THE SELECTION OF THE INITIAL MATERIAL FOR VARIOUS DIRECTIONS OF MAIZE BREEDING ON THE BASIS OF MULTI-CRITERIA ESTIMATION by G. Ya. Krivosheev, A. S. Ignatiev, A. G. Gorbacheva, I. A. Vetoshkina

“…Average variability was identified in grain productivity (V = 14.8–18.2%), drought resistance index (V = 10.5%), harvesting moisture of grain (V = 18.6%). The use of the complex of main economically valuable traits for the integrated assessment (SD), taking into account the specified contributions (Rk) and weight coefficients (Wi), made it possible to rank the initial material according to its value for various areas of selection. …”
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Iterative Assessment of Edge Criticality: Efficiency Enhancement or Hidden Insufficiency Detection by Vasily Lubashevskiy, Hamza Ejjbiri, Ihor Lubashevsky

“…The assessment of edge criticality ranking in complex networks is a challenging issue in network science and has numerous applications, including network decomposition and, conversely, enhancing the resilience and redundancy of complex systems. …”
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Review on selective catalytic reduction technology of diesel engines by CHEN Zhengguo, LIU Haoye*, YANG Xiaodong, WANG Tianyou

“…The optimization of SCR system injection control strategy is a key factor in ensuring high NO_x conversion efficiency and avoiding NH_3 leakage. The development of SCR control strategy should consider the uncertainty of hardware measurements, and the increasing complexity of the post-treatment system configuration brings new challenges to the development of SCR system control strategies. …”
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Efficient Video Compression Using Afterimage Representation by Minseong Jeon, Kyungjoo Cheoi

“…The proposed approach utilizes optical flow to adaptively select the number of keyframes based on scene complexity, optimizing compression efficiency. …”
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EVALUATING METHODS’ APPLICATION OF COMPLEX SYSTEMS’ EFFECTIVENESS IN THE AUTOMOBILE PASSENGER TRANSPORT THEORY by S. M. Mochalin, M. E. Kasper

“…The main approaches to the task assessing effectiveness of the complex systems’ functioning are singled out, and their shortcomings, and the possibility of their application for the evaluation of performance in the theory of passenger motor transport are determined. …”
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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…This framework is interpretable and helps medical practitioners learn complex patterns in patients. <b>Method:</b> This study addresses these issues by employing boosting algorithms, for enhanced classification accuracy. …”
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PrivBCS: a privacy-preserving and efficient crowdsourcing system with fine-grained worker selection based on blockchain by Juan Chen, Wei Liang, Lijun Xiao, Ce Yang, Ronglin Zhang, Zhenwen Gui, Aneta Poniszewska-Marańda

“…Crowdsourcing takes advantage of human intelligence to solve complex problems that computers cannot handle. People actively participate in computational tasks for rewards, especially those that are relatively simple for humans but challenging for computers. …”
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An efficient method for the selective isolation of feline herpesvirus 1(FHV-1) in feline calicivirus (FCV) coinfected specimens by Huanqin Zheng, Hong Yue, Baoyan Wang, Xin Yu, Yang Liu, Jiayu Yu, Jianlong Zhang, Kexue Han, Yinuo Han, Hanfeng Su, Hongwei Zhu, Xingxiao Zhang

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Technical progress of construction and safe operation of underground gas storage under complex geological conditions by Qiqi WANYAN, Yun WANG, Dongxu LI, Hongcheng XU, Chun LI, Kang LI, Jingcui LI, Lifeng LI

“…In view of the characteristics of the developed gas reservoir fault system, largely buried depth, strong heterogeneity and complex gas-water distribution, breakthroughs were made in the construction and operation of gas reservoir and salt cavern type gas storages in China through over 20 years of hard working in research, and five technology series were formed, including (1) storage site selection and evaluation technology, (2) storage capacity design and evaluation technology, (3) efficient wellbore quality control technology, (4) large displacement injection-production design technology, and (5) risk identification and monitoring technology. …”
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PROBLEMS OF IDENTIFICATION AND FUNCTIONING OF FEDERAL AND REGIONAL DEVELOPMENT INSTITUTIONS IN THE SPHERE OF THE AGROINDUSTRIAL COMPLEX by I. Rykova, S. Shkodinsky, R. Gubanov

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A Comprehensive System to Support Decision Making in Highly Complex Project Portfolio Situations by Efrain Solares, Eduardo Fernandez, Carlos A. Coello Coello, Xochitl Segura Lozano, Reimundo Moreno-Cepeda, Raymundo Diaz

“…The results point to significant improvements in the efficiency and effectiveness of decision-making, especially in complex project environments. …”
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Decision-making algorithm with complex hesitant fuzzy partitioned maclaurin symmetric mean aggregation operators and SWARA method by Jawad Ali, Muhammad I. Syam, Ahmad N. Al-Kenani

“…Abstract Complex hesitant fuzzy sets (CHFSs) have emerged as a powerful tool for addressing uncertainty, especially in representing two-dimensional information through multiple possible values. …”
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Multi-mode selective OFDM index modulation transmission scheme by GUO Yi, ZHU Yuchen, WANG Yiqing, LIU Gang, FU Shaozhong

“…In addition, the spectral efficiency of the system was improved by introducing full subcarrier activation patterns into the index information of multi-mode selective index modulation. …”
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Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens by Lizhi Tan, Xinyu Cai, Yuan Kong, Zexuan Liu, Zilong Wen, Lina Bu, Yuzhan Wang, Xiaojun Liu, Zhiwu Zhang, Jianlin Han, Dandan Wang, Yiqiang Zhao

“…By combining the signals of Singleton Density Score (SDS), which is a population-genetic statistic designed to detect recent selection by leveraging the distribution of singletons, and association analyses, multiple egg-laying traits related to egg production efficiency were found to have experienced polygenic selection. …”
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Mathematical model of evaluation of rehabilitation efficiency increase with the help of personalized rehabilitation selection technology with the help of adapted virtual environmen... by A. V. Zakharov, S. S. Chaplygin, A. V. Kolsanov

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Efficient Distributed Denial of Service Attack Detection in Internet of Vehicles Using Gini Index Feature Selection and Federated Learning by Muhammad Dilshad, Madiha Haider Syed, Semeen Rehman

“…Detection methods currently face challenges due to the complex and enormous amounts of data inherent in IoV systems. …”
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Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data by Xiao Liu, Xianmei Fang, Song Sun, Yangchun Gao, Dan Yang, Meng Yan

“…Maximal information coefficient analysis is then applied to rank features within each cluster and select the most relevant ones, forming an optimized feature subset. …”
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A Quality Soft Sensing Method Designed for Complex Multi-process Manufacturing Procedures by Kaixiang PENG, Xin QIN, Jiahao WANG, Hui YANG

“…Four correlation-based feature selection algorithms, Pearson correlation coefficient (PCC), Spearman correlation coefficient (SCC), mutual information (MI), and minimum redundancy maximum relevance (mRMR), are used for feature selection, and the same number of features are selected for both experiments. …”
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The Selective Extraction of Natural Sesquiterpenic Acids in Complex Matrices: A Novel Strategy for Isolating Zizanoic Acid in Vetiver Essential Oil by Ian Gardel Carvalho Barcellos-Silva, Ananda da Silva Antonio, Mateus Curty Cariello da Silva, Fernanda de Melo Regazio Cariello, Fernando Hallwass, Monica Costa Padilha, Valdir Florencio Veiga-Junior

“…The whole methodology and analytical approach proved to be very efficient for natural product complex mixture analysis and also very selective, allowing for a distinct capacity to recover carboxylic acids from complex biological samples.…”
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Catalytic purification of nitrogen oxides for complex industrial flue gas by WANG Penglu, ZHANG Yuxin, YE Zhenli, ZHANG Dengsong*

“…Currently, the most widely used and effective technology for nitrogen oxide purification is Selective Catalytic Reduction (SCR) using ammonia. …”
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