A Study of NEWS Vital Signs in the Emergency Department for Predicting Short- and Medium-Term Mortality Using Decision Tree Analysis by Serena Sibilio, Gianni Turcato, Bastiaan Van Grootven, Marta Ziller, Francesco Brigo, Arian Zaboli

“…Decision tree analysis (CHAID algorithm) was used to identify predictors of mortality; 10-fold cross-validation was applied to avoid overfitting. …”
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Deep learning-based technique for investigating the behavior of MEMS systems with multiwalled carbon nanotubes and electrically actuated microbeams by Muhammad Amir, Jamshaid Ul Rahman, Ali Hasan Ali, Ali Raza, Zaid Ameen Abduljabbar, Husam A. Neamah

“…The primary aim of this study is to investigate the nonlinear vibration properties of MEMS oscillators, specifically those related to nanotubes and electrically actuated microbeams, using DNN algorithms. Different optimizers are used to analyze the performance and capability of these non-linear dynamical models. …”
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A CT-based machine learning model for using clinical-radiomics to predict malignant cerebral edema after stroke: a two-center study by Lingfeng Zhang, Gang Xie, Yue Zhang, Yue Zhang, Junlin Li, Junlin Li, Wuli Tang, Wuli Tang, Ling Yang, Ling Yang, Kang Li

“…Ultimately, the efficacy of these models was evaluated by measuring the operating characteristics of the subjects through their area under the curve (AUCs).ResultsLogistic regression (LR) was found to be the most effective machine learning algorithm, for forecasting the MCE. …”
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Predicting weather-related power outages in large scale distribution grids with deep learning ensembles by L. Prieto-Godino, C. Peláez-Rodríguez, J. Pérez-Aracil, J. Pastor-Soriano, S. Salcedo-Sanz

“…Diversity is ensured by training each model with slightly different randomly sampled data. Three information fusion techniques construct the final ensemble models. …”
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Conflict-based model predictive control for multi-agent path finding experimentally validated on a magnetic planar drive system by Kai Janning, Abdalsalam Housin, Christopher Schulte, Frederik Erkens, Luca Frenken, Laura Herbst, Bastian Nießing, Robert H. Schmitt, Robert H. Schmitt

“…The focus is on the development of a motion planning algorithm and its validation in dynamic environments, which are becoming increasingly relevant in modern adaptive production sites.ResultsOn the MAS demonstrator with four active agents, ten different scenarios were created with varying degrees of complexity in terms of route planning. …”
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Water depth inversion based on ICESat-2 and Sentinel-2—A case study of Qiagui Co and Ayakekumu Lake on the Tibetan Plateau by Baojin Qiao, Tianjiao Du, Jianting Ju, Liping Zhu

“…An improved OPTICS denoising algorithm was applied to extract lake water depths from the ICESat-2 data. …”
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem by Lamees Mohammad Dalbah, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Raed Abu Zitar

“…The modifications for CHIO are accomplished by modifying its operators to preserve the solution feasibility for this type of vehicle routing problems. To evaluate the modified CHIO, two sets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMP data set which has 27 instances with different models. …”
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A novel stability-indicating chromatographic quantification of the antiparkinsonian drug safinamide in its pharmaceutical formulation employing HPTLC densitometry and ion-pair HPLC... by Engy A. Ibrahim, Samah S. Saad, Maha A. Hegazy, Laila E. Abdel Fattah, Hoda M. Marzouk

“…In addition, the innovative concepts of "blueness" and "whiteness" evaluation were incorporated through the newly introduced BAGI and RGB12 algorithms, respectively.…”
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Design optimization and generating characteristics of a linear arc PM vernier machine for wave energy conversion system by Urooj Jadoon, Faisal Khan, Salar Ahmad Khalil, Hatim Alwadie, Adoalateef Alzhrani

“…Comparison analysis for evaluating performance metrics has been investigated for different stake lengths. …”
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Impacts of Wind Assimilation on Error Correction of Forecasted Dynamic Loads from Wind, Wave, and Current for Offshore Wind Turbines by Jing Zou, Shuai Yang, Xiaolei Liu, Hang Wang, Lu Liu, Xingsen Guo, Hong Zhang, Zhijin Qiu, Zhipeng Gai

“…Four groups of forecasting tests were conducted to evaluate the model’s performance under different strategies and to assess the impact of atmospheric assimilation on improving dynamic load forecasts. …”
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A refined SMR-DeepLabV3+ model for cultivated land extraction from cross-view imagery using an attention mechanism by Zheng Fang, Yuhang Gong, Heli Zhu, Canyang Shi, Zhijia Gong, Lin Tian

“…This paper introduces a new algorithm, SMR-DeepLabV3+, which integrates an attention mechanism into the DeepLabV3+ model, along with regularization enhancements. …”
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Aerodynamic analysis and ANN-based optimization of NACA airfoils for enhanced UAV performance by Sanan H. Khan, Mohd Danish, Md. Ayaz, Afsar Husain, Shamma Saeed, Shamma Abdulla, Shama Shaheen, Alia Saeed, Ahmed Thaher

“…This study analyzed three National Advisory Committee for Aeronautics (NACA) airfoil profiles: NACA 2412, NACA 4415, and NACA 0012, using a combination of computational fluid dynamics (CFD), XFOIL simulations, and a hybrid artificial neural network-genetic algorithm (ANN-GA) model. This study aimed to evaluate and optimize the aerodynamic performance of these airfoils under various flight conditions. …”
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Comparative Analysis of Audio Features for Unsupervised Speaker Change Detection by Alymzhan Toleu, Gulmira Tolegen, Rustam Mussabayev, Alexander Krassovitskiy, Bagashar Zhumazhanov

“…This study examines how ten different audio features, including MFCC, mel-spectrogram, chroma, and spectral contrast etc., influence speaker change detection (SCD) performance. …”
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From Simulation to Implementation: A Systems Model for Electric Bus Fleet Deployment in Metropolitan Areas by Ludger Heide, Shuyao Guo, Dietmar Göhlich

“…The framework employs empirical energy models, graph-based scheduling algorithms, and integer linear programming for depot assignment and smart charging. …”
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Understanding Fluctuations in Public Opinion toward COVID-19 Vaccines: Insights from Social Media Analysis by Hafiz Farooq Ahmad, Areeba Azhar, Abdulelah Algosaibi, Jamil Hussain

“…The proposed framework collects and processes data from social media networks, particularly Twitter, before presenting various analytics based on the different analyses performed through machine learning and deep learning algorithms. …”
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Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

“…E calculated by DTS was chosen as the target value for prediction. Different machine learning algorithms were selected, optimizing parameters to achieve the best performance for each algorithm. …”
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Using individual tractor wheel drive through electric traction by А. V. Bizhaev, S. M. Vetrova, A. S. Barchukova, N. S. Krivyh

“…(Materials and methods) A concept for controlling individual wheel drives has been developed, as well as an algorithm specifically for managing electric wheels. …”
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Reduced incidence of maternal health conditions associated with the home-based newborn care intervention package in Rural Gadchiroli, India: a 13 years before – after comparison by Anand A Bang, Abhay T Bang, Rani Bang, Mahesh Deshmukh, Kalindi Soni, Sanjay Baitule

“…Based on these symptoms and signs, a computer algorithm diagnosed 20 different maternal health conditions. …”
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Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine by Ibrahim Shomope MS, Kelly M. Percival BS, Nabil M. Abdel Jabbar PhD, Ghaleb A. Husseini PhD

“…The type of algorithm employed to predict drug release from liposomes plays an important role in affecting the accuracy. …”
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Cost-effectiveness analysis of best management practices for non-point source pollution in watersheds: A review by CHANG Jian, YU Jie, WANG Fei’er, ZHENG Siyuan

“…Application of cost-effectiveness analysis method included three categories, coupling NPS model with empirical calculation methods, coupling NPS model with economic model and cost-effectiveness analysis based on optimization algorithm. Besides, the limitations were discussed based on differences of time and space scale in coupling models and uncertainty issues.In the future, as the cost- effectiveness analysis of BMPs is related to various aspects of environmental, economic and social factors, on the one hand, more comprehensive agricultural economic database and water quality database should be built and fully validated, to reduce the uncertainty in the process of simulation. …”
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