Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…The research leverages a dataset of 1,000 English texts to evaluate and compare the performance of RFC, the Sooty Tern Optimization Algorithm (STOA), and the Gold Rush Optimizer (GRO) in predicting readability ratings. …”
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The study of thermodynamic mechanisms of advection-cooled sea fogs for two cases based on the WRF model by Xin-Ya Ye, Fei-Fei Shen, Fei-Fei Shen, Fei-Fei Shen, Hai-Yan Fei, Qi-Long Sun, Ai-Qing Shu, Shen Wan, He Chen

“…The accuracy of fog extent prediction was also evaluated using the FSL (based on relative humidity) and SW99 (based on cloud-water mixing ratio) visibility algorithms.ResultsBoth fog events were driven by advection cooling but exhibited distinct thermodynamic profiles. …”
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An Exploratory Research to Evaluate the 30 Most Common Pulmonary Embolism Drugs in the Food and Drug Administration Adverse Event Reporting System by Hang Chen, Yiming Shen, Yinyu Mu, Shuguang Xu, Shimo Shen, Weiyu Shen, Zeyang Hu, Hongxiang Li, Keyue Qiu, Jiaheng Zhang, Zhe Chen, Guodong Xu

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Meningococcal Vaccination in High-Risk Patients: A Systematic Approach to Evaluating Coverage and Patient Catch-Up Through Healthcare Databases by Rafael Ruiz-Montero, Álvaro Serrano-Ortiz, Mario Rivera-Izquierdo, Piedad Galvache Murillo-Rico, Ana Moñiz-Díez, María Ángeles Onieva-García, Eloy Girela-López, Inmaculada Salcedo-Leal

“…Our methodology can serve to identify patients in other regions and for different vaccines.…”
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Beyond Precision and Recall: Measuring Search Engine Consistency Using Rank Stability by Krishnan Batri, Rajermani Thinakaran, S. Lakshmi, R. Sowrirajan, Sivaram Murugan

“…Our three-component approach (Roverlap, Rnon-overlap, and Rcomprehensive) provides multidimensional insights into ranking variations. Experimental evaluation across Google and Bing using diverse query types reveals significant performance differences: Bing demonstrates superior ranking stability (minimum Roverlap of 0.0527), while Google exhibits considerable fluctuation (Rnon-overlap reaching 0.3653), especially for high-volume queries. …”
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Intelligent Network Selection Mechanisms in the Internet of Everything System by Indrasen Singh, Meenakshi Munjal

“…In the Internet of Everything (IoE) ecosystem, it is necessary for connected devices to move between different access points seamlessly. As IoE is deployed in diverse environments, such as smart cities, industrial settings, and vehicular networks, ensuring reliable connectivity and uninterrupted services across different networks becomes important. …”
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Solar Irradiance Prediction Method for PV Power Supply System of Mobile Sprinkler Machine Using WOA-XGBoost Model by Dan Li, Jiwei Qu, Delan Zhu, Zheyu Qin

“…The prediction accuracy and stability of the proposed method are then evaluated for different input parameters through training and testing. …”
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Bayesian Inference for Zero-Modified Power Series Regression Models by Katiane S. Conceição, Marinho G. Andrade, Victor Hugo Lachos, Nalini Ravishanker

“…Additionally, we introduce a measure of Bayesian efficiency to evaluate the impact of prior information on parameter estimation. …”
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RATIONAL COMPROMISE SEARCHING METHOD IN ONE CLASS OF MULTIOBJECTIVE OPTIMIZATION PROBLEM IN EVALUATION OF INDETERMINATE OBJECTIVES SET BY THE FUNCTIONS OF ONE VARIABLE by Oleh V. Borovyk, Liudmyla V. Borovyk, Mykola V. Krasovsky

“…The authors’ method of solving a certain class of problems in the defined limits of application has been proposed; its algorithmization and programming as well as its application evaluation based on various examples have been carried out.…”
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Comparison and Evaluation of Rain Gauge, CMORPH, TRMM PR and GPM DPR KuPR Precipitation Products over South China by Rui Wang, Huiping Li, Hao Huang, Liangliang Li

“…This study aims to provide valuable insights for enhancing precipitation retrieval algorithms and improving the applicability of remote sensing precipitation products.…”
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A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma by Qiulu Zhong, Xiangde Li, Qinghua Du, Qianfu Liang, Danjing Luo, Jiaying Wen, Haiying Yue, Wenqi Liu, Xiaodong Zhu, Jian Li

“…There has statistically significant difference between the two groups (P = 0.0037). RSF model constructed by machine-learning algorithm based on radiological dosimetric parameters and clinical characteristics can better predict the short-term efficacy of LANPC, and is an effective tool to evaluate the short-term efficacy of different LANPC patients during treatment.…”
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Network security threat warning method based on qualitative differential game by Shirui HUANG, Hengwei ZHANG, Jindong WANG, Ruiyu DOU

“…Most current network security research based on game theory adopts the static game or multi-stage dynamic game model,which does not accord with the real-time change and continuity of the actual network attack-defense process.To make security threats warning more consistent with the attack-defense process,the threat propagation process was analyzed referring to the epidemic model.Then the network attack-defense game model was constructed based on the qualitative differential game theory,by which the evolution of the network security state could be predicted.Based on the model,the qualitative differential game solution method was designed to construct the attack-defense barrier and divide the capture area.Furthermore,the threat severity in different security states were evaluated by introducing multidimensional Euclidean distance.By designing the warning algorithm,the dynamic warning of the network security threat was realized,which had better accuracy and timeliness.Finally,simulation results verify the effectiveness of the proposed algorithm and model.…”
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Testing of technique for seawater filtration at fish farms by Alexandra I. Fedorovа, Svetlana D. Ugryumova

“…Quality of the filtered water is evaluated by several parameters: temperature, coloration, turbidity, transparency, odor, flavor, foaminess, and salinity. …”
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Multipath intelligent transmission strategy for UAM dynamic networks by WANG Yuting, LENG Supeng, XIONG Kai

“…To further improve the adaptability of the routing algorithm to dynamic environments, an environmental validation mechanism was designed to evaluate the compatibility between current routing strategies and dynamic network, enabling self-adaptive adjustment of routing strategies during the transmission process. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…After integrating decomposition, use of entropy, algorithm optimization, and error correction models, eleven comparative experiments were established to evaluate the effectiveness of each optimization method. …”
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Improved K-means clustering and adaptive distance threshold for energy reduction in WSN-IoTs by Azamuddin Ab Rahman, Sakib Iqram Hamim

“…The proposed approach was evaluated against established protocols including Hybrid Energy-Efficient Distributed Clustering (HEED), Threshold-Sensitive Energy-Efficient Sensor Network (TEEN), and previous versions of the Energy Efficient Cluster and Routing (EECR) protocol under three different deployment scenarios. …”
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A multi-objective fuzzy optimization model for multi-type aircraft flight scheduling problem by Ming Wei, Shangwen Yang, Wei Wu, Bo Sun

“…Finally, a real airline scheduling example in China is conducted using CPLEX and the proposed heuristic algorithm to evaluate the difference between the proposed and traditional models. …”
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Adaptive Deep Reinforcement Learning for Efficient 3D Navigation of Autonomous Underwater Vehicles by Elena Politi, Artemis Stefanidou, Christos Chronis, George Dimitrakopoulos, and Iraklis Varlamis

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Performance Analysis and Improvement of Machine Learning with Various Feature Selection Methods for EEG-Based Emotion Classification by Sherzod Abdumalikov, Jingeun Kim, Yourim Yoon

“…The performance of each method was assessed. Two different EEG datasets, EEG Emotion and DEAP Dataset, containing 2548 and 160 features, respectively, were evaluated using random forest (RF), logistic regression, XGBoost, and support vector machine (SVM). …”
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Association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and angina pectoris in US adults: a cross-sectional retrospect... by Ying Cui, Mankyu Choi

“…Subgroup analyses indicated no significant differences across different stratifications (P > 0.05, all). …”
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