension.Support vector machine (SVM) was adopted as the classifier to determine the source of the detecting speech.Twenty-four popular models of the cell-phones were evaluated in the experiment.The experimental results show that the average identification accuracy and recall of the method can reach up to 99.24% and demonstrate that the self-noise feature has more superior performance than the MFCC feature.…”
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Specific Features of the Spread of New Coronavirus Infection (COVID 19) in Orenburg Region by A. S. Pankov, A. G. Korneev, S. Yu. Nosyreva

“…It is necessary to study COVID-19 distribution features among the population of the central Orenburg region administrative districts in June–December 2020.Materials & Methods. …”
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Gender features of the influence of depressive and dissominal symptoms on the quality of life of patients with psoriasis by N. S. Olshevskaya, N. A. Olshevsky, D. V. Prohorov, V. N. Klinkov, H. N. Primysheva, D. A. Sarachan, A. M. Kulichenko, S. G. Chinov

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The biochemical and morphostructural features of biological fluids in patients with rapidly growing uterine myoma by E. G. Shvarev, L. V. Dikareva, A. K. Ayupova, G. E. Shvarev

“…A new procedure has been developed and tested to diagnose rapidly growing UM, including the latter concurrent with endometrial hyperplastic processes, which is based on the comparison of the levels of lipid peroxidation products in the biomolecules in the study biological fluids (endometrial lavages) and on the analysis of their morphostructural features. A mathematical model to calculate uterine volume has been proposed to objectify the estimation of tumor growth rates. …”
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Fire and Smoke Detection Based on Improved YOLOV11 by Zhipeng Xue, Lingyun Kong, Haiyang Wu, Jiale Chen

“…Traditional object detection methods rely more on manually designed features and rules. …”
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Adaptive Anomaly Detection Framework Model Objects in Cyberspace by Hasan Alkahtani, Theyazn H. H. Aldhyani, Mohammed Al-Yaari

“…The information gain method was applied to select the relevant features from the network dataset. These network features were significant to improve the classification algorithm. …”
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Age clinical and laboratory features of primary Epstein-Barr viral infection in children by O. V. Konakova, O. V. Usachova, Ye. A. Silina, T. M. Pakholchuk, O. A. Dralova

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Features of blood pressure variability and arterial stiffness in hypertensive men with androgen deficiency by V. A. Vizir, A. S. Sadomov, O. V. Nasonenko

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Evaluation of Incidence and Clinical Features of Antibody-Associated Autoimmune Encephalitis Mimicking Dementia by Arzu Çoban, Cem İsmail Küçükali, Başar Bilgiç, Nazlı Yalçınkaya, Hazal Haytural, Canan Ulusoy, Selin Turan, Sibel Çakır, Alp Üçok, Hüseyin Ünübol, Hasmet A. Hanagasi, Hakan Gürvit, Erdem Tüzün

“…Objective. Our aim was to detect the incidence and clinical features of autoimmune encephalitis imitating clinical findings of primary dementia disorders and to delineate the validity of anti-neuronal antibody screening in dementia patients. …”
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Features of the course and effectiveness of treatment of tuberculosis in pregnant women with different HIV status by A. V. Nesterenko, V. N. Zimina

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A Corner Detection Method for Noisy Checkerboard Images by Hui Liu, Ligen Shan, Jiahao Feng, Shuanghao Wang

“…This article proposes a novel approach for corner detection in noisy checkerboard images, comprising several methodical steps: (1) an initial extraction of corners utilizing the cross features present in the edge image of the checkerboard; (2) the elimination of erroneous corners through an analysis of the periodic consistency among the detected corners; (3) the identification of the outermost corners and the subsequent generation of a rectangular bounding box based on the total number of input checkerboard corners; (4) the reconstruction of missing corners, which may have been obscured by noise, by leveraging the periodic characteristics of the corners. …”
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Sex-Related Features of Haemodynamic Response to Cold Exposure of the Hand in Young People by Andrey B. Gudkov, Elena V. Korobitsyna, O’lga N. Popova, Aleksandr N. Nikanov, Sergey V. Kolmogorov, Sergey P. Ermolin

“…At the same time, an increase in the body’s functional reserves was detected. The analysis of haemodynamic parameters showed differences in the response of the circulatory system between the examined groups of young men and women. …”
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Back pain: from pathophysiological mechanisms and clinical features to modern approaches to therapy by N. V. Titova, Yu. N. Bezdolny, A. A. Slipko

“…Determination of the pain profile and accurate analysis of markers determining the leading pathogenetic component allows personalizing back pain therapy. …”
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A Comparison of Computational Approaches for Intron Retention Detection by Jiantao Zheng, Cuixiang Lin, Zhenpeng Wu, Hong-Dong Li

“…Then, we compare the IR detection results with real RNA-Seq data. We also describe the use of differential analysis methods to identify disease-associated IRs and compare differential IRs along with their Gene Ontology enrichment, which is illustrated on an Alzheimer’s disease RNA-Seq dataset. …”
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