METHODS OF MATHEMATICAL STATISTICS AS A MEANS OF PROFESSIONAL COMPETENCE FORMATION OF STUDENTS-ECOLOGISTS by S. I. Toropova

“…The experience of such training in different universities of Russia was summarized. Results and scientific novelty. …”
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Model of three-way decision based on the space of set pair information granule and its application by Chun-ying ZHANG, Li-ya WANG, Ming-xia LI, Bao-xiang LIU

“…Through the analysis of the existing theory and method of three-way decision,model of three-way decision based on the space of set pair information granule was proposed,which was to explain the intension and extension of three-way decision on the view of unity of opposites.Firstly the space structure of set pair information granule can be di-vided into positive granule,negative granule,different granule,which were similar and slightly different with three re-gions of generalized three-way decision.The three kinds of information granules in set pair information granule space were built based on certain positive degree,negative degree and different degree.Secondly,according to the given threshold,set pair information granule is divided into mutually disjointing positive region,negative region and different region.Based on these three regions,the computing method of decision loss function is put forward,and the process of decision-making algorithm is obtained use the three-way decision method of set pair information granule space to evalu-ate and make decision on risk investment,then good decision results have been achieved.…”
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Model of three-way decision based on the space of set pair information granule and its application by Chun-ying ZHANG, Li-ya WANG, Ming-xia LI, Bao-xiang LIU

“…Through the analysis of the existing theory and method of three-way decision,model of three-way decision based on the space of set pair information granule was proposed,which was to explain the intension and extension of three-way decision on the view of unity of opposites.Firstly the space structure of set pair information granule can be di-vided into positive granule,negative granule,different granule,which were similar and slightly different with three re-gions of generalized three-way decision.The three kinds of information granules in set pair information granule space were built based on certain positive degree,negative degree and different degree.Secondly,according to the given threshold,set pair information granule is divided into mutually disjointing positive region,negative region and different region.Based on these three regions,the computing method of decision loss function is put forward,and the process of decision-making algorithm is obtained use the three-way decision method of set pair information granule space to evalu-ate and make decision on risk investment,then good decision results have been achieved.…”
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Mutual Defense Scheme for Secure Data Aggregation in Wireless Sensor Networks by Hu Rong-hua, Dong Xiao-mei, Wang Da-ling

“…Considering that the readings sensed by neighbor nodes exhibit temporal and spatial correlation, a constraint parameter, called maximum tolerant difference (MTD), is introduced and the quantitative criteria for abnormal readings evaluation are given. …”
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Modeling of digital spatial processing under conditions of troposphere propagation of centimeter radio waves for wireless telecommunication by Ilia W. Peshkov, Dmitry N. Borisov

“…The performance of algorithms for direction-of-arrival estimation and beamforming in the troposphere can be evaluated using ray tracing simulation.Methods. …”
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Cognitive disparity in online rumor perception: a group analysis during COVID-19 by Chao Shen, Pengyu He, Zhenyu Song, Yimeng Zhang

“…Notably, discernible disparities emerge in group cognition as different types of rumors pertaining to the same event propagate. …”
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Nephrotoxicity Biomarkers: Role and Significance in the Diagnosis of Drug-Induced Kidney Injury by O. V. Muslimova, V. A. Evteev, I. A. Mazerkina, E. A. Sokova, A. B. Prokofiev, A. V. Shapchenko, T. V. Alexandrova

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Modeling and Simulation of Energy-Regenerative Active Suspension Based on BP Neural Network PID Control by Jiang Liu, Xinjun Li, Xilong Zhang, Xiufeng Chen

“…For this system, a PID controller based on BP neural network algorithm is designed and vehicle dynamic performances are studied. …”
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Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems by Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, Warna Karunasena, Hadi Nourizadeh, Shima Entezam, Shahab Hosseini, Naj Aziz

“…For this purpose, after building the dataset and dividing it randomly into two training and testing datasets, five different XGBoost models were developed: a standalone XGBoost model and four hybrid models incorporating Harris hawk optimisation (HHO), the jellyfish search optimiser (JSO), the dragonfly algorithm (DA), and the firefly algorithm (FA). …”
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Robust extreme gradient boosting model for predicting the behavior of RC slabs under impact loading: key influencing factors and performance insights by Ammar Babiker

“…The study highlights the potential of ML algorithms in structural analysis and encourages future research to validate these outcomes with experimental data and explore the influence of different projectile shapes on slab performance.…”
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Suppression of Repeat-Intensive False Targets Based on Temporal Pulse Diversity by Gang Lu, Yongqiang Chen, Yu Lei, Guan Gui

“…An electronic protection (EP) algorithm based on the space time block code (STBC) is proposed to suppress the adverse effects of this jammer. …”
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Predicting Missing Links Based on Power-Law Distribution and Information Transmission Efficiency by Yi Wang, Jun Ma

“…The proposed method does not require manual parameter tuning, making it more efficient and adaptable to different networks. Through experiments on multiple real-world networks, the algorithm demonstrates high prediction accuracy and achieves impressive results when evaluated using standard metrics. …”
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Model Validation and Strategy Analysis in Retrial Queues with Delayed Vacations and Feedback Based on Monte Carlo Simulation by Yanling Huang, Ruiling Tian, Junting Su

“…Particle Swarm Optimization (PSO), Ant Colony Algorithm (ACA) and Sparrow Search Algorithm (SSA) are applied to obtain the minimum system cost, respectively. …”
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Optimization of the Mixture Design of Low-CO2 High-Strength Concrete Containing Silica Fume by Seung-Jun Kwon, Xiao-Yong Wang

“…Similarly, the concrete mixtures with the lowest cost were determined based on the genetic algorithm. We found that, in some cases, the mixtures with the lowest CO2 emissions were different from those with the lowest cost. …”
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MRI based early Temporal Lobe Epilepsy detection using DGWO based optimized HAETN and Fuzzy-AAL Segmentation Framework (FASF). by Hasim Khan, Ahmed Ibrahim Alutaibi, Ghanshyam G Tejani, Sunil Kumar Sharma, Ahmad Raza Khan, Fuzail Ahmad, Seyed Jalaleddin Mousavirad

“…Furthermore, an effective feature selection method is proposed using the Dipper- grey wolf optimization (DGWO) algorithm to improve the performance of the proposed model. …”
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Vertiport Infrastructure Location Optimization for Equitable Access to Urban Air Mobility by Vasileios Volakakis, Hani S. Mahmassani

“…To evaluate and compare the introduced methodology, different existing facility location problems (FLPs) were considered and solved exactly using integer and linear programming. …”
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Intelligent Layout and Optimization of EV Charging Stations: Initial Configuration via Enhanced K-Means and Subsequent Refinement through Integrated GCN by H. Yang, M. Liu, J. Zou, R. Xu, J. Huang, P. Geng

“…Additionally, sensitivity analysis and ablation experiments based on Points of Interest (POI) data are conducted to evaluate the impact of various POI features on the layout of charging stations and to explore the contribution of different model components to classification performance.…”
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Recovering NDVI over lake surfaces: Initial insights from CYGNSS data enhanced by ERA-5 inputs by Yinqing Zhen, Qingyun Yan

“…Meanwhile, the Weighted Linear Regression-Laplacian Prior Regulation Method (WLR-LPRM) image gap-filling algorithm is used as a benchmark to evaluate recovery accuracy. …”
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Machine Learning-Driven Acoustic Feature Classification and Pronunciation Assessment for Mandarin Learners by Gulnur Arkin, Tangnur Abdukelim, Hankiz Yilahun, Askar Hamdulla

“…This study confirms the effectiveness of objective assessment methods based on formant analysis in speech acquisition research, provides a theoretical basis for algorithm optimization in speech evaluation systems, and holds significant application value for the development of Computer-Assisted Language Learning (CALL) systems and the improvement of multi-ethnic Mandarin speech recognition technology.…”
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Personalised Affective Classification Through Enhanced EEG Signal Analysis by Joseph Barrowclough, Nonso Nnamoko, Ioannis Korkontzelos

“…This overlooks individual differences and may not accurately capture the unique emotional patterns of each person.Methods This study explored the performance of six machine learning algorithms in classifying a benchmark EEG dataset (collected with a MUSE device) for affective research. …”
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