Numerical Analysis of Forced Convection of Nanofluid under Turbulent Flow between Two Parallel Plates by Iman Pishkar, S. Mohammad Hoseini

“…The governing equations were solved simultaneously using the control volume method based on SIMPLER algorithm. In this study, the effects of the Reynolds’ number in the range of 104 to 5∗104, volume fraction of 0.01 to 0.04, and nanoparticle diameter of 20 nm to 100 nm on field flow and rate of heat transfer were examined. …”
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Forecasting of Ionospheric Total Electron Content Data Using Multivariate Deep LSTM Model for Different Latitudes and Solar Activity by Nayana Shenvi, Hassanali Virani

“…The performance of the LSTM model was validated by comparing it with the multilayer perceptron (MLP) machine learning algorithm using root mean square error (RMSE) and mean absolute error (MAE) as evaluation indices. …”
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Optimization and Experimental Study of an Intelligent Bamboo-Splitting Machine Charging Manipulator by Tian-Hu Liu, Yong-Lu Wen, Gui-Qi Li, Xiang-Ning Nie

“…The size of the manipulator was optimized here using a genetic algorithm. The capture rate, centering rate, and dynamic characteristics of an intelligent bamboo-splitting machine charging manipulator, in which key factors were considered, were experimentally studied. …”
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Spectral Discrimination of Archaeological Sites Previously Occupied by Farming Communities Using In Situ Hyperspectral Data by Olaotse Lokwalo Thabeng, Elhadi Adam, Stefania Merlo

“…Thereafter, the selected soil elements and wavelengths were used as input variables in the RF classification algorithm to classify the nonsites, middens, vitrified dung, and nonvitrified dung. …”
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Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches by Manjunath Patel Gowdru Chandrashekarappa, Prasad Krishna, Mahesh B. Parappagoudar

“…Two different neural network based approaches have been proposed to carry out the said task, namely, back propagation neural network (BPNN) and genetic algorithm neural network (GA-NN). The batch mode of training is employed for both supervised learning networks and requires huge training data. …”
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Geometric Lattice Structure of Covering-Based Rough Sets through Matroids by Aiping Huang, William Zhu

“…Geometric lattice has been widely used in diverse fields, especially search algorithm design, which plays an important role in covering reductions. …”
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Anthropological view of plague epidemics in the his­torical past by T.F. Khaydarov, D.A. Dolbin

“…They have remained unrevised despite the latest achievements in the research on the plague bacterium Yersinia pestis, the history of climate and medicine, and the extensive published data, making it of an interest to both reconsider certain established dogmas and reconstruct the algorithm of the course of major plague epidemics from the historical past using the results of the available paleogenetic, epidemiological, and climatological studies. …”
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Learning with noisy labels via clean aware sharpness aware minimization by Bin Huang, Ying Xie, Chaoyang Xu

“…Based on these analyses, a clean aware sharpness aware minimization algorithm known as CA-SAM is proposed. CA-SAM dynamically divides the training data into possible likely clean and noisy datasets based on the historical model output and uses likely clean samples to determine the direction of the parameter perturbation. …”
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Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems by Yilong Ju, Shah Saad Alam, Jonathan Minoff, Fabio Anselmi, Han Pu, Ankit Patel

“…We incorporate our insights into a new training algorithm and demonstrate its improved efficiency, accuracy, and robustness. …”
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Research on Optimization of Big Data Construction Engineering Quality Management Based on RNN-LSTM by Daopeng Wang, Jifei Fan, Hanliang Fu, Bing Zhang

“…Through the example verification, the algorithm proposed in this paper can effectively reduce the incidence of construction project quality problems, and it has a promotion. …”
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Distributed Energy Management of the Hybrid AC/DC Microgrid with High Penetration of Distributed Energy Resources Based on ADMM by Yaling Chen, Luxi Hao, Gaowen Yin

“…Then, the MIQP model is decomposed and distributed into smaller-scale QP models between subgrids using the P-ADMM algorithm, which can handle binary variables through projection functions. …”
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COGNITIVE GRAMMAR IN AN ENGLISH CLASSROOM, OR, HOW TO MAKE LIFE FOR RUSSIAN STUDENTS EASIER by A. V. Kravchenko

“…Since cognitive structures underlying these grammatical categories are grounded in perceptual experience and are similar in both languages, a cognitive approach, by using the native language as scaffolding, allows the student to benefit from a simple algorithm for choosing a tense in discourse. This radically facilitates grammar acquisition, eliminating many imaginary difficulties. …”
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Towards a Standard Benchmarking Framework for Domain Adaptation in Intelligent Fault Diagnosis by Mohammed M. Farag

“…We demonstrate the framework’s capabilities and application mechanisms using a CNN classifier and an adversarial DA algorithm. Benchmarking results reveal significant accuracy drops from 99% to 36% and 45% with variances of 15% and 20% for the CWRU and PU datasets, respectively, under controlled domain shift conditions. …”
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Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

“…This study leverages the CALCE dataset and employs the random forest algorithm for dimensionality reduction, selecting voltage, discharge capacity, and discharge energy as key input features. …”
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Effects of data transformation and model selection on feature importance in microbiome classification data by Zuzanna Karwowska, Oliver Aasmets, Estonian Biobank research team, Tomasz Kosciolek, Elin Org

“…Results Our analysis of over 8500 samples from 24 shotgun metagenomic datasets showed that it is possible to classify healthy and diseased individuals using microbiome data with minimal dependence on the choice of algorithm or transformation. Presence-absence transformations performed comparably to abundance-based transformations, and only a small subset of predictors is necessary for accurate classification. …”
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Numerical Simulation on Carbonation Depth of Concrete Structures considering Time- and Temperature-Dependent Carbonation Process by Jianxin Peng, Huang Tang, Jianren Zhang, Steve C. S. Cai

“…The concrete block is discretized into triangular elements, and the CO2 concentrations at different positions are calculated based on finite element method. A computational algorithm is programed through the Matlab platform. …”
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Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer by Weijie Tang, Jiayan Chen, Dongjiao Chen

“…First, a novel automatic SOH extraction algorithm for offline charging data is introduced to label the battery SOH degradation data. …”
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Joint Optimization of Energy Conservation and Migration Cost for Complex Systems in Edge Computing by Xiaolong Xu, Yuan Xue, Mengmeng Cui, Yuan Yuan, Lianyong Qi

“…In addition, nondominated sorting genetic algorithm III (NSGA-III) is adopted to generate optimal resource scheduling strategies. …”
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Problematic Procedural Issues of Preventing Criminal Offenses on Road Passenger Transport by A. V. Piddybna

“…The author has studied the procedural mechanism of the algorithm of an investigator, interrogator and prosecutor’s actions on establishing the causes and conditions that contributed to the commission of a criminal offense and taking the necessary measures. …”
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Some Experiments in Extreme‐Value Statistical Modeling of Magnetic Superstorm Intensities by Jeffrey J. Love

“…Lognormal, upper limit lognormal, generalized Pareto, and generalized extreme‐value model distributions are fitted to the −Dstm data using a maximum‐likelihood algorithm. All four candidate models provide good representations of the data. …”
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