STUDYING DEVELOPMENT OF POST-VACCINAL CELLULAR IMMUNITY AGAINST BRUCELLOSIS BY MEANS OF LYMPHOCYTE <i>IN VITRO</i> TESTS USING AN EXPERIMENTAL ANTIGENIC COMPLEX by M. V. Kostyuchenko, E. L. Rakitina, D. G. Ponomarenko, O. V. Logvinenko, S. A. Kurcheva, T. V. Berdnikova, D. V. Rusanova, A. N. Kulichenko

“…The applied experimental antigen is a quite promising tool for development of laboratory algorithms for brucellosis diagnostics, and assessment of actual vaccination efficiency in cohorts previously vaccinated against brucellosis.…”
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Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs by Thiago Fellipe Ortiz de Camargo, Thiago Fellipe Ortiz de Camargo, Guilherme Alberto Sousa Ribeiro, Guilherme Alberto Sousa Ribeiro, Maria Carolina Bueno da Silva, Luan Oliveira da Silva, Pedro Paulo Teixeira e Silva Torres, Denise do Socorro da Silva Rodrigues, Mayler Olombrada Nunes de Santos, William Salibe Filho, Marcela Emer Egypto Rosa, Magdala de Araujo Novaes, Thiago Augusto Massarutto, Osvaldo Landi Junior, Elaine Yanata, Marcio Rodrigues da Cunha Reis, Gilberto Szarf, Pedro Vieira Santana Netto, Joselisa Peres Queiroz de Paiva

“…The study also assessed the agreement between the two groups on the algorithm's heatmap and its influence on their decisions.ResultsIn the internal validation, the Lung Abnormality and Tuberculosis models achieved an AUC of 0.94, while the Radiological Findings model yielded a mean AUC of 0.84. …”
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MP-LLAVRec: an agricultural product recommendation algorithm based on LLAVA and user modal preference by Peishan Li, Peishan Li, Peishan Li, Lutao Gao, Lutao Gao, Lutao Gao, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lin Peng, Lin Peng, Lin Peng, Chunhui Bai, Chunhui Bai, Chunhui Bai, Linnan Yang, Linnan Yang, Linnan Yang

“…However, the following three problems still exist in the traditional agricultural product recommendation domain: (1) the problem of missing modalities made it difficult for consumers to intuitively and comprehensively understood the product information; (2) most of them relied on shallow information about the basic attributes of agricultural products and ignored the deeper associations among the products; (3) they ignored the deeper connections among individual users and the intrinsic associations between the user embedding and the localized user representation in different modalities, which affected the accuracy of user modeling and hindered the final recommendation effect.MethodsTo address these problems, this paper innovatively proposed an agricultural product recommendation algorithm based on LLAVA and user behavioral characteristics, MP-LLaVRec(Modal Preference - Large Language and Vision Recommendation). …”
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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

“…Finally, taking a three-stage pumping station as an example, the Sobol method was used to quantitatively determine the sensitivity sequence of its system parameters, and TRUN was used to get the optimal scheduling scheme of the cascade pumping stations.Results and Discussions　The mean and standard deviation of six benchmark functions, including unimodal (Schwefel 2.21 (<italic>f</italic>₁), Rosenbrock (<italic>f</italic>₂)), multimodal (Schwefel (<italic>f</italic>₃), Rastrigin (<italic>f</italic>₄)), fixed dimension (Hartman (<italic>f</italic>₅), Shekel (<italic>f</italic>₆)), were calculated by TRUN, RUN, TPSO, PSO, TGA and GA algorithms. …”
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Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…Although image processing methods provide efficient means for acquiring and analyzing data on sediment transport characteristics, their accuracy is often compromised by water waves, bubbles, and threshold errors. …”
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Fault Diagnosis Research on Bearingof Motor Based on LMD And Support Vector Machine by YIN Zhao-jie, XU Tong-le, ZHENG Dian-kun

“…Aiming at the limitation of the support vector machine ( SVM) to deal with the large sample dataand the multi classification problem and the selection of kernel function，the fault diagnosis method of motor bearing based on LMD and support vector machine is proposed. Firstly，the local mean decomposition ( LMD) algorithm is used to adaptively decompose the signal to get a series of PF components ，and the correlation analysis is used to eliminate false components. …”
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Sparse FIR Filter Design using Double Generalized Orthogonal Matching Pursuit (DGOMP) by Samuel Farayola Kolawole, Farouk Muhammad Isah, Nasiru Ameh Musa, Ashraf Adam Ahmad

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New Method for Solving Substation Expansion Planning Problem Using Fuzzy Clustering Algorithms by Zahra Moravej, Hossein Kiani Rad

“…The proposed clustering algorithms are Hard C-Means (HCM), Fuzzy C-Means and Possibilistic C-Means. …”
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Dynamic Calibration Method of Multichannel Amplitude and Phase Consistency in Meteor Radar by Yujian Jin, Xiaolong Chen, Songtao Huang, Zhuo Chen, Jing Li, Wenhui Hao

“…In this study, we propose a dynamic adaptive calibration method that combines normalized least mean square and correlation algorithms, integrated with hardware design. …”
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An Efficient MapReduce-Based Parallel Clustering Algorithm for Distributed Traffic Subarea Division by Dawen Xia, Binfeng Wang, Yantao Li, Zhuobo Rong, Zili Zhang

“…Specifically, we first modify the distance metric and initialization strategy of K-Means and then employ a MapReduce paradigm to redesign the optimized K-Means algorithm for parallel clustering of large-scale taxi trajectories. …”
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An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques by Elid Rubio, Oscar Castillo, Fevrier Valdez, Patricia Melin, Claudia I. Gonzalez, Gabriela Martinez

“…In this work an extension of the Fuzzy Possibilistic C-Means (FPCM) algorithm using Type-2 Fuzzy Logic Techniques is presented, and this is done in order to improve the efficiency of FPCM algorithm. …”
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A Comparative Study of Customized Algorithms for Anomaly Detection in Industry-Specific Power Data by Minsung Jung, Hyeonseok Jang, Woohyeon Kwon, Jiyun Seo, Suna Park, Beomdo Park, Junseong Park, Donggeon Yu, Sangkeum Lee

“…In the metal industry, a Z-Score-based statistical approach with threshold optimization was used; in the food industry, a hybrid model combining K-Means, Isolation Forest, and Autoencoder was designed; and in the chemical industry, the DBA K-Means algorithm (Dynamic Time Warping Barycenter Averaging) was employed. …”
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The Big Data Processing Algorithm for Water Environment Monitoring of the Three Gorges Reservoir Area by Yuanchang Zhong, Liang Zhang, Shaojing Xing, Fachuan Li, Beili Wan

“…The fast clustering algorithm is based on fuzzy C-means clustering algorithm and hard C-means clustering algorithm. …”
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Correlation of Concept and Image in the Process of Algorithm development for Analyzing the Image-Concept of a State by Ksenia P. Posternyak, Kirill P. Posternyak

“…Using this algorithm we describe the means of verbalization of 4 layers of the image-concept “Russia” in the British media discourse of 1916-1922, the period crucial for our country. …”
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Concrete Structure Identification and Damage Detection Based on Genetic Algorithm Combined with Cluster Analysis by Xukai Ren, Ke Wang, Xiaofang Han, JingYi Zhang

“…It uses Back Propagation Neural Network (BPNN) to improve Genetic Algorithm (GA), while combining K-means++ clustering analysis method for mixed damage identification. …”
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Research on Hybrid Collaborative Filtering Recommendation Algorithm Based on the Time Effect and Sentiment Analysis by Xibin Wang, Zhenyu Dai, Hui Li, Jianfeng Yang

“…The time factor and sentiment tendency are then integrated into the K-means clustering algorithm to select the nearest neighbor. …”
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Multi-Search Strategy-based Improved Water Flow Optimizer Algorithm for Cluster Analysis by Prateek Thakral, Yugal Kumar

“…It is observed that partitional clustering algorithms are widely popular due to there simplicity and easy implementation such as k-means, k-medoids, and k-harmonic means. …”
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Big data processing using hybrid Gaussian mixture model with salp swarm algorithm by R. Saravanakumar, T. TamilSelvi, Digvijay Pandey, Binay Kumar Pandey, Darshan A. Mahajan, Mesfin Esayas Lelisho

“…The methodology proposed in this work makes use of Gaussian Mixture Model (GMM) for data clustering and the Salp Swarm Algorithm (SSA) for optimization. The security of preprocessed data stored on networked clusters with interconnections has been ensured by SHA algorithms. …”
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Assessing the Performance of DWT-PCA/SVD Face Recognition Algorithm under Multiple Constraints by Joseph Agyapong Mensah, Louis Asiedu, Felix O. Mettle, Samuel Iddi

“…The post hoc analysis using the Bonferroni simultaneous confidence interval revealed that the significant difference established through the pairwise comparison test was mainly due to the sad expressions. Although the performance of the DWT-PCA/SVD algorithm declined as compared to its performance on single constraints, the algorithm attained appreciable performance level under multiple constraints. …”
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Construction of the control algorithm to improve energy efficiency of a switched reluctance electric motor by А. V. Kashuba, A. V. Shevkunova

“…The calculations are made by means of specialized programs interacting with each other FEMM and MATLAB. …”
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