Optimal tuning of PI based LF for three-phase SRF PLL synchronization system using pity beetle algorithm under grid abnormalities by P. Riyas, S. A. Lakshmanan

“…To overcome these limitations, this paper proposes a novel PI tuning approach based on the pity beetle algorithm (PBA) for the SRF PLL grid synchronization system. …”
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A Dynamic Reactive Power Optimization Algorithm for Regional Power Grid Based on Decoupling Interior Point Method and Mixed Integer Programming Method by Jie ZHANG, Yunyao ZHENG, Shengchun LIU, Yongfei MA, Wei YAN, Hengfeng WANG

“…Therefore, this paper proposes a two-stage dynamic reactive power optimization algorithm based on decoupling interior point method and mixed integer programming. …”
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A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries by Yuyang Zhou, Zijian Shao, Huanhuan Li, Jing Chen, Haohan Sun, Yaping Wang, Nan Wang, Lei Pei, Zhen Wang, Houzhong Zhang, Chaochun Yuan

“…Remaining useful life (RUL) serves as a pivotal metric for quantifying lithium-ion batteries’ state of health (SOH) in electric vehicles and plays a crucial role in ensuring their safety and reliability. In order to achieve accurate and reliable RUL prediction, a novel RUL prediction method which employs a back propagation (BP) neural network based on the Harris Hawks optimization (HHO) algorithm is proposed. …”
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Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms by Shuhui Hua, Chuan Li, Yuanlong Wang, YiZhi Liang, Shanling Xu, Jian Kong, Hongyan Gong, Rui Dong, Yanan Lin, Xu Lin, Yanlin Bi, Bin Wang

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Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology by Hassan Bagheri, Reza Mohebian, Ali Moradzadeh, Behnia Azizzadeh Mehmandost Olya

“…To assess the effectiveness of the proposed algorithm, we compared it with two traditional methods for log estimation: multiple regression and multi-resolution graph-based clustering methods. …”
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Anti-platelet therapy algorithms in women by O. N. Tkacheva, T. V. Kirsanova, N. V. Latysheva

“…The review is focussed on the evidence base for anti-platelet therapy (APT) algorithms in women. …”
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PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

“…Roadheaders play a crucial role in the excavation processes of tunnels and mines, offering efficient and precise cutting capabilities. …”
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Furniture design based on cultural orientation: a thematic review by Wenhong Huang, Ahmad Rizal Abdul Rahman, Sarjit S. Gill, Raja Ahmad Azmeer Raja Ahmad Effendi

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Compatibility optimization of the traditional Chinese medicines ‘Eczema mixture’ based on back-propagation artificial neural network and non-dominated sorting genetic algorithm by Xin He, Zhijie Song, Yanqun Yang, Siqi Wu, Shuo Meng, Huanyu E, Hongfei Li, Guoyu Ding

“…IntroductionChinese medicine formulas (CMF) are an important aspect of traditional Chinese medicine (TCM) and are formulated based on strict compatibility proportions guided by TCM theory. …”
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A Coherent Approach-Based Fine-Tuning of Segment Anything Model Plus Watershed Algorithm for Instance Segmentation of Mitochondria in Electron Microscopy Images by Zahra Faska, Lahbib Khrissi, Imadeddine Mountasser, Khalid Haddouch, Nabil El Akkad, Samah Alshathri, Walid El-Shafai

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Extraction and analysis of aerosol anomalies associated with multiple shallow earthquakes based on MODIS AOD products by Ping Lu, Xiao Gao, Zhixuan Xiong, Yu Shang

“…This work utilizes MODIS AOD retrievals and a background field–based Robust Satellite Technique (RST) algorithm to detect AOD anomalies linked to 14 global shallow-focus earthquakes using a 2σ threshold, followed by statistical significance testing (p < 0.05). …”
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The Spatial Distribution and Driving Mechanism of Soil Organic Matter in Hilly Basin Areas Based on Genetic Algorithm Variable Combination Optimization and Shapley Additive Explana... by He Huang, Yaolin Liu, Yanfang Liu, Zhaomin Tong, Zhouqiao Ren, Yifan Xie

“…This study takes Lanxi City as an example and comprehensively considers soil formation factors such as climate, vegetation, and terrain. Based on the genetic algorithm, 47 environmental variables are combined and optimized to construct a random forest (RF) model and an improved version—a random forest model based on genetic algorithm variable combination optimization (RF-GA). …”
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Uncertainty prediction of wind speed based on improved multi-strategy hybrid models by Xinyi Xu, Shaojuan Ma, Cheng Huang

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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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Exploring the role of PANoptosis related genes in the prognosis of oral squamous cell carcinoma subtypes based on multi-omics analysis by Yang Liu, Lingdu Wen, Lijuan Yan, Zifeng Cui

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Role of mass spectrometry-based serum proteomics signatures in predicting clinical outcomes and toxicity in patients with cancer treated with immunotherapy by Young Kwang Chae, Emma Yu, Na Hyun Kim, Min Jeong Kim, Leeseul Kim, Hyung-Gyo Cho, Yeonggyeong Park, Yoonhee Choi, Seung Pyo Daniel Hong

“…Here, we focus on the role of serum-based proteomic tests in predicting the response and toxicity of immunotherapy. …”
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A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter by LYU Gexing, ZHU Qi

“…In order to improve the reliability of the estimation, different from the traditional parameter identification algorithm based on gradient descent, the genetic algorithm is used to search for the optimal value in the range of health parameter and estimate the real parameter. …”
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Estimation of Lithium-Ion Battery SOC Based on IFFRLS-IMMUKF by Xianguang Zhao, Tao Wang, Li Li, Yanqing Cheng

“…It plays a significant role in determining driving range, ensuring operational safety, and extending the service life of battery energy storage systems. …”
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Clustering of listed stock exchange companies active in the cement using the FPC clustering algorithm by Leila Safari-monjeghtapeh, Mansour Esmaeilpour

“…Subsequently, these companies are categorized based on two criteria: profitability percentage and short-term and long-term price fluctuations, using the FPC clustering algorithm and the classification above algorithms. …”
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Microvascular tissue transfer in reconstruction of anterior skull base defects secondary to sinonasal malignancies: a case series and proposed reconstructive framework by Nikhil Prasad, Kripa Shankar Mishra, Rajan Arora, Anchit Kumar, Samarth Gupta, Sourav Sarkar

“…This paper underscores a reconstructive algorithm for managing extensive anterior skull base defects using microvascular free tissue transfer.…”
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