Financial development, research in finance, and economic growth by Chadi Azmeh, Marwan Al-Raeei

“…Additionally, it uncovers a dynamic between financial stability and research quality, suggesting that while high-quality research may initially challenge stability, it ultimately supports enduring financial stability and economic growth. …”
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Bio-inspired clustering scheme for Internet of Drones application in industrial wireless sensor network by Farooq Aftab, Ali Khan, Zhongshan Zhang

“…The proposed scheme shows better results as compared to other bio-inspired clustering algorithms on the basis of evaluation benchmarks such as cluster building time, network energy consumption, cluster lifetime, and probability of successful delivery. …”
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Bayesian Regularization Backpropagation Neural Network for Glass Beams in Lateral–Torsional Buckling by Saddam Hussain, Chiara Bedon, Gaurav Kumar, Zaheer Ahmed

“…Additionally, the Bayesian regularization backpropagation (trainbr) algorithm is used to optimize the input–output relationship accuracy. …”
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Learning in presence of class imbalance and class overlapping by using one-class SVM and undersampling technique by Debashree Devi, Saroj K. Biswas, Biswajit Purkayastha

“…A data level approach is adapted with one-class SVM-based anomaly detection to detect the cases of data overlapping while an adapted Tomek-link undersampling algorithm is defined to treat both overlapped and imbalanced cases. …”
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Legendre Cooperative PSO Strategies for Trajectory Optimization by Lei Liu, Yongji Wang, Fuqiang Xie, Jiashi Gao

“…Finally, in the numeral simulations, compared with the ordinary PSO and other typical intelligent optimization algorithms GA and DE, the proposed LCPSO has traits of lower dimension, faster speed of convergence, and higher accuracy, while providing smoother control variables.…”
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Acoustic Source Localization Based on the Two-Level Data Aggregation Technology in a Wireless Sensor Network by Yuwu Feng, Guohua Hu, Lei Hong

“…Then, a nonlinear iterative weighted least squares algorithm is applied to complete the final acoustic source location estimation based on the real remaining sensor measurements. …”
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Design and Verification of Multiphase Multilevel Traction Inverter by Patrik Resutík, Michal Praženica, Slavomír Kaščák

“…Tests performed proved that the designed converter was operating reliably and efficiently. While a simple Sinusoidal Pulse Width Modulation (SPWM) control algorithm has been implemented, the overall performance of the inverter showed great promise for higher-power applications. …”
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Aggregating Contextual Information for Multi-Criteria Online Music Recommendations by Jieqi Liu

“…On the CAL500 dataset, CAMCMusic outperforms the FM algorithm by 11.9% in precision, 16.4% in recall, and 20% in F1-Score. …”
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The The effect of antiviral treatment on SARS-CoV-2 infectious disease progression: A comparison of the multi-state models by Nihan Potas

“…Some of these individuals were able to access treatment and some could not, but for a while there was complete uncertainty. It is not known whether those who accessed treatment were lucky, but treatment was based on trial and error because of this uncertainty around the world until data was collected. …”
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Taiwanese Dermatological Association consensus for the diagnosis and management of prurigo nodularis by Cheng-Che E. Lan, Wen-Hung Chung, Yang-Yi Chen, Pa-Fan Hsiao, Yu-Ping Hsiao, Chih-Hung Lee, Tzu-Kai Lin, Hsing-San Yang

“…Prurigo nodularis (PN) is a chronic neuroinflammatory skin disease that, while considered rare, is likely underestimated. …”
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Dynamic Large-Scale Server Scheduling for IVF Queuing Network in Cloud Healthcare System by Yafei Li, Hongfeng Wang, Li Li, Yaping Fu

“…To solve this model, a reinforcement learning (RL) algorithm is proposed, where the reward functions are designed for four conflicting subcosts: setup cost, patient waiting cost, penalty cost for unsatisfied patient personal preferences, and medical cost of patient. …”
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Anti-disturbance predictive control for path tracking of unmanned agricultural vehicles based on safety distance by HUANG Zhenzhen, SUN Jinlin, DING Shihong

“…Subsequently, an automatic optimization algorithm for the reference point of the agricultural vehicle is designed to prevent excessive steering during path tracking. …”
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GARMT: Grouping-Based Association Rule Mining to Predict Future Tables in Database Queries by Peixiong He, Libo Sun, Xian Gao, Yi Zhou, Xiao Qin

“…We propose a grouping-based approach (GARMT) that partitions SQL queries into fixed-size groups and applies a modified FP-Growth algorithm (GFP-Growth) to identify frequent table access patterns. …”
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KICA-DPCA-Based Fault Detection of High-Speed Train Traction Motor Bearings by Yunkai Wu, Yu Tian, Yang Zhou

“…Firstly, DPCA is utilized to thoroughly extract fault information from the dataset while simultaneously achieving the purpose of noise reduction. …”
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Assessment of the application of each multibeam echosounder data product for monitoring of Laminaria digitata in the UK by Jacob Berry, Cassandra Nanlal

“…An image-based processing methodology using a random forests algorithm was used to generate classification models, which were trained and tested using ground truth samples obtained through video imagery. …”
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Concrete Creep Prediction Based on Improved Machine Learning and Game Theory: Modeling and Analysis Methods by Wenchao Li, Houmin Li, Cai Liu, Kai Min

“…Therefore, in this study, three machine learning (ML) models, a Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting Machine (XGBoost), are constructed, and the Hybrid Snake Optimization Algorithm (HSOA) is proposed, which can reduce the risk of the ML model falling into the local optimum while improving its prediction performance. …”
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Reliability-Based Optimization of Impeller Structure Using Exponential Function Approximation by Haiwei Lin, Yiqun Ren, Hong Bao, Feng Zhang, Feifei Zhao, Xiya Bao

“…The results indicate that the proposed method can provide significantly improved computational efficiency while maintaining optimization accuracy comparable to that obtained by traditional double-loop optimization methods. …”
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Safe and Robust Binary Classification and Fault Detection Using Reinforcement Learning by Josh Netter, Kyriakos G. Vamvoudakis, Timothy F. Walsh, Jaideep Ray

“…In this paper, we propose a learning-based method utilizing the Soft Actor-Critic (SAC) algorithm to train a binary Support Vector Machine (SVM) classifier. …”
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A general two-group constants estimator for 17x17 PWR assembly configurations using artificial neural networks by Gökhan Pediz, M. Alim Kırışık

“…Users can input arbitrary assembly specifications to the trained ANN, enabling the instant generation of group constants while avoiding the high computational cost of neutron transport calculations. …”
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Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar by Zhenhua Liu, Wei Liang, Ning Fu, Liyan Qiao, Jun Zhang

“…The results show that the proposed method can achieve interference suppression while accurately estimating the angle parameter of the target.…”
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