Lightning-induced vulnerability assessment in Bangladesh using machine learning and GIS-based approach by Tanmoy Mazumder, Md. Mustafa Saroar

“…By analyzing spatiotemporal patterns of lightning and casualties, and incorporating meteorological, geographical, and socio-economic factors into ML models (Random Forest, Multinomial Logistic Regression, Support Vector Machine, and Artificial Neural Networks), this research provides a nuanced understanding of lightning impacts. …”
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AI-powered smart emergency services support for 9-1-1 call handlers using textual features and SVM model for digital health optimization by Afraa Attiah, Manal Kalkatawi

“…The second phase also deals with emergency categorization using a support vector machine (SVM) learning model to prioritize the emergency dealing with an accuracy of 92.7%. …”
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Conceptual Design and Computational Modeling Analysis of a Single-Leg System of a Quadruped Bionic Horse Robot Driven by a Cam-Linkage Mechanism by Liangwen Wang, Weiwei Zhang, Caidong Wang, Fannian Meng, Wenliao Du, Tuanhui Wang

“…After a brief introduction on the quadruped bionic horse robot, the structure and working principle of a single-leg system are discussed in detail. …”
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Building a composition-microstructure-performance model for C–V–Cr–Mo wear-resistant steel via the thermodynamic calculations and machine learning synergy by Shuaiwu Tong, Shuaijun Zhang, Chong Chen, Tao Jiang, Peng Li, Shizhong Wei

“…By using phase content and experimental parameters as input features, the Gradient Boosted Tree model and Support Vector Regression model demonstrated strong applicability in predicting frictional performance and wear, respectively. …”
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SAPEVO-H² Multi-Criteria Modelling to Connect Decision-Makers at Different Levels of Responsibility: Evaluating Sustainability Projects in the Automobile Industry by Miguel Ângelo Lellis Moreira, Maria Teresa Pereira, Igor Pinheiro de Araújo Costa, Carlos Francisco Simões Gomes, Marcos dos Santos

“…This study introduces the SAPEVO-H² method (Simple Aggregation of Preferences Expressed by Ordinal Vectors—Hybrid and Hierarchical), an extensive model from the SAPEVO family, which offers multi-criteria analysis through a hierarchical structure of variables evaluated by groups partitioned into levels concerning their respective responsibilities. …”
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STRATEGY OF SME’s DEVELOPMENT IN INDUSTRY AND ENGINEERING by DARYA LEGEZA, YANA SOKIL, TETIANA KULISH

“…Based on the analysis, the strategy of industry of development have four vectors such as Technological progress in value-added chains, Qualified staff and prestigious work, Cooperation of enterprises and stakeholders in value-added chains, Entry and strengthening positions at foreign markets.…”
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Machine Learning-Based Prediction Performance Comparison of Marshall Stability and Flow in Asphalt Mixtures by Muhammad Farhan Zahoor, Arshad Hussain, Afaq Khattak

“…The potential of various machine learning (ML) algorithms to predict Marshall Stability (MS) and Marshall Flow (MF) was investigated in this work. We collected data from published studies in the literature encompassing 732 data points to train and evaluate ML models. …”
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Cerebrospinal Fluid Leakage Combined with Blood Biomarkers Predicts Poor Wound Healing After Posterior Lumbar Spinal Fusion: A Machine Learning Analysis by Pang Z, Ou Y, Liang J, Huang S, Chen J, Huang S, Wei Q, Liu Y, Qin H, Chen Y

“…The top six models from the eight machine learning models with the highest area under curve (AUC) values were selected and used to construct a dynamic nomograms model. …”
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Very high frequency radio receiver preselector design by E. V. Gurov, S. U. Uvaysov, V. V. Chernoverskaya, R. M. Uvaysov

“…Experimental results were obtained by prototype implementation and measurement with a vector network analyzer. The purpose of the work is to ensure the required preselector characteristics in the design process based on computer simulation.Results. …”
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CIVIL SUBJECTIVITY OF YOUTH: FROM CONCEPTUAL ANALYSIS TO ASSESSING AND IMPROVING THE SITUATION by I. A. Simonova

“…Based on the qualitative data received, major challenges of civil subjectivity of the respondents are described, and the main vectors of transformation in the field of work with youth are determined. …”
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Assimilating water level observations with the ensemble optimal interpolation scheme into a rainfall‐runoff‐inundation model: A repository‐based dynamic covariance matrix generatio... by Manoj Khaniya, Yasuto Tachikawa, Takahiro Sayama

“…The vectors are later sampled during the assimilation step, based on their closeness to the model forecast (calculated using vector norm). …”
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Some comments on the assessment of students’ knowledge at the University by Darya I. Yareshchenko

“…This article is devoted to the study and modeling of the process of acquiring knowledge by students at the University. …”
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Methods for state of health estimation for lithium-ion batteries: An essential review by Rhdifa Houda, Ammar Abderazzak, Bouattane Omar

“…Thus, two examples are presented for each method: neural networks (NN) and support vector machines (SVM) for data-driven, the combination of variable forgetting factor recursive least squares (VFF-RLS) with adaptive unscented Kalman filter (AUKF) and particle swarm optimization (PSO), genetic algorithm (GA), particle filter (PF), recursive least squares (RLS) for model-based method to show how each method is applied. …”
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Does Exchange Rate Volatility Affect the Bank Lending Channel? by Burak Buyun

“…Thus, we aim to obtain an important finding on why the bank lending channel works weakly in Turkey. To test this hypothesis, the Vector Auto Regression (VAR) model is used for the period January 2011- September 2023. …”
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Analysis of Meshing Contact Characteristics of the Gear Transmission System Based on Data Mining Technology by Li Shengjia, Ma Yali, Zhao Yongsheng, Pu Dajun, Yan Shidang

“…The results show that the prediction error of the prediction model based on support vector machine is the smallest, and the average absolute percentage error is 3.87%, which is far less than the theoretical calculation error. …”
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An analytical examination of the performance assessment of CNN-LSTM architectures for state-of-health evaluation of lithium-ion batteries by Arun Jose, Sonam Shrivastava

“…Further validation was achieved by determining the battery parameters through a cost-effective hardware prototype. Various learning models were employed to analyze the data obtained from this hardware, with the support vector machine-based model delivering the most accurate results, showing an error rate of .48 percent. …”
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Dimensional Analysis and Optimization of 3-DOF Parallel Bionic Mechanical Leg by Wang Xiaolei, Jin Zhenlin, Li Xiaodan, Liu Xiang

“…The dimension synthesis and optimization about the mechanical leg structure is completed. The position vector model of the mechanical legs is established. …”
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Youth as a Subject and Object of State Youth Policy: Problematic Aspects of the Concept by I. S. Alekhina, N. G. Putrya

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Measuring the polarization of boosted, hadronic W bosons with jet substructure observables by Songshaptak De, Vikram Rentala, William Shepherd

“…Abstract In this work, we present a new technique to measure the longitudinal and transverse polarization fractions of hadronic decays of boosted W bosons. …”
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A fair and efficient two-step procedure for sugarcane properties prediction based on near-infrared spectra by Luiz Alexandre Peternelli, Andréa Carla Bastos Andrade, Cristina Silva Dias, Reinaldo Francisco Teófilo

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