Adsorption Behaviors of Cobalt on the Graphite and SiC Surface: A First-Principles Study by Wenyi Wang, Chuan Li, Jianzhu Cao, Chao Fang

“…Furthermore, the variation of adsorption ratios of Co on different substrate is obtained by a model of grand canonical ensemble, and it is found that when the temperature is close to 650 K and 1700 K for graphite surface and SiC surface, respectively, the Co adatom on the substrate will desorb dramatically. …”
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Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

“…Machine learning and ensemble methods allow researchers to model nonlinear relationships and manage high-dimensional data, improving the precision of predictions. …”
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A Combined Model for Simulating the Spatial Dynamics of Epidemic Spread: Integrating Stochastic Compartmentalization and Cellular Automata Approach by Murad Bashabsheh

“…The results of the study show the improvement of the quality of epidemic response management through numerical modeling and epidemic spread studies using the ensemble simulation model based on random partition models and numerical analysis.…”
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Multipoint Optimal Minimum Entropy Deconvolution Adjusted for Automatic Fault Diagnosis of Hoist Bearing by Tengyu Li, Ziming Kou, Juan Wu, Waled Yahya, Francesco Villecco

“…In the first part, a Teager energy spectrum amplitude factor (T-SAF) is proposed to select the intrinsic mode function (IMF) components decomposed by ensemble empirical mode decomposition (EEMD), and a combined mode function (CMF) is proposed to further reduce the mode mixing. …”
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Assessing changing baleen whale distributions and reported incidents relative to vessel activity in the Northwest Atlantic. by Hannah Solway, Boris Worm, Tonya Wimmer, Derek P Tittensor

“…Using a database of 483,003 whale sightings, 1,110 incident reports, and 82 million hours of maritime vessel activity, we conducted a spatiotemporal vulnerability analysis for all six baleen whale species occurring in the Northwest Atlantic Ocean by developing an ensemble of habitat-suitability models. The relative spatial risk of vessel-induced incidents was assessed for present (1985-2015) and projected near-future (2035-2055) distributions of baleen whales. …”
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GNSS Signal Extraction Using CEEMDAN–WPD for Deformation Monitoring of Ropeway Pillars by Song Zhang, Yuntao Yang, Yilin Xie, Haoran Tang, Haiyang Li, Lianbi Yao, Yin Yang

“…This study integrates Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and wavelet packet decomposition (WPD) to extract GNSS deformation monitoring signals for the ropeway pillar. …”
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Effect of Lidocaine and Epinephrine on Human Erythrocyte Shape and Vesiculability of Blood Cells by Tanja Slokar, Carlos Lopez-Mariscal, Judita Lea Krek, Roman Štukelj, Oskar Zupanc, Veronika Kralj-Iglič

“…Shape changes were recorded by micrographs. An ensemble of captured frames was analyzed for populations of discocytes, echinocytes, and stomatocytes by using statistical methods. …”
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Integrating Data Mining, Deep Learning, and Gene Ontology Analysis for Gene Expression-Based Disease Diagnosis Systems by Sergii Babichev, Igor Liakh, Jiri Skvor

“…The research methodology involves initial gene ontology analysis, followed by the application of the Self Organizing Tree Algorithm (SOTA) for clustering gene expression profiles, an ensemble algorithm for data biclustering, and CNN for sample classification. …”
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Telomerase RNA structural heterogeneity in living human cells detected by DMS-MaPseq by Nicholas M. Forino, Jia Zheng Woo, Arthur J. Zaug, Arcelia Gonzalez Jimenez, Eva Edelson, Thomas R. Cech, Silvi Rouskin, Michael D. Stone

“…Here, we probe hTR structure in living cells using dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq) and ensemble deconvolution analysis. Approximately 15% of the steady state population of hTR has a CR4/5 conformation lacking features required for hTERT binding. …”
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An Alternative Method for Traffic Accident Severity Prediction: Using Deep Forests Algorithm by Jing Gan, Linheng Li, Dapeng Zhang, Ziwei Yi, Qiaojun Xiang

“…Recently, a machine learning algorithm called Deep Forests based on the decision tree ensemble has aroused widespread concern, which was proposed for the first time by a research team of Nanjing University. …”
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CFD Simulation of Polydispersed Bubbly Two-Phase Flow around an Obstacle by E. Krepper, P. Ruyer, M. Beyer, D. Lucas, H.-M. Prasser, N. Seiler

“…This paper concerns the model of a polydispersed bubble population in the frame of an ensemble averaged two-phase flow formulation. The ability of the moment density approach to represent bubble population size distribution within a multi-dimensional CFD code based on the two-fluid model is studied. …”
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3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology by Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd

“…We trained and tested linear and nonlinear models with ablation studies on a novel ensemble body shape dataset containing 4286 scans. …”
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Crop yield prediction through machine learning: A path towards sustainable agriculture and climate resilience in Saudi Arabia by Mohammad M. Islam, Majed Alharthi, Rotana S. Alkadi, Rafiqul Islam, Abdul Kadar Muhammad Masum

“…Utilizing a customized dataset, this study analyzed a machine learning model performance and identified optimal hyperparameters. XGBoost ensemble emerged as the top performer with an R2 score of 0.9745, showcasing its potential to advance crop yield prediction capabilities. …”
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Experimental Investigation of Steady and Unsteady Flow Field Downstream of an Automotive Torque Converter Turbine and Stator by B. V. Marathe, B. Lakshminarayana

“…The experimental data were processed in the frequency domain by spectrum analysis and in temporal-spatial domain by ensemble averaging technique. The data show that the flow field is highly unsteady with high unresolved unsteadiness (approx. 17-21% of mean value) and significant blade-to-blade periodic component approx. 6% of mean value). …”
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Analysis of the Neurogenesis: Prepattern gene network сontrolling the first stage in Drosophila melanogaster bristle pattern development by D. P. Furman, T. A. Bukharina

“…The network acts as a gene ensemble owing to coordinated functioning of the regulatory circuits controlling activities of the corresponding genes both within and between the levels. …”
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External Drivers and Mesoscale Self‐Organization of Shallow Cold Pools in the Trade‐Wind Regime by Pouriya Alinaghi, A. Pier Siebesma, Fredrik Jansson, Martin Janssens, Franziska Glassmeier

“…To explore this, we use an ensemble of 103 large‐domain, high‐resolution, large‐eddy simulations and investigate how the variability in cold pools is determined by large‐scale external cloud‐controlling factors and shaped by processes within the mesoscale. …”
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Noise Source Identification Method for a Carpet Tufting Machine Based on CEEMDAN-AIC by Wang Haohui, Sheng Xiaowei, Xu Yang

“…First, in order to recognize the noise source of a carpet tufting machine, a method based on complete ensemble empirical mode decomposition (CEEMDAN) and Akaike information criterion (AIC) is proposed. …”
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Forecasting Optimal Solar Energy Supply in Jiangsu Province (China): A Systematic Approach Using Hybrid of Weather and Energy Forecast Models by Xiuli Zhao, Henry Asante Antwi, Ethel Yiranbon

“…Further, we evaluate the performance of an exemplary ensemble model which combines the forecast output of two popular statistical prediction methods using a dynamic weighting factor.…”
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A Data Mining Approach Identified Salivary Biomarkers That Discriminate between Two Obesity Measures by Ping Shi, J. Max Goodson

“…This study aimed to identify salivary biomarkers and other factors associated with obesity using an ensemble data mining approach. Methods. For a random cohort of over 700 subjects from 8137 Kuwait children (10.00 ± 0.67 years), four data mining methods were applied to identify important variables associated with obesity, including logistic regression by lasso regularization (Lasso), multivariate adaptive regression spline (MARS), random forests (RF), and boosting classification trees (BT). …”
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A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System by Guijun Han, Xinrong Wu, Shaoqing Zhang, Zhengyu Liu, Ionel Michael Navon, Wei Li

“…With a simple Lorenz-atmosphere and slab ocean coupled system that characterizes the interaction of two-timescale media in a coupled “climate” system, this study explores feasibility of the CPE with four-dimensional variational analysis and ensemble Kalman filter within a perfect observing system simulation experiment framework. …”
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