Optimization of Rockburst Grade Prediction Model Based on Multidimensional Feature Selection: Integrated Learning and Index System Correlation Analysis by Jiayang Chen, Xuebin Xie

“…CatBoost has the best performance and strong overfitting resistance; LightGBM is the second most efficient and suitable for real-time applications. …”
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Integration of the analytic hierarchy process and Monte Carlo feature selection for a spatiotemporal weighting scheme in meteorological drought monitoring by Muhammad Hamza, Rizwan Niaz, Ibrahim Ali H Nafisah, Luca Di Persio, Abdulkareem M. Basheer, Mohammed M. A. Almazah

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Artificial intelligence for herbicide recommendation: Case study for the use of clomazone in Brazilian soils by Hamurábi Anizio Lins, Matheus de Freitas Souza, Lucrecia Pacheco Batista, Luma Lorena Loureiro da Silva Rodrigues, Francisca Daniele da Silva, Bruno Caio Chaves Fernandes, Stefeson Bezerra de Melo, Paulo Sergio Fernandes das Chagas, Daniel Valadão Silva

“…Its interaction is dependent on the properties of the soil and the herbicide itself and, therefore, is considered complex. An alternative to optimize the use of herbicides is the application of mathematical models to estimate the sorption in the soil, contributing to a more efficient control of weeds and bringing more environmental safety. …”
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A Study of the Spatial Effects of Financial Support and Economic Growth under Optimal Control of Nonlinear Generalized Complex Systems by Xuexue Tang

“…This paper selects three dimensions of the financial system, namely, financial structure, financial efficiency, and financial scale, and studies the adaptability between these three dimensions and the development of the real economy, respectively, and then uses different empirical methods to analyze the dynamic adaptability effects between the development of the real economy and these three dimensions of the financial system and finally explores the way of adaptability between the financial system and the development of the real economy. …”
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Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

“…The proposed method provides a viable alternative for secure and efficient credit card fraud detection in the contemporary digital economy, characterized by high accuracy and real-time scalability.…”
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Selection of Frequency Estimation of 6-10 kV-Overhead Lines’ Technical Condition Based on Reliability Statistical Studies by Basmanov V.G., Kholmanskikh V.M.

“…The most essential result is the experimental and theoretical confirmation that the complex indicator of reliability, i.e., the technical preparedness coefficient with account of self-eliminating failures, can be used as the frequency criterion for verification of the OL technical condition. …”
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Experimental Analysis of Thermal Performance and Evaluation of Vibration and Utility Function for the Readaptation of a Residential Building in an Experimental Housing Complex by Małgorzata Fedorczak-Cisak, Alicja Kowalska-Koczwara, Piotr Stecz, Anna Shymanska, Davide Ottaviano Palmieri

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Selection of Trajectories to Improve Thermal Fields During the Electric Arc Welding Process Using Hybrid Model CFD-FNN by Sixtos A. Arreola-Villa, Alma Rosa Méndez-Gordillo, Alejandro Pérez-Alvarado, Rumualdo Servín-Castañeda, Ismael Calderón-Ramos, Héctor Javier Vergara-Hernández

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Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…However, the acquisition of expert knowledge faces problems such as excessively high labor costs, limited expert experience, and the inability to solve large-scale and highly complex DAGs. Moreover, the current data learning methods also face the problems of low computational efficiency or decreased accuracy when dealing with large-scale and highly complex DAGs. …”
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Plasmodium falciparum merozoite surface protein 2 genetic polymorphism and multiplicity of infection in selected malarious areas of Northwest Ethiopia by Agenagnew Ashagre, Jimma Dinsa Deressa, Daniel Abebe Mekonnen, Melat Abdu, Tegegne Eshetu, Migbaru Keffale, Aberham Abere, Mulugeta Aemero Tegegne

“…Method A cross-sectional study was conducted to assess merozoite surface protein 2 polymorphisms in P. falciparum isolates from selected malarious areas in Northwest Ethiopia from April to June 2021. …”
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Accuracy and cost comparison of 3D-printed guides in complex spinal deformity correction: direct vs indirect design by Wei Yang, Wei Yang, Wei Yang, Wei Guo, Wei Guo, Wen-Jun Wu, Rong Ma, Zemin Wang, Honglai Zhang, Wanzhong Yang, Zhaohui Ge, Zhaohui Ge

“…The results indicate that both guide techniques can achieve precise orthopedics, but the indirect guide has advantages in clinical transformation efficiency.ConclusionBoth direct and indirect 3D-printed guides can optimize screw implantation and complex osteotomy procedures, improving the accuracy of pedicle screw placement and osteotomy. …”
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ASSESSMENT OF COLLECTION NURSERY OF WINTER GARLIC ON ECONOMY VALUABLE SIGNS by L. I. Gerasimova, A. F. Agafonov, Т. М. Seredin

“…Results of long-term researches by laboratory selection of onions cultures (VNIISSOK) on studying, assessment and selection exemplars grades of garlic winter, collected from different regions of Russia and the CIS countries, on a complex of signs are presented in article (winter hardiness, efficiency, to quality of production, resistance to wreckers and diseases).…”
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COMPLEX ASSESSMENT OF RISK FACTORS FOR PRECISE CHOICE OF REVASCULARIZATION STRATEGY IN ST ELEVATION MYOCARDIAL INFARCTION AND MULTIVESSEL CORONARY DISEASE by R. S. Tarasov, V. I. Ganyukov, E. S. Kagan, O. L. Barbarash, L. S. Barbarash

“…Invention of the model of differentiated strategy selection of revascularization in acute myocardial infarction with ST elevation (STEMI) and multivessel disease (MVD).Material and methods. …”
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MW‐SAM:Mangrove wetland remote sensing image segmentation network based on segment anything model by Yu Zhang, Xin Wang, Jingye Cai, Qun Yang

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Multimodal trajectory prediction for intelligent connected vehicles in complex road scenarios based on causal reasoning and driving cognition characteristics by ZhiYong Yang, Jun Yang, Yu Zhou, QinXin Xu, MingHui Ou

“…Abstract The safe and efficient operation of smart Intelligent vehicles relies heavily on accurate trajectory prediction techniques. …”
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Profiling low-mRNA content cells in complex human tissues using BD Rhapsody single-cell analysis by Alexandra Scheiber, Manuel Trebo, Annabella Pittl, Isabel Heidegger, Theresa Hautz, Rupert Oberhuber, Zlatko Trajanoski, Florian Augustin, Sieghart Sopper, Dominik Wolf, Andreas Pircher, Stefan Salcher

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A Deep-Neural-Network-Based Surrogate Model for DC/AC Converter Topology Selection Using Multi-Domain Simulations by Gabriel Avila Saccol, Van-Hai Bui, Wencong Su

“…The selection of optimal DC/AC power converter topologies for specific applications is often a time-consuming and complex task, which can lead to suboptimal choices. …”
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Encapsulation of Bacillus thuringiensis using sodium alginate and chitosan coacervates for insect-pest management by P. Duraimurugan, K.S.V.P. Chandrika, E. Bharathi, D. Neethu Roy

“…The study investigates the complex coacervation process of sodium alginate (SA) and chitosan (CS), aiming to optimize the yield of coacervates formed from these marine polysaccharides. …”
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Effects of Different Fungicides on Paecilomyces formosus, the Causal Agent of Dieback and Canker Diseases of Pistachio by Mohammad Roushanpour, Maryam Soleimani, Mohammad Moradi, Seyed Reza Fani, Zohreh Jafari, Ehsan Hosseinzadeh, Claudia Probst

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Exploring genomic feature selection: A comparative analysis of GWAS and machine learning algorithms in a large‐scale soybean dataset by Hawlader A. Al‐Mamun, Monica F. Danilevicz, Jacob I. Marsh, Cedric Gondro, David Edwards

“…Feature selection is important in large genomic data as it helps in enhancing interpretability and computational efficiency. …”
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