Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection by Sangita Baruah, Vaskar Deka, Dulumani Das, Utpal Barman, Manob Jyoti Saikia

“…Employing differential evolution, we propose a feature selection approach that enhances the ability to discern peer-to-peer (P2P) botnet traffic amidst evolving cyber threats. …”
Get full text

Features of the organizational concept of airspace management planning in the Russian Federation on the example of the Moscow airspace by V. K. Pechenezhsk, E. K. Chuvikovskaya

Get full text

Improving Image Spam Detection Using a New Image Texture Features Selection by Azam Shekari Shahrak, Seyed javad Mirabedini, Nasser Mikaeilvand, Seyed Hamid Haj Seyed Javadi

“…The purpose of the research is to use image texture features to detect image spam. So far, 22 features of image texture have not been used in one place to detect image spam. …”
Get full text

Research on Fine-Grained Visual Classification Method Based on Dual-Attention Feature Complementation by Min Huang, Ke Li, Xiaoyan Yu, Chen Yang

“…Additionally, there is a lack of rational use of features extracted from intermediate layers. To tackle these problems, we propose a fine-grained visual classification model based on dual attention feature supplementation. …”
Get full text

Modern epidemiological features of viral acute intestinal infections in children and adolescents of Sakhalin region by E. Yu. Sapega, L. V. Butakova, O. E. Trotsenko

“…Objective: to identify modern epidemiological features of viral acute intestinal infections in children and adolescents in the Sakhalin Region.Materials and methods. …”
Get full text

Fast Double-Channel Aggregated Feature Transform for Matching Planetary Remote Sensing Images by Rong Huang, Genyi Wan, Yingying Zhou, Zhen Ye, Huan Xie, Yusheng Xu, Xiaohua Tong

“…In order to cope with the above problems, a new PRSI matching method has been proposed. …”
Get full text

Enhancing Medical Image Classification With Context Modulated Attention and Multi-Scale Feature Fusion by Renhan Zhang, Xuegang Luo, Junrui Lv, Junyang Cao, Yangping Zhu, Juan Wang, Bochuan Zheng

“…This research proposes a multi-stage feature fusion network (MSFF) for medical image classification. …”
Get full text

Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill by Bo Qin, Luyang Zhang, Heng Yin, Yan Qin

“…To solve the above-mentioned problems, a fault extraction method is put forward to extract multiple feature vectors and then a classification model is developed. …”
Get full text

Margin weighted robust discriminant score for feature selection in imbalanced gene expression classification. by Sheema Gul, Dost Muhammad Khan, Saeed Aldahmani, Zardad Khan

“…This study proposes a more robust solution, Margin Weighted Robust Discriminant Score, for feature selection in the context of high dimensional imbalanced problems. …”
Get full text

Features of Surgical Correction of Spontaneous Luxation of the Complex “IOL Posterior Chamber – Capsular Bag” by O. P. Mishchenko, N. A. Senchenko, A. G. Shchuko

Get full text

Bi-temporal Gaussian feature dependency guided change detection in remote sensing images by Yi Xiao, Bin Luo, Jun Liu, Xin Su, Wei Wang

“…To better alleviate these problems, we propose a bi-temporal Gaussian distribution feature-dependent (BGFD) network. …”
Get full text

Application of Generative Adversarial Networks Based on Global and Local Feature Information in Hippocampus Segmentation by WEI Zhihong, KONG Xudong, KONG Yan, YAN Shiju, DING Yang, WEI Xianding, KONG Dong, YANG Bo

“…To address this issue, this study proposes a generative adversarial network (GAN) based on global and local feature information (GLGAN) for hippocampus segmentation. …”
Get full text

Postural disorders of neurological genesis in elderly patients: pathogenesis and features of diagnostics (literature review) by T. G. Makhovskaya, O. A. Shcherbina, S. V. Vasichkin, A. A. Garmanova, A. M. Morozov, Yu. E. Minakova

Get full text

Features of the use of the statistical method of frequency stabilization of generators in distributed information-measuring systems by D. D. Gabrielyan, P. I. Kostenko, O. A. Safarian

“…The article deals with the problems of frequency stabilization of generators in distributed information-measuring systems on the basis of the static frequency stabilization method. …”
Get full text

Clinical current features and treatment tactics of acute external hemorrhoids in outpatient and polyclinic conditions by D. A. Lomonosov, A. L. Lomonosov, S. V. Volkov, A. A. Golubev

“…The study of the current problems for acute external hemorrhoids (AEH) diagnosis and treatment from the point of view of a practicing ambulatory coloproctologist in the Tver region (based on an analysis of the clinical features of the disease, its course and the applied tactics of the coloproctologist) was made.Patients and methods. …”
Get full text

Refined Anchor-Free Model With Feature Enhancement Mechanism for Ship Detection in Infrared Images by Yunlong Gao, Chuan Wu, Ming Ren, Yang Feng

“…In order to handle the above problems, we propose a refined anchor-free model with feature enhancement mechanism for ship detection in infrared images. …”
Get full text

Arctic tern-optimized weighted feature regression system for predicting bridge scour depth by Jui-Sheng Chou, Asmare Molla

“…This paper presents a pioneering artificial intelligence (AI) solution – the Arctic Tern-Optimized Weighted Feature Least Squares Support Vector Regression (ATO-WFLSSVR) system to aid civil engineers in accurately predicting scour depth at bridges. …”
Get full text

Hypertensive crises in primary arterial hypertension - cardiovascular system status and central hemodynamics features by V. A. Lusov, E. M. Evsikov, Yu. M. Mashukova, R. A. Sharipov

“…In more than 50 % of the patients with hypertensive crises, crise development was directly linked to stressors, chronic psychological problems, and central nervous system disturbances, manifested in mioconvulsive syndrome. …”
Get full text

Feature Selection for Hypertension Risk Prediction Using XGBoost on Single Nucleotide Polymorphism Data by Lailil Muflikhah, Tirana Noor Fatyanosa, Nashi Widodo, Rizal Setya Perdana, Solimun, Hana Ratnawati

“…It is a chronic medical issue that, if left unaddressed, can lead to severe health complications, including kidney problems, heart disease, and stroke. This study aims to develop a feature selection model using the XGBoost algorithm to identify specific single nucleotide polymorphisms (SNPs) as biomarkers for detecting hypertension risk. …”
Get full text

Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification by Apeksha Aggarwal, Vibhav Sharma, Anshul Trivedi, Mayank Yadav, Chirag Agrawal, Dilbag Singh, Vipul Mishra, Hassène Gritli

“…In this research, we propose a solution to the problems in which the classification depends on more than one model. …”
Get full text