Correction of requests in the information system decision support by S. F. Lipnitsky

“…At the same time, three main goals are pursued: building of a generalized information retrieval model, development of algorithms for pre-search query correction and development of algorithms for post-search query correction.Methods. …”
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Practical Approach to Studying Evolutionary Methods for Setting Weight Coefficients of Artificial Neural Networks by D. O. Petrov

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STRUCTURAL DEIGN OF KEY COMPONENTS OF FEEDER BASED ON TOPOLOGY OPTIMIZATION AND MULTI-OBJECTIVE OPTIMIZATION by TANG HuaPing, LI HongXing, JIANG YongZheng, LIU Jie

“…The results show that the main reason for the failure of the feeder is the unreasonable design of the spring upper seat structure. …”
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Methods for Constructing Artificial Neural Networks for Data Classification by L. V. Serebryanaya

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Taxonomy of Memory Usage in Swarm Intelligence-Based Metaheuristics by Yasear et al.

“…Based on the usage of memory, metaheuristics can be classified into algorithms with memory and without memory (memory-less). …”
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Comparative analysis of power system generation adequacy calculating techniques by R. T. Valiev, V. P. Oboskalov, S. A. Gusev

“…The comparison of supplied demand algorithm and MCS in calculating GAI has been made. …”
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Optimizing Solar Radiation Prediction Based on The Internet of Things Platform in Photovoltaic Power Plant by Neda Ashrafi Khozani, Maryam Mahmoudi, Shabnam Nasr Esfahani

“…Meta-heuristic algorithms are utilized for optimizing tree-based methods, as well as for feature and instance selection. …”
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Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept by S. Prabakaran, S. Mary Praveena

“…Hence, early diagnosis and individualized care of osteosarcoma are essential since they may lead to more effective therapies and higher survival rates. Here, the main goal of the recommended research is to use a unique deep learning approach to predict the osteosarcoma on histology images. …”
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An Adaptive Task Traffic Shaping Method for Highly Concurrent Geographic Information System Services with Limited Resources by Zheng Wu, Hongyun Zhou, Zezhao Wang, Pengda Wu, Zhaoting Ma

“…Under the condition of limited resources, when the GIS service platform is faced with high concurrent service requests, the high concurrent processing capacity of a single server is the main bottleneck affecting the quality of service (QoS) of the GIS service platform. …”
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Research on Ginger Price Prediction Model Based on Deep Learning by Fengyu Li, Xianyong Meng, Ke Zhu, Jun Yan, Lining Liu, Pingzeng Liu

“…In order to ensure the price stability of niche agricultural products and enhance farmers’ income, the study delves into the pattern of the ginger price fluctuation rule and its main influencing factors. By combining seasonal decomposition STL, long and short-term memory network LSTM, attention mechanism ATT and Kolmogorov-Arnold network, a combined STL-LSTM-ATT-KAN prediction model is developed, and the model parameters are finely tuned by using multi-population adaptive particle swarm optimisation algorithm (AMP-PSO). …”
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Epilepsy Diagnosis Analysis via a Multiple-Measures Composite Strategy from the Viewpoint of Associated Network Analysis Methods by Haoying Niu, Tiange Mu, Yuting Wang, Jiayang Huang, Jie Liu

“…Some key features are selected via variance analysis, and the eXtreme Gradient Boosting (XGBOOST) machine learning algorithm is used for related binary and five-class classification tasks for electroencephalographic time series. …”
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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

“…Finally, the snake optimizer algorithm (SOA) method is employed to select the optimum parameter for the classification method. …”
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STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data by Yinghao Fu, Yinghao Fu, Yinghao Fu, Leqi Tian, Weiwei Zhang

“…STsisal leverages a novel approach that integrates marker gene selection, mixing ratio decomposition, and cell type characteristic matrix analysis to discern distinct cell types with precision and efficiency within complex tissues. The main idea of our method is its adaptation of the SISAL algorithm, which expertly disentangles the ratio matrix, facilitating the identification of simplices within the ST data. …”
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Antimicrobial chemotherapy of patients with lymphadenitis and adenophlegmon of the maxillofacial region by R. V. Ushakov, V. N. Tsarev, A. R. Ushakov, A. A. Labazanov

“…Microbiological substantiation of the algorithm of antimicrobial chemotherapy for lymphadenitis and adenophlegmon of the maxillofacial region.Materials and methods. …”
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Optimization of Structures and Composite Materials: A Brief Review by André Ferreira Costa Vieira, Marcos Rogério Tavares Filho, João Paulo Eguea, Marcelo Leite Ribeiro

“…Particularly in optimization, neural networks and deep neural networks are extensively employed to enhance the efficiency of genetic algorithms because, with this tool, it is possible to speed up the finite element analysis process, which will also speed up the optimization process. …”
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Comprehensive optimisation of the economy and emissions of diesel engines: A full factorial design approach combining the Kriging method, NSGA III, and TOPSIS by Shichen Yang, Mingjiang Yu, Mingding Wan, Zhengjiang Wang, Yuting Ma, Lizhong Shen, Guisheng Chen, Yuchen Xu

“…Experiments were carried out with main injection timing, injection pressure, and exhaust gas recirculation rate as factors. …”
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Proposing a framework for body mass prediction with point clouds: A study applied in typical swine pen environments by Gabriel Pagin, Luciane Silva Martello, Rubens André Tabile, Rafael Vieira de Sousa

“…Challenges persist in implementing these techniques in pens with a large number of animals, especially in extracting physical body characteristics from images in a production environment. In this context, the main objective of this research is to investigate a novel framework comprising effective algorithms for feature extraction, attribute selection, hyperparameter optimization, and prediction modelling, using point clouds collected from production animals (growing and finishing pigs). …”
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Study on the Method of Vineyard Information Extraction Based on Spectral and Texture Features of GF-6 Satellite Imagery by Xuemei Han, Huichun Ye, Yue Zhang, Chaojia Nie, Fu Wen

“…This study selected the main oasis area of Turpan City in Xinjiang, China, as the research area. …”
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Investigation on Circadian Regulation of Four-Primary LED Display Differed in People by GA by Wenhui Li, Junying Li, Yating Feng, Yi Lin, Haoyang Liu, Ruoping Lian, Qinzhen Lin, Jingyi Cui, Zixin Huang, Yaling Chai, Ziquan Guo, Lili Zheng, Zhong Chen

“…Then, the genetic algorithm is adopted for performing the spectral optimization of four-primary LED display while many constraint conditions are set, such as CCT values (2700 K and 6500 K), CCT tolerance, and color distance (<italic>D</italic>_uv &lt; 0.01) in the CIE 1960 UCS color space. …”
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Survey of controller placement problem in software defined network by Xian-ming GAO, Bao-sheng WANG, Wen-ping DENG, Jing TAO

“…In order to change situation of high management complexity in current Internet,software defined network (SDN) was proposed,which mainly aimed to directly control forwarding behaviors of data-flow by using flow strategies generated by controllers.With the deployment and applications of SDN,research communities found that the controller placement in SDN network could directly affect network performance.In recent years,controller placement problem (CPP) has become a hot topic,where performance metric and searching algorithms are important research areas.Based on current researches,the existing controller placement problem was systematically analyzed and summarized,which was expected to be helpful for the follow-up research.…”
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