A Fast Recognition Method for Space Targets in ISAR Images Based on Local and Global Structural Fusion Features with Lower Dimensions by Hong Yang, Yasheng Zhang, Wenzhe Ding

“…The proposed method provides a fast and effective high-precision model for space target feature extraction, which can give some references for solving the problem of space object efficient identification under the condition of small sample data.…”
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Сlinical features of changes in the microcirculation system among children with allergic rhinitis, depending on the severity of dysfunction of the autonomic nervous system by N. S. Tataurschikova, P. V. Berezhansky

“…Allergic rhinitis is a serious medical, social and economic problem. In addition, allergic rhinitis, especially with multiple sensitization and insufficiently controlled course, is an independent risk factor for recurrence of respiratory infections and the development of bronchial asthma, and also significantly reduces the quality of life patients.AR is a multifactorial disease in the development of which many factors play a role. …”
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Analysis of cognition structure of student’s having emotional, behavioral and learning difficulties: aspect of international experience by Liuda Radzevičienė, Lina Miliūnienė, Aistė Batūraitė, Evert-Jan Hoogerwerf, Adam Charvatis, Michael Bader, Thomas Oliv, Petya Grudeva

“… Article present international research on cognition, situation analysis of pupil who has emotional, behavioral and learning difficulties, that leads to early school drops. The main features of pupils who are not motivated in school attendance are problems in family environment and behavioral manifestations that lead to social conflicts. …”
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Mathematical modeling of the process of nonlinear deformation of thin-walled structures by G. M. Murtazaliev, M. M. Paizulaev

“…The objective is to develop a unified method for solving a general nonlinear boundary value problem associated with discontinuous phenomena, which allows identifying all the characteristic features of the behavior of thin-walled systems under load. …”
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An exploration-enhanced hybrid algorithm based on regularity evolution for multi-objective multi-UAV 3-D path planning by Zhenzu Bai, Haiyin Zhou, Juhui Wei, Xuanying Zhou, Yida Ning, Jiongqi Wang

“…To solve this problem, this study proposes the dual-population regularity evolution algorithm (DPREA), which incorporates an auto-switching regularity evolutionary reproduction operator known as autoRE. …”
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Analytical Methods for Atmospheric Carbonyl Compounds: A Review by Xiaoshuai Gao, Xin Zhang, Yan Nie, Jiemeng Bao, Junling Li, Rui Gao, Yunfeng Li, Wei Wei, Xiaoyu Yan, Yongxin Yan, Hong Li

“…Based on extensive literature research, this study summarized the development history, relevant features, and applicable scenarios of the main analytical techniques for atmospheric carbonyl compounds; pointed out the main problems and challenges in this field; and discussed the needs and prospects of future research and application. …”
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TYPOLOGY OF ROMANIAN CRIMINAL TRIAL. REALITIES AND TRENDS by ANDREI ZARAFIU

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Isolated Handwritten Pashto Character Recognition Using a K-NN Classification Tool based on Zoning and HOG Feature Extraction Techniques by Juanjuan Huang, Ihtisham Ul Haq, Chaolan Dai, Sulaiman Khan, Shah Nazir, Muhammad Imtiaz

“…This database consists of 11352 character images (258 samples for each 44 characters in a Pashto script). Enriched feature extraction techniques of histogram of oriented gradients and zoning-based density features are used for feature extraction of carved Pashto characters. …”
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Integrating VGG Re-trained Feature Extraction with Machine Learning for Knee Osteoarthritis Severity Levels Detection Using X-ray Images by Simeon Yuda Prasetyo, Ghinaa Zain Nabiilah

“…The Knee Osteoarthritis Dataset with Severity Grading is preprocessed, and features are extracted using fine-tuned VGG16 and VGG19 models. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…However, current approaches treat modalities equally, not maximizing text’s advantages. To solve these problems, we propose a novel method named a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning (TMFN). …”
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OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts by Haoyu Wang, Lijun Yun, Chenggui Yang, Mingjie Wu, Yansong Wang, Zaiqing Chen

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MELTING CONDITIONS OF GRANITOID XENOLITHS IN CONTACT WITH ALKALINE MAFIC MAGMA (GUSINOOZERSKAYA DYKE, WESTERN TRANSBAIKALIA): TO THE PROBLEM OF THE ORIGIN OF ULTRAPOTASSIC ACID MEL... by V. B. Khubanov, T. T. Vrublevskaya, A. A. Tsygankov, A. G. Vladimirov, M. D. Buyantuev, E. N. Sokolova, V. F. Posokhov, E. A. Khromova

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Review of information hiding on Chinese text by Guohua WU, Lichun GONG, Lifeng YUAN, Ye YAO

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Review of information hiding on Chinese text by Guohua WU, Lichun GONG, Lifeng YUAN, Ye YAO

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Intra-pulse modulation recognition of radar signal based on random forest by Ge LIU, Guoyi ZHANG, Yan YU

“…To solve the existing problems of low recognition rate and noise problem in radar signal recognition,the fusion feature extraction method of time-frequency image and the random forest classifier is applied to the identification of radar signals.The radar signal time-frequency image was firstly extracted the shape features and texture features to anstitute fusion characteristics,into and then input fusioncharacteristics radom forest classifier recognition of the signal classification was realized.The results of simulation experiments for eight kinds of common radar signals to recognition show that recognition accuracy of the method proposed can be achieved more than 90% in SNR -2 dB,so it also verify the effectiveness of the method.…”
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Сytomegalovirus Infection in Children by S. S. Kochkina, E. P. Sitnikova

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Neurocysticercosos in South-Central America and the Indian Subcontinent: a comparative evaluation by Gagandeep Singh

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Identity of the Courtyard in Traditional and Contemporary Erbil City Houses by Rawaz Abdullah, Aisha Saied, Dlman Azeez

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Encrypted traffic classification method based on parallel traffic graph and graph neural network by LIU Taotao, FU Yu, YU Yihan, AN Yishuai

“…Aiming at the problems of traditional encrypted traffic classification methods limited by the imbalance of dataset classes and the unreliability of the features used in complex network environments, an encrypted traffic classification method based on parallel traffic graph and graph neural network was proposed. …”
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«Security» in industrial frying processes by S. R. Kochhar

“… It is well known that equipment design features can have a profound effect on the working life of a frying oil, and consequently on secure/safe operation of the industrial deep-frying at high temperatures. …”
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