Diagnosing schizophrenia with routine blood tests: a comparative analysis of machine learning algorithms by Yavuz Selim Ogur, Ayse Erdogan Kaya, Nur Banu Ogur, Beyza Erdogan Akturk

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Evaluation of different spectral indices for wheat lodging assessment using machine learning algorithms by Shikha Sharda, Sumit Kumar, Raj Setia, Prince Dhiman, N. R. Patel, Brijendra Pateriya, Ali Salem, Ahmed Elbeltagi

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THERAPEUTIC EYELIDS HYGIENE IN THE ALGORITHMS OF PREVENTION AND TREATMENT OF OCULAR SURFACE DISEASES. PART II by V. N. Trubilin, E. G. Poluninа, E. Y. Markova, V. V. Kurenkov, S, G. Kapkova

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Design of netted muskmelon digital twin growth model based on HMM+LSTM algorithm by LU Peng, LIU Mingtang, WU Shanshan, LI Bin, LI Shihao, WANG Changchun, YANG Yangrui, JIANG Enhui

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Update on Erythrodermic Psoriasis: Proposal of a Management Algorithm by an Innovative Severity Evaluation Approach by Xu JM, Wu C, Feng H, Jin HZ

“…We also introduced, for the first time, a practical management algorithm based on severity evaluation to guide the appropriate treatment of EP.Keywords: erythrodermic psoriasis, treatment, conventional systemic drugs, biologics, small molecule drugs…”
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Application of Compensation Algorithms to Control the Speed and Course of a Four-Wheeled Mobile Robot by Gennady Shadrin, Alexander Krasavin, Gaukhar Nazenova, Assel Kussaiyn-Murat, Albina Kadyroldina, Tamás Haidegger, Darya Alontseva

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Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

“…The initial database was equalized and visualized using the Adasyn and t-SNE algorithms. Five rockburst prediction models [support vector machine (SVM), least-squares support vector machine (LSSVM), kernel extreme learning machine (KELM), Random Forest (RF), and XGBoost] were established by employing the Secretary Bird Optimization (SBO) algorithm and 5-fold cross-validation to optimize performance. …”
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InfoKids+: A Validation Study of a Pediatric Acuity Risk Stratification Algorithm by Carl A. Starvaggi, MD, Sophie Affentranger, MMed, Noelie Lengeler, MMed, Johan N. Siebert, MD, Annick Galetto-Lacour, MD, Rainer Tan, PhD, Manon Jaboyedoff, MD, Claudia E. Kuehni, MD, Mary-Anne Hartley, PhD, Kristina Keitel, PhD

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Parameter Sensitivity Analysis and Algorithm Improvement of Optimization Scheduling Model for Cascade Pumping Stations by LIU Xiaolian, LI Zhenrong, WANG Xue-ni, ZHAI Yu, ZHANG Lei-ke, GUO Weiwei, TIAN Yu

“…The results could provide suggestions for the daily operation decision-making of the project. The TRUN algorithm was applied to the optimization scheduling research of cascade pump stations, and the results showed that TRUN had 67, 56 and 46 optimal values in 100 sets of comparison data for each single-stage pumping station, and the total number of optimal values had a clear advantage among the six algorithms, in the optimization results of single-stage pumping stations. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Both algorithms demonstrated comparable performance across other modes. …”
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Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…Current urban green space information models require further development and refinement in research practices, which could focus on three approaches: The standardization of modeling process, the development of sharing platforms, and the application of generative algorithms. …”
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Machine Learning-Based Network Detection Research for SDNs by Lai Jiayue

“…This research endeavors to fortify the security posture of Software-Defined Networks (SDN) through the strategic utilization of intelligent machine learning techniques, with a primary focus on mitigating detrimental Denial of Service (DoS) attacks. …”
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Measurement Instruments and Software Used in Biotribology Research Laboratory by Tyurin Andrei, Ganus German, Stepanov Mikhail, Ismailov Gafurzhan

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TO THE QUESTION ON THE ECONOMIC RESEARCH USING ELECTRONIC DATA BASES by Yulia A. Kreminskaya, Dmitry A. Suslov

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Early Detection of Congenital Heart Diseases among Infants Using Artificial Neural Network Algorithm by Lucy Ifeyinwa Ezigbo, Anthony Kwubeghari, Francis Okoye

“…Although the use of Logistic Regression algorithm attained a high level of performance with an accuracy of 95.00%, but it still falls below the proposed ANN algorithm. …”
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Book review: Zegart, Amy B. Spies, lies, and algorithms: the history and future of American intelligence by Elena Maceviciute

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Promising Research Results and Development in the Field of Microwave Technology by A. V. Gusinsky

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A Review of 2D Lidar SLAM Research by Yingying Ran, Xiaobin Xu, Zhiying Tan, Minzhou Luo

“…Additionally, two key research topics in 2D Lidar SLAM are presented: solutions for dynamic objects during mapping and the fusion of 2D Lidar and vision data. …”
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Research on ontology based data integration of land use by CHEN Jian-jie, YE Zhi-xuan, KE Zheng-yi

“…This paper explored a land use reference model and expressed the semantic of domain knowledge distinctly based on the ontology technology, and used OWL (Ontology Web Language) to describe the partial of land use feature ontology. The research had achieved the purpose for knowledge sharing and semantic interoperation effectively, in addition, the paper gave an elementary process and main algorithms for land use data integration based on the ontology, and used a Multi-Agent method to develop a prototype.…”
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Research on cryptographic technology of future network information system by Liu Xiaokai, Wang Wendong, Yang Pengfei, Yang Jiangshuai, Meng Xiangbin

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