DA-ResNeXt50 method for radio frequency fingerprint identification based on time-frequency and bispectral feature fusion by CHEN Mengdi, ZHANG Wei, SHEN Lei, LEI Fuqiang, ZHANG Jiafei

“…To address the problems that a single feature in radio frequency fingerprint recognition could not fully represent the integrity of the signal and that the differences between features of different classes were small, which limited the recognition accuracy, a DA-ResNeXt50 (ResNeXt50 with dense connection and ACBlock) method for radio frequency fingerprint identification based on time-frequency and bi-spectral feature fusion was proposed. …”
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Feature scale and identifiability: how much information do point hydraulic measurements provide about heterogeneous head and conductivity fields? by S. K. Hansen, D. O'Malley, J. P. Hambleton

“…We find that significant feature identification becomes possible as feature scale exceeds 4 times the measurement spacing, and identification reliability subsequently improves in a power-law fashion with increasing feature scale.…”
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A Joint Network of 3D-2D CNN Feature Hierarchy and Pyramidal Residual Model for Hyperspectral Image Classification by Hongwei Wei, Yufan Wang, Yu Sun, Jianfeng Zheng, Xiaodong Yu

“…Since convolutional neural networks (CNN) can extract deeper features from hyperspectral images, they show good classification performance in the hyperspectral image (HSI) classification task. …”
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FW-S3KIFCM: Feature Weighted Safe-Semi-Supervised Kernel-Based Intuitionistic Fuzzy C-Means Clustering Method by Shirin Khezri, Nasser Aghazadeh, Mahdi Hashemzadeh, Amin Golzari Oskouei

“…This issue is frequently related to numerous real-world problems. On the other hand, existing SSC techniques fail to differentiate between the varied attributes within the feature space. …”
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MF-ShipNet: a multi-feature weighted fusion and PCA-SVM model for ship detection in remote sensing images by Jianfeng Li, Yibing Yang, Liutong Yang, Yang Zhao, Qinghua Luo, Chenxu Wang

“…To solve this problem, this paper proposes a multi-feature weighted fusion and PCA-SVM model for ship detection in remote sensing images. …”
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Decoding Lung Cancer Radiogenomics: A Custom Clustering/Classification Methodology to Simultaneously Identify Important Imaging Features and Relevant Genes by Destie Provenzano, John P. Lichtenberger, Sharad Goyal, Yuan James Rao

“…Background: This study evaluated a custom algorithm that sought to perform a radiogenomic analysis on lung cancer genetic and imaging data, specifically by using machine learning to see whether a custom clustering/classification method could simultaneously identify features from imaging data that correspond to genetic markers. …”
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LGM-Net: Wheat Pest and Disease Detection Network Based on Local Global Information Interaction and Multi-Level Feature Fusion by Yimin Qu, Shaobo Yu, Jing Yang

“…Firstly, this paper designs a lightweight feature interactive network (LFI-Net) to fully extract the local and global features of wheat leaf diseases and improve the detection of wheat pest and disease targets under noise interference. …”
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MLGFENet: Multiscale Local–Global Feature Enhancement Network for High-Resolution Remote Sensing Image Change Detection by Huanhuan Lv, Xianqi Yan, Hui Zhang, Cuiping Shi, Ruiqin Wang

“…Next, a cascading feature decoder is employed to perform upsampling on the extracted features. …”
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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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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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The PCOS Phenotypes in Unselected Populations (P-PUP) study: participant clinical features and data harmonization on analysis of individual participant data by Asmamaw Demis Bizuneh, Sylvia Kiconco, Arul Earnest, Mahnaz Bahri Khomami, Raja Ram Dhungana, Ricardo Azziz, Larisa V. Suturina, Xiaomiao Zhao, Alessandra Gambineri, Fahimeh Ramezani Tehrani, Bulent O. Yildiz, Jin Ju Kim, Liangzhi Xu, Christian Chigozie Makwe, Helena J. Teede, Anju E. Joham, Chau Thien Tay

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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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A Procedure for Extending Input Selection Algorithms to Low Quality Data in Modelling Problems with Application to the Automatic Grading of Uploaded Assignments by José Otero, Ana Palacios, Rosario Suárez, Luis Junco, Inés Couso, Luciano Sánchez

“…When selecting relevant inputs in modeling problems with low quality data, the ranking of the most informative inputs is also uncertain. …”
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RESETTLEMENT OF THE KALMYKS IN THE VOLGO-URAL INTERFLUVE IN THE XVII-XVIII CENTURIES: PROBLEMS OF INTERACTION WITH THE NEIGHBORING PEOPLES IN THE CONTEXT OF RUSSIAN FOREIGN POLICY by K. Koltsova, P. Koltsov

“…The authors addresses the problem of the relations between the Kalmyks and the neighboring peoples in the context of Russian foreign policy. …”
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Problems of FSES 3+ implementation at different stages of professional training of future tourism industry workers in the context of competence approach in education by Elena Alexandrovna Yeremina, Tatyana Nicolaevna Poddubnaya, Vladimir Gavrilovich Minchenko

“…This circumstance has formulated the research problem: what are the problems of FSES 3+ implementation at different levels of professional training of future workers in tourism industry in the context of a competence-based approach in education? …”
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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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A critical review of technical case studies for electricity theft detection in smart grids: A new paradigm based transformative approach by Muhammad Sajid Iqbal, Shoaib Munawar, Muhammad Adnan, Ali Raza, Muhammad Ali Akbar, Amine Bermak

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EXPLOITATIVE DESTRUCTION FEATURES FOR DETONATION ULTRADISPERSED DIAMONDS OF INITIAL METALLIC PROTECTION FOR ABRASIVE POWDER GRAINS TO DIAMOND-SPARK GRINDING TOOLS by Yury GUTSALENKO, Cătălin IANCU, Sergey BRATAN

“…The problem of exploitation of diamond grinding wheels with metal coating for their grains including detonation ultra-dispersed diamonds to increase functional reliability to maintain the initial integrity of grains in the pressing and sintering of diamond-metal composites in the tool production is considered. …”
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A Feature Selection Method by using Chaotic Cuckoo Search Optimization Algorithm with Elitist Preservation and Uniform Mutation for Data Classification by Le Wang, Yuelin Gao, Jiahang Li, Xiaofeng Wang

“…Nowadays, the feature selection problem as an optimization problem can be solved with nature-inspired algorithm. …”
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Features of bacterial-mycotic dysbiosis in women with high oncogenic risk human papillomavirus suffering from cervicitis, erosion and cervical dysplasia by Al Kasi Мae Ghazi

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