Search Results - best first three algorithm

Developing an Interpretable Machine Learning Model for Early Prediction of Cardiovascular Involvement in Systemic Lupus Erythematosus by Deng Z, Liu H, Chen F, Liu Q, Wang X, Wang C, Lyu C, Li J, Li T

“…Among seven evaluated algorithms, the Gradient Boosting Machine (GBM) demonstrated the best performance on the test set. …”
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Predicting the risk of lean non-alcoholic fatty liver disease based on interpretable machine models in a Chinese T2DM population by Shixue Bao, Qiankai Jin, Tieqiao Wang, Yushan Mao, Guoqing Huang

“…The random forest model demonstrated superior performance compared to alternative machine learning (ML) algorithms, achieving an AUC of 0.739 (95% confidence interval [CI]: 0.676–0.802) in the training set, and it also exhibited the best predictive value in the internal validation set with an AUC of 0.789 (95% CI: 0.722–0.856). …”
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Modelling Tyre-Road Noise with Data Mining Techniques by Elisabete Fraga FREITAS, Joaquim TINOCO, Francisco SOARES, Jocilene COSTA, Paulo CORTEZ, Paulo PEREIRA

“…The data modelling took into account three learning algorithms and three metrics to define the best predictive model. …”
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Methodology сomparative statistical analysis of Russian industry based on cluster analysis by Sergey S. Shishulin

“…At the same time, as a result of comparison of the results of application of cluster analysis to the initial data and data obtained on the basis of the principal components method, it was established that clustering industrial production data on the basis of new factors significantly improves the results of clustering.As a result of analyzing the parameters of data partitioning into clusters using k-means and hierarchical methods using different distances, it was determined that the best result is obtained when using a combination of these methods, when in the first stage the number of clusters is determined by analyzing the visualization of hierarchical algorithms (dendrogram construction) , On the basis of which the division by the method of k-means is made. …”
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Data‐driven designing on mechanical properties of biodegradable wrought zinc alloys by Zongqing Hu, Shaojie Li, Jianfeng Jin, Yuping Ren, Rui Hou, Lei Yang, Gaowu Qin

“…A notable optimized scheme for strength/plasticity synergy in Zn‐0.20Mg‐0.60Mn (wt.%) achieves the YS of 303 MPa, UTS of 354 MPa, and EL of 25.1% with the MAPE less than 10%, and exhibits the strain‐hardening response, associated with ER of 16, ET of 170°C, and ES of 3.21 mm/s. [Correction added on 13 May 2025, after first online publication: In the preceding sentence, the value ‘345 MPa’ has been changed to ‘354 MPa’. and the value ‘3.33 mm/s’ has been changed to ‘3.21 mm/s’].…”
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Assessment of flight fatigue using heart rate variability and machine learning approaches by Dalong Guo, Cong Wang, Yufei Qin, Lamei Shang, Aijing Gao, Baosen Tan, Yubin Zhou, Guangyun Wang

“…These models were applied to perform a three-level classification of flight fatigue. Finally, classification performance was evaluated using average accuracy, precision, recall, and F1 score. …”
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IM/DD-Based 112-Gb/s/lambda PAM-4 Transmission Using 18-Gbps DML by Chao Yang, Rong Hu, Ming Luo, Qi Yang, Cai Li, Haibo Li, Shaohua Yu

“…Chirp management is applied at the transmitter side to extend the reach to 1 km for transmission at 1500 nm. This is the first demonstration, to the best of our knowledge, that 112-Gb/s PAM-4 modulation is achieved using only a 18-GHz (3-dB-bandwidth) commercial directly modulated laser. …”
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Inverse Gravimetric Problem Solving via Prolate Ellipsoidal Parameterization and Particle Swarm Optimization by Ruben Escudero González, Zulima Fernández Muñiz, Antonio Bernardo Sánchez, Juan Luis Fernández Martínez

“…This approach enables efficient forward modeling with closed-form solutions and allows the incorporation of geometric and physical constraints. The algorithm is first validated on synthetic models with Gaussian noise, successfully recovering complex multi-body configurations with acceptable uncertainty. …”
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Selection of strawberry cultivars according to their productivity and berry quality using normalized indices by V. I. Lapshin, V. V. Yakovenko

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Immune Microenvironment Characterization and Machine Learning-Guided Identification of Diagnostic Biomarkers for Ulcerative Colitis by Zheng Q, Wang L, Zhang Y, Peng J, Hou J, Wang H, Ma Y, Tang P, Li Y, Li H, Chen Y, Li J, Chen Y

“…It employs machine learning algorithms to construct diagnostic models, including an optimal 8-gene model (GATA2, IL8, LAT, NOLC1, SMARCA5, SMC3, STX10, ZMIZ1), which demonstrates high predictive performance (AUC of 0.964 in training datasets and 0.884 in testing datasets). …”
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Cardiometabolic risk factors in predicting obstructive coronary artery disease in patients with non-ST-segment elevation acute coronary syndrome by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, E. D. Emtseva, A. A. Vishnevskiy

“…The quality metrics of the best predictive algorithm based on an ensemble of 10 MLR models were as follows: AUC — 0,82, specificity and accuracy — 0,73, sensitivity — 0,75. …”
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Enhancing wheat flour origin traceability by using laser-induced breakdown spectroscopy and Raman spectroscopy by Minghui Gu, Chao Liu, Hansong Huang, Xin Zhang, Jiguo Li, Qingbin Jiao, Liang Xu, Mingyu Yang, Xin Tan

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Trend equation prediction in medical and pharmaceutical studies (the example of respiratory diseases development in children in the region) by O. V. Zhukova, S. V. Kononova, T. M. Konyshkina

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Experimental Demonstration of Coherent Combining With Tip/Tilt Control Based on Adaptive Space-to-Fiber Laser Beam Coupling by Feng Li, Chao Geng, Guan Huang, Yan Yang, Xinyang Li, Qi Qiu

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Occlusion-Robust Multi-Target Tracking and Segmentation Framework with Mask Enhancement by Hao Sheng, Defa Zhang, Dazhi Yang, Da Yang, Xi Liu, Wei Ke

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New approaches for capturing and estimating variation in complex animal color patterns from digital photographs: application to the Eastern Box Turtle (Terrapene carolina) by Erik Maki, Tilmann Glimm, Paramahansa Pramanik, Ylenia Chiari, Maria Kiskowski

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Comparison Between Broadband and Personal Exposimeter Measurements for EMF Exposure Map Development Using Evolutionary Programming by Alberto Nájera, Rocío Sánchez-Montero, Jesús González-Rubio, Jorge Guillén-Pina, Ricardo Chocano-del-Cerro, Pablo-Luis López-Espí

“…We evaluated different possibilities to obtain the best equivalence of measurements between both devices. …”
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YOLO-SBA: A Multi-Scale and Complex Background Aware Framework for Remote Sensing Target Detection by Yifei Yuan, Yingmei Wei, Xiaoyan Zhou, Yanming Guo, Jiangming Chen, Tingshuai Jiang

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Relex Smile and its features for the correction of high degree myopia by A. G. Shchuko, O. V. Pisarevskaya, T. N. Yur’Yeva, E. M. Bal’Zhirova, T. N. Frolova, L. S. Khlebnikova

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Diffusive transport along a structured surface: ratchet effect stability when changing the potential profile type by T. Ye. Korochkova, O. V. Mashira, T. Yu. Gromovoy, A. D. Terets

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