Technical note: Evolution of convective boundary layer height estimated by Ka-band continuous millimeter wave radar at Wuhan in central China by Z. Zhang, Z. Zhang, Z. Zhang, K. Huang, K. Huang, K. Huang, F. Yi, F. Yi, F. Yi, W. Cheng, F. Liu, F. Liu, F. Liu, J. Zhang, Y. Jia

“…Although these algorithms are based on different dynamic and thermodynamic effects, the diurnal evolution of the CBLH from MMCR is generally consistent with that from lidar, except for a few hours post-sunrise and pre-sunset due to the influence of the aerosol residual layer on the lidar RCS. …”
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A Differential-Evolution-Based Approach to Extract Univariate Decision Trees From Black-Box Models Using Tabular Data by Rafael Rivera-Lopez, Hector G. Ceballos

“…Our method employs two differential evolution algorithm variants, focusing on building univariate decision trees to enhance model explainability. …”
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Association between types of surgery and cancer-specific death in patients with early differentiated thyroid carcinoma: a real-world study by Jia-wei Yu, Rui Pang, Bo Liu, Liang Zhang, Ling-yu Kong

“…We also used the machine learning algorithm to evaluate the importance of types of surgery on long-term outcomes.ResultsA total of 7,230 patients were enrolled, of whom 1,512, 249, and 5,469 patients received Surgery 1, Surgery 2, and Surgery 3, respectively. …”
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CT-based radiomics features for the differential diagnosis of nodular goiter and papillary thyroid carcinoma: an analysis employing propensity score matching by Haiming Zhang, Zhenyu Li, Fengtao Zhang, Hengguo Li

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MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures by Wenhua Liang, Hong Yu, Lisha Duan, Xiaona Li, Ming Wang, Bing Wang, Jianling Cui

“…Among all these models, the DLR model that employed ExtraTrees algorithm performed the best, with area under the curve (AUC) values of 0.971 (95% CI: 0.948-0.995) in the training dataset and 0.828 (95% CI: 0.727-0.929) in the testing dataset. …”
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Confidence of comments evaluated for Web service based on difference-induced by Qingbo GONG, Jun NIU, Xiuting SUN, Kui WANG

“…Historical comments of requestors provide important references for Web service selections.However，the information is subjective.An approach to evaluate the confidence of the comments through differential induction based on data of objective QoS（quality of service）and subjective score of comments was proposed.Firstly，the similarity relation between requestors was judged，according to different values of QoS produced by the same service invoked by more than one requestor.Then，the evaluation algorithm of confidence was built based on previous similarity relation and the subjective score of the corresponding requestor.Finally，the balanced factor of confidence formed by the algorithm assessed whether the comments from requestors are reliable.Algorithm analysis and experimental results show that the method is feasible and effective.…”
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A bi-subpopulation coevolutionary immune algorithm for multi-objective combinatorial optimization in multi-UAV task allocation by Xi Chen, Yu Wan, Jingtao Qi, Zipeng Zhao, Yirun Ruan, Jun Tang

“…Therefore, this paper constructs a Multi-objective Combinatorial Optimization in Multi-UAV Task Allocation Problem (MCOTAP) model, and proposes a Bi-subpopulation Coevolutionary Immune Algorithm (BCIA). The two coevolutionary mechanisms improve the lower limit of population diversity, and the evolutionary strategy pool integrating multiple strategies and the adaptive strategy selection mechanism enhance the local search ability in the late evolution. …”
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Intersection numbers from companion tensor algebra by Giacomo Brunello, Vsevolod Chestnov, Pierpaolo Mastrolia

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Towards 4D CT in Additive Manufacturing: Evaluating Algorithmic Limitations and Opportunities for Industrial Non-Destructive Testing by Nadine Mönter, Katharina Bliedtner, Frank Herold

“…This work aims to lay a solid foundation for reliably extending the algorithm to dynamic states, with the ultimate goal of determining dynamic material properties, e.g., draw conclusions on the Wöhler curve by time-resolved investigation of pore evolution. …”
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Design Exploration of the NACA Airfoil Family Using High-Fidelity CFD Analysis by Mihai-Vladut HOTHAZIE, Daniel-Eugeniu CRUNTEANU, Mihai-Victor PRICOP, Ionut BUNESCU, Mara-Florina NEGOITA, Mihaita-Gilbert STOICAN

“…To identify optimal airfoil configurations, two evolutionary algorithms are utilized: the Genetic Algorithm (GA) and the Differential Evolution Algorithm (DE). …”
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APPROACH OF PROCESSING, CLASSIFICATION AND DETECTION OF NEW CLASSES AND ANOMALIES IN HETEROGENIOUS AND DIFFERENT STREAMS OF DATA by R. A. Bagutdinov

“…The level of false positives in the developed algorithm is rather low and can be considered insignificant. …”
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CLDP-pFedAvg: Safeguarding Client Data Privacy in Personalized Federated Averaging by Wenquan Shen, Shuhui Wu, Yuanhong Tao

“…Furthermore, we provide a convergence analysis of the clipping-enabled differentially private meta-based FedAvg algorithm. The proposed strategy is evaluated across various datasets, and the findings indicate that our approach offers improved privacy protection while maintaining model accuracy.…”
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Evaluating the Stability of Numerical Schemes for Fluid Solvers in Game Technology by Craig R. Stark, Declan A. Diver

“…However, determining the stability of a numerical algorithm is a complex and involved task when a coupled set of nonlinear partial differential equations need to be solved. …”
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An Adaptive Parameter Evolutionary Marine Predators Algorithm for Joint Resource Scheduling of Cooperative Jamming Networked Radar Systems by Dejiang Lu, Siyi Cheng, You Chen, Xi Zhang, Haoyang Li, Tianjian Yang

“…Considering the scene constraints, an Improved Adaptive Parameter Evolution Marine Predators Algorithm is designed as an optimizer and embedded in the proposed framework to jointly optimize the platform beam allocation and jamming mode selection. …”
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Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data by P. A. Khmarskiy

“…The aim of this study was to develop and experimentally validate an algorithm for automatic selection of filter frequency characteristics and detection threshold in order to enhance the accuracy and reliability of gait phase detection. …”
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A Power Control Algorithm for V2V Communication Networks Based on Dynamic Multi-Objective Optimization by Mengyu Ma, Zihao Gu, Chao Wang, Zuxing Li, Jianyao Hu, Fuqiang Liu

“…We propose a prediction-based dynamic multi-objective optimization evolutionary algorithm (DMOEA) that facilitates the evolution of the solution population by predicting the centroid of the power allocation decision set in a new environment, so that transmission decisions can be made to adapt to the highly dynamic environment. …”
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Identification of Biomarkers Associated with Heart Failure Caused by Idiopathic Dilated Cardiomyopathy Using WGCNA and Machine Learning Algorithms by Mengyi Sun, Linping Li

“…Candidate genes were identified by intersecting the key module genes identified via WGCNA with DEGs and further screened via the support vector machine-recursive feature elimination (SVM-RFE) method and the least absolute shrinkage and selection operator (LASSO) algorithm. At last, the biomarkers were validated and evaluated the diagnostic efficacy by the area under curve (AUC) value and further confirmed the differential expression in the IDCM-HF and NF groups using an external database. …”
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Integrated Machine Learning Algorithms-Enhanced Predication for Cervical Cancer from Mass Spectrometry-Based Proteomics Data by Da Zhang, Lihong Zhao, Bo Guo, Aihong Guo, Jiangbo Ding, Dongdong Tong, Bingju Wang, Zhangjian Zhou

“…By processing and normalizing serum polypeptide differential peaks from 240 patients, we employed eight distinct ML algorithms to classify and analyze these differential polypeptide peaks, subsequently constructing receiver operating characteristic (ROC) curves and confusion matrices. …”
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Combining and congruence evaluation of phylogenetic signals from different genes based on geometric approach by V. M. Efimov, V. Yu. Kovaleva, Yu. N. Litvinov

“…A new Euclidean distance based algorithm is used for analysis of congruence and combining molecular genetic data. …”
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RWOA: A novel enhanced whale optimization algorithm with multi-strategy for numerical optimization and engineering design problems. by Junhao Wei, Yanzhao Gu, Baili Lu, Ngai Cheong

“…Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …”
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