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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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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Exploring the usability of the text-based CAPTCHA on tablet computers by Darko Brodić, Alessia Amelio

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Research on switch migration method based on minimum cost path by Yingxu LAI, Yewei PU, Jing LIU

“…In order to protect the controller,especially the controller in backbone network,from security threats and attacks,improve the security of the software-defined network (SDN) control plane,a switch migration algorithm based on minimum cost path was proposed.A load prediction module was added to the migration model,which executed a controller load prediction algorithm to obtain a load prediction matrix,and then a migration-target controller set was determined according to the load prediction matrix.The improved Dijkstra algorithm was used to determine the minimum cost path.According to the load state of the controller and the traffic priority of the switch to be migrated,the optimal migration switch set was determined.The problem of isolated nodes was solved that may occur during the migration process.The experimental results show that the migration timing of the algorithm is more reasonable,the selection of the migration controller and the target controller is more reasonable,the load balancing of the control plane is realized,the number of migrations and cost are reduced,and the performance of the controller is improved.…”
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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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Scheduling of home energy management systems for price-based demand response and end-users discomfort reduction by Kamyab Gholam-Reza

“…However, this optimization may compromise the comfort of the residents. …”
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Artificial Intelligence and Human Rights by Nesrin Singil

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The Bregman Modified Second APG Method for DC Optimization Problems by Lumiao Wang, Ziye Liu, Chunguang Liu

“…In recent years, numerous algorithms have been developed to solve DC problems, demonstrating strong performance across various applications. …”
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Understanding dosage effects of traditional Chinese medicine using network analysis by Jiawei Wu, Dianjing Guo

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Classification Based on Brain Storm Optimization With Feature Selection by Yu Xue, Yan Zhao, Adam Slowik

“…Recently, some evolutionary algorithms (EAs) such as the fireworks algorithm (FWA) and brain storm optimization (BSO) algorithm have been employed to implement the evolutionary classification model and achieved the desired results. …”
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Diagnostics and age-related evolution of Lennox–Gastaut syndrome. Management in diverse patient age periods by E. D. Belousova, S. G. Burd, N. A. Ermolenko, K. Yu. Mukhin

“…Expanding the criteria to diagnose the Lennox–Gastaut syndrome discussed here would allow to choose a proper treatment algorithm. Rufinamide is the drug of the second choice in the adjunctive therapy of epileptic seizures associated with Lennox–Gastaut syndrome. …”
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Research and Modeling of Commercial Location Selection Based on Geographic Big Data and Mobile Signaling Data—A Case Study of the Central Urban Area of Beijing by Jin Zou, Xun Zhang, Yangxiao Cong, Zhentong Gao, Jinlian Shi

“…This study utilizes mobile phone signaling data from Beijing combined with point-of-interest (POI) data from within the Sixth Ring Road of Beijing to identify user behaviors using algorithms. Through a combination of BiLSTM-RF and reinforcement learning algorithms, a population location prediction algorithm is constructed to address the issues of inaccurate and outdated population flow data in commercial site selection. …”
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Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.) by Fazilat Fakhrzad, Warqaa Muhammed ShariffAl-Sheikh, Mohammed M. Mohammed, Heidar Meftahizadeh

“…To identify optimal combinations of genotype and planting date for maximizing morphological traits, the RF model was integrated with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). According to the RF–NSGA-II optimization results, the optimal values, including 26 branches per plant, a growth period of 176 days, 116 bolls per plant, and 1517 seed numbers per plant, were achieved with the Qaleganj genotype planted on May 5. …”
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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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SIGLEC1 has the potential to be an immune-related prognostic indicator in colon adenocarcinoma: a study based on transcriptomic data and Mendelian randomization analysis by Jue Gu, Yaxuan Wang, Hui Zhang, Haijuan Gu, Haixia Zhu

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Changes of gastric microflora and metabolites in patients with chronic atrophic gastritis by Yumei Ma, Jianming Jiang, Zhufeng Yang, Yongzhang Li, Haiyan Bai, Zongxiu Liu, Shuo Zhang, Zheng Zhi, Qian Yang

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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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