Correlations between Intellectual Abilities and Features of the Motivational-Emotional Sphere in College-Age Boys and Girls by I.Yu. Churikov, E.S. Kagan, I.S. Morozova

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Automatic Registration of Remote Sensing High-Resolution Hyperspectral Images Based on Global and Local Features by Xiaorong Zhang, Siyuan Li, Zhongyang Xing, Binliang Hu, Xi Zheng

“…In order to solve this problem, a new automatic registration strategy for remote sensing hyperspectral images based on the combination of whole and local features of the image was established, and two granularity registrations were carried out, namely coarse-grained matching and fine-grained matching. …”
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Gender features of heart failure with preserved ejection fraction in patients with myocardial infarction on the background of hypertension by V. D. Syvolap, O. V. Nazarenko, Ya. V. Zemlyaniy

“…Actuality of chronic heart failure problem remains due to its increasing prevalence in all developed countries, includingUkraine. …”
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A Self-Supervised Monocular Depth Estimation Framework Based on Detail Recovery and Feature Fusion by Shun Li, Chongzheng Huang, Xiangzhe Li, Zhengyou Liang

“…MDAFM captures feature information from different perspectives and levels to address the problem of critical information loss, while HPCB effectively captures and fuses local and global information through parallel processing. …”
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Employing combined spatial and frequency domain image features for machine learning-based malware detection by Abul Bashar

“…To combat this, numerous efforts have explored automated botnet detection mechanisms, with anomaly-based approaches leveraging machine learning (ML) gaining attraction due to their signature-agnostic nature. However, the problem lies in devising accurate ML models which capture the ever evolving landscape of malwares by effectively leveraging all the possible features from Android application packages (APKs).This paper delved into this domain by proposing, implementing, and evaluating an image-based Android malware detection (AMD) framework that harnessed the power of feature hybridization. …”
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An improved dung beetle optimizer based on Padé approximation strategy for global optimization and feature selection by Tianbao Liu, Lingling Yang, Yue Li, Xiwen Qin

“…In this paper, we proposed a multi-strategy enhanced dung beetle optimization algorithm (mDBO) that integrates multiple strategies to effectively address the feature selection problem. First, a novel population initialization strategy based on a hybrid tent-sine map and random opposition-based learning was proposed to generate initial population. …”
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Study of Feline Lower Urinary Tract Disease in Blida, North of Algeria: Clinical and Epidemiologic Features by Dahmani Asma, Zenia Safia

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A fish counting model based on pyramid vision transformer with multi-scale feature enhancement by Jiaming Xin, Yiying Wang, Dashe Li, Zhongliang Xiang

“…This feature effectively addresses the problem of fish occlusion for improving the accuracy and reliability of the counting process. …”
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Features of Structural and Functional Changes in the Heart in Elderly Patients with Coronary Heart Disease and Atrial Fibrillation by L. I. Folomeeva, E. V. Filippov

“…Supraventricular arrhythmias, including atrial fibrillation (AF), are a current problem for patients in the older age group due to the possibility of lifethreatening complications. …”
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A robust and accurate feature matching method for multi-modal geographic images spatial registration by Kai Ren, Weiwei Sun, Xiangchao Meng, Gang Yang, Jiangtao Peng, Binjie Chen, Jiancheng Li

“…For example, multi-temporal visible, visible-synthetic aperture radar, visible-near infrared, near infrared-short wave infrared, visible-MAP, etc. To address this problem, we propose a Robust and Accurate Feature Matching Method for Multi-modal Geographic Images Spatial Registration (RAMMR) to fully extract common key points between images, weaken the radiation difference between data, and finally accurately match more inliers to realize multi-modal image registration. …”
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Ensemble Network Graph-Based Classification for Botnet Detection Using Adaptive Weighting and Feature Extraction by Muhammad Aidiel Rachman Putra, Tohari Ahmad, Dandy Pramana Hostiadi, Royyana Muslim Ijtihadie

“…This research addresses these challenges by analyzing network flow using adaptive weighting and feature extraction. Network flows are represented in a graph with IP addresses as vertices and communication links between IP addresses as edges. …”
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Features of dissomnia and cognitive impairments in chronic cerebral ischemia due to diabetes mellitus type 2 by Yu. I. Kotsenko

“…Currently, diabetes mellitus occupies a leading position in terms of prevalence, disability, mortality and it is a medical and social problem. Microvascular and macrovascular diabetic complications negatively affect the quality and duration of sleep with detrimental effects on metabolism and weight regulation. …”
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Aerial Biological Target Classification Based on Time–Frequency Multi-Scale Feature Fusion Network by Lianjun Wang, Rui Wang, Weidong Li, Jiangtao Wang, Yujia Yan, Cheng Hu

“…However, accurately identifying insects and birds based on radar observations has remained an unsolved problem. To address this research gap, this paper proposed an intelligent classification method based on a novel multi-scale time–frequency deep feature fusion network (MSTFF-Net). …”
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Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning by Jungpil Shin, Abu Saleh Musa Miah, Koki Hirooka, Md. Al Mehedi Hasan, Md. Maniruzzaman

“…Consequently, these systems face challenges in achieving good performance accuracy, robustness, and sensitivity. To overcome this problem, we proposed an optimized PD detection methodology that incorporates newly developed dynamic kinematic features and machine learning (ML)—based techniques to capture movement dynamics during handwriting tasks. …”
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MACROSCOPICS AND MICROSCOPICS FEATURE OF WITAR RATS LIVER AFTER IMMERSION IN GRADUAL CONCENTRATION OF RANDU HONEY by Putri Ariani Kusuma, Tuntas Dhanardhono, Saebani Saebani, Ratna Damma Purnawati, Hermawan Istiadi

“…The best features showed in samples preserved in 30% Randu Honey solutions.…”
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VOKATIVE AS AN ELEMENT OF UKRAINIAN SPEECH ETIQUETTE (SPECIAL FEATURES AND TRENDS IN THE FRAMEWORK OF THE NEWEST COMMUNICATIVE DISCOURSE) by Olena M. Turchak

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Synovial cesys in children: clinical features, diagnostics, treatment (analytical review of the literature and own observation) by V.S. Konoplitskyi, Yu. Ye. Korobko, B.L. Pavlenko, H.M. Rudenko, O.A. Korobko, S.V. Klymenko

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Pathogenetic Mechanisms of the Occurrence of Rheumatoid Arthritis and Ankylosing Spondylitis with the Activation-Enzymatic and Phenotypic Features of Lymphocytes by Lychkovska N., Chopyak V., Vorobets Z.

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THE RICHNESS OF UKRAINIAN LANGUAGE IN A LIVE TELEVISION BROADCAST by Iryna Ya. Zalipska

“…The problems of developing a linguistic identifiers’ system of each language characteristic, the quality of realization of a set communicative features in different spheres of communication require linguistic comprehension. …”
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Research on multi dimensional feature extraction and recognition of industrial and mining solid waste images based on mask R-CNN and graph convolutional networks by Shuqin Wang, Na Cheng, Yan Hu

“…Abstract Aiming at the problems of traditional methods for multi-dimensional feature extraction of industrial and mining solid waste images, such as single feature extraction, difficult fusion, missing high-order features, weak generalization ability and low computational efficiency, an innovative solution combining Mask R-CNN with Graph Convolutional Networks (GCN) was proposed to achieve automatic, multi-dimensional and efficient feature extraction. …”
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