Fast grouping fusion method of dual carbon monitoring data based on DBSCAN clustering algorithm by Rui Ma, Jiangbo Sha, Shuang Zhang, Dongge Zhu, Wenni Kang, Jia Liu

“…Variance estimation learning algorithm achieves weighted fusion of data from sensors within the group. …”
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On the Hybrid Algorithm for Retrieving Day and Night Cloud Base Height from Geostationary Satellite Observations by Tingting Ye, Zhonghui Tan, Weihua Ai, Shuo Ma, Xianbin Zhao, Shensen Hu, Chao Liu, Jianping Guo

“…Most existing cloud base height (CBH) retrieval algorithms are only applicable for daytime satellite observations due to their dependence on visible observations. …”
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Research on Prediction model of Carotid‐Femoral Pulse Wave Velocity: Based on Machine Learning Algorithm by Minghui Chen, Jing Xiong, Moran Li, Tao Hu, Yi Zhang

“…The linear regression models demonstrated low root mean square error (RMSE), error term (ε), and R2 values, indicating good predictive performance. …”
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Injection augmentation and endoscopic repair of type 1 laryngeal clefts: development of a management algorithm by Andre Isaac, Orysya Svystun, Wendy Johannsen, Hamdy El-Hakim

“…We propose a management algorithm that includes reasoning for conservative approaches, and reduces exposure to general anesthesia.…”
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A Survey on the Application of Evolutionary Algorithms for Mobile Multihop Ad Hoc Network Optimization Problems by D. G. Reina, P. Ruiz, R. Ciobanu, S. L. Toral, B. Dorronsoro, C. Dobre

“…Evolutionary algorithms are metaheuristic algorithms that provide quasioptimal solutions in a reasonable time. …”
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A Systematic Model of an Adaptive Teaching, Learning and Assessment Environment Designed Using Genetic Algorithms by Doru Anastasiu Popescu, Nicolae Bold, Michail Stefanidakis

“…., trees, chromosomes and genes, and genetic operators) and algorithms (graph-based, evolutionary, and genetic) in the automated generation of educational assessment tests. …”
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Study on the probabilistic characteristics of forces in the support structure of heliostat array based on the DBO-BP algorithm by Haiyin Luo, Qiwei Xiong, Xuewen Zhang, Shi Zuo

“…Neural network models trained using the DBO and BP algorithm are employed to calculate force coefficients. …”
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A Q-Learning Proposal for Tuning Genetic Algorithms in Flexible Job Shop Scheduling Problems by Christian Perez, Carlos March, Miguel A. Salido

“…In this work, we propose a Reinforcement Learning approach for fine-tuning Genetic Algorithms in Flexible Job Shop Scheduling problems (FJSP), where the main parameters involved in the genetic algorithm operators are trained to allocate the most promising values. …”
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A systematic review of reinforcement learning-based control for microgrids: trends, challenges, and emerging algorithms by A. V. Waghmare, V. P. Singh, T. Varshney, P. Sanjeevikumar

“…Further, majorly implemented RL-based algorithms for microgrid control are discussed. Summary and critical assessment of main findings and contributions in this field are tabulated through methodical categorization of selected articles. …”
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Enhanced Heart Disease Diagnosis Using Machine Learning Algorithms: A Comparison of Feature Selection by Hirmayanti, Ema Utami

“…So in this study, it will be more focused on the selection of relevant features or attributes to increase the accuracy value of the Machine Learning algorithm. The algorithms used include Random Forest and SVM. …”
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Numerical Algorithm for Coupled Fixed Points in Normed Spaces with Applications to Fractional Differential Equations and Economics by Lifang Guo, Salha Alshaikey, Abeer Alshejari, Muhammad Din, Umar Ishtiaq

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A Novel Iterative-SLM Algorithm for PAPR Reduction in 5G Mobile Fronthaul Architecture by Mohammed I. Al-Rayif, Hussein Seleem, Amr Ragheb, Saleh Alshebeili

“…One of the main drawbacks of orthogonal frequency division multiplexing (OFDM) is the unpredictable significant increase in the peak-to-average power ratio (PAPR), due to the large dynamic range of the OFDM symbol waveforms. …”
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Analysis of the Comprehensive Evaluation Model of Enterprise Technological Innovation Ability Based on Improved Genetic Algorithm by Kuizhen Rong

“…The method combined with the genetic algorithm and the genetic algorithm in MATLAB and the direct search toolbox were employed to comprehensively charge the capabilities of the five sample enterprises, and the evaluation results were objective and credible.…”
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Conformal Array Pattern Synthesis Using a Hybrid WARP/2LB-MOPSO Algorithm by Roghieh Karimzadeh Baee, Keyvan Forooraghi, Somayyeh Chamaani

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A model for placing electric vehicle charging stations in megapolis based on the sparrow search algorithm by Sizhuo Du, D. V. Kapski

“…Based on this, this article examines the problem of placing charging stations for urban electric vehicles. First, the main factors of placing electric vehicle charging stations are analyzed from different points of view, a multi-purpose model for choosing the address of the charging station is built, an algorithmic model is proposed to improve the sparrow search algorithm as the basis for a specific solution method, and finally, the effect of applying the model and solution method is verified by analyzing examples. …”
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Critical Component Overheating Monitoring Algorithm Integrating Temperature-sensing Patches and Computer Vision Trains by SHU Dong, ZHANG Beijia, YANG Hongtai

“…Precise localization of temperature-sensing patches in images is achieved by optimizing the YOLOV3 algorithm with a binary k-means clustering algorithm and an attention mechanism. …”
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DV-DETR: Improved UAV Aerial Small Target Detection Algorithm Based on RT-DETR by Xiaolong Wei, Ling Yin, Liangliang Zhang, Fei Wu

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Moldrug algorithm for an automated ligand binding site exploration by 3D aware molecular enumerations by Alejandro Martínez León, Benjamin Ries, Jochen S. Hub, Aniket Magarkar

“…To illustrate Moldrug, we designed new potential inhibitors targeting the main protease (MPro) of SARS-CoV-2 by optimizing a consensus fitness function that balances binding affinity, drug-likeness, and synthetic accessibility. …”
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A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering by Bahman Arasteh, Peri Gunes, Asgarali Bouyer, Farhad Soleimanian Gharehchopogh, Hamed Alipour Banaei, Reza Ghanbarzadeh

“…This paper applied the horse herd optimization algorithm, a distinctive population-based and discrete metaheuristic technique, in clustering software modules. …”
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Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization by Buti Sello, Jianming Yong, Xiaohui Tao

“…One notable feature of this mechanism is its equitable node-selection algorithm, which ensures equal opportunities for all nodes to engage in block creation and validation. …”
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