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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Complex processing geophysical survey and selection of methods for detailing the geological structure of mega-reservoirs (Hayan block, of the Palmyride fold belt) by V. L. Schuster, O. V. Tyukavkina, I. Kartal

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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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Main control factors affecting mechanical oil recovery efficiency in complex blocks identified using the improved k-means algorithm. by Qiuyu Lu, Suling Wang, Minzheng Jiang, Yanchun Li, Kangxing Dong

“…Moreover, the algorithm is sensitive to the selection of the initial cluster centre point, so each calculation result that reflects the efficiency characteristics of the block system cannot be unified. …”
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Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

“…Machine learning (ML) techniques have shown promise in addressing these diagnostic challenges due to their higher efficiency and reduced error rates in analyzing complex, high-dimensional datasets, particularly those derived from speech signals. …”
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Gradient Boosting Feature Selection for Integrated Fault Diagnosis in Series-Compensated Transmission Lines by Rab Nawaz, Abdul Wadood, Khawaja Khalid Mehmood, Syed Basit Ali Bukhari, Hani Albalawi, Aadel Mohammed Alatwi, Muhammad Sajid

“…The integration of feature extraction with efficient gradient-boosting feature selection ensures high accuracy, speed, and computational efficiency, thus outperforming techniques that require heavy preprocessing. …”
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Structural Equation Model-Based Selection and Strength Co-Relation of Variables for Work Performance Efficiency Under Traffic Noise Exposure by Manoj Mansing YADAV, Bhaven TANDEL

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Efficient Capacity-Based Joint Quantized Precoding and Transmit Antenna Selection Using Cross-Entropy Method for Multiuser MIMO Systems by Jung-Chieh Chen, Min-Han Chiu, Yi-Syun Yang, Kuan-Yuen Liao, Chih-Peng Li

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Low-complexity timer-based multi-relay selection and sequential power allocation of cooperative cognitive radio networks for future Internet of things by Md Arifur Rahman, Youngdoo Lee, Insoo Koo

“…Thus, for an efficient utilization of resources to support the applicability of cognitive radio for the Internet of things, we propose a low-complexity timer-based multi-relay selection that determines a forwarding relay set before the source begins to transmit its data. …”
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