Radar Selection Method Based on an Improved Information Filter in the LPI Radar Network by Zhenkai Zhang, Bing Zhang, Zhibin Xie, Yi Yang

“…Then, the information gain of every radar is predicted according to the IMM-IF, and the radars with larger information gain are selected to track target. …”
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A LANDSLIDE SUSCEPTIBILITY ANALYSIS FOR BUZAU COUNTY, ROMANIA by VERONICA ZUMPANO, HAYDAR HUSSIN, PAOLA REICHENBACH, DAN BĂLTEANU, MIHAI MICU, SIMONE STERLACCHINI

“…A landslide inventory derived from archive data, literature review, field mapping and aerial imagery interpretation was divided into a training and a prediction set and was used to prepare and validate the model. …”
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Construction of Internet of things trusted group based on multidimensional attribute trust model by Jinghan Chen, Bei Gong, Yubo Wang, Yu Zhang

“…Accurate prediction of the trust relationship is the basis for trusted access and secure interaction between Internet of things nodes. …”
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Characteristics of Generating Carbon Oxides at Low-temperature Oxidation Stages of Low-Rank Coal by Yimeng Song

“…However, studies on carbon oxide gases being indicator gases in predicting spontaneous combustion of coal remain in the initial stage. …”
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Dynamics Analysis and Intermittent Energy Feedback Control of m-HR Neuron Model under Electromagnetic Induction by Jiankui Peng, Suoping Li

“…It is of great practical significance to fully reveal the global discharge characteristics of neurons in electromagnetic environment and design effective energy feedback strategy for accurate prediction of neural information. Considering the effect of electromagnetic induction, a four-dimensional modified Hindmarsh–Rose (m-HR) neuron model is established, and its discharge mechanism is revealed by analyzing the existence and stability of equilibrium point of the model. …”
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The Inverse Solution Algorithm and Trajectory Error Analysis of Robotic Arm Based on MQACA-RBF Network by Xu Cheng, Ming Zhao

“…This algorithm establishes the prediction model through the neural network and uses the quantum ant colony algorithm to optimize the output weight. …”
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A listening advantage for native speech is reflected by attention-related activity in auditory cortex by Meng Liang, Johannes Gerwien, Alexander Gutschalk

“…We interpret the findings to show that the stronger activity for native speech could be related to better top-down prediction of the native speech streams.…”
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Segmentation and Classification of Vowel Phonemes of Assamese Speech Using a Hybrid Neural Framework by Mousmita Sarma, Kandarpa Kumar Sarma

“…The first formant frequency of all the Assamese vowels is predetermined by estimating pole or formant location from the linear prediction (LP) model of the vocal tract. The proposed algorithm shows a high recognition performance in comparison to the conventional Discrete Wavelet Transform (DWT) based segmentation.…”
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Research for Pedestrian Steel Bridge Design of Neural Network in Structural Model Updating by Rui Zhao, Yuhang Wu, Zehua Feng

“…Taking the natural vibration frequency obtained from the dynamic test of the actual bridge as the target, two kinds of neural networks are used to predict the structural material parameters. An appropriate bridge model correction method is selected by comparing the prediction results of the BP neural network and the GRNN. …”
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Aerodynamic Analysis Models for Vertical-Axis Wind Turbines by M. T. Brahimi, A. Allet, I. Paraschivoiu

“…This work details the progress made in the development of aerodynamic models for studying Vertical-Axis Wind Turbines (VAWT's) with particular emphasis on the prediction of aerodynamic loads and rotor performance as well as dynamic stall simulations. …”
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Weaker Regularity Conditions and Sparse Recovery in High-Dimensional Regression by Shiqing Wang, Yan Shi, Limin Su

“…Based on both methods, we derive, in parallel, more precise bounds for the estimation loss and the prediction risk in the linear regression model when the number of variables can be much larger than the sample size.…”
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The Deformation Analysis of a Deep Frame Top-Down Excavation in Downtown Shanghai Based on the 3D FEM by Ting Bai, Dong Xie

“…The field monitoring results indicate that the magnitudes of wall deflections and ground settlements, along with the column’s uplift difference, are relatively small, which are below the specified protection levels, and that the FTDM is feasible as one of the extralarge excavation construction methods. It is reasonable to predict wall deflection by 3D FEM simulation with qualitative comparison between the simulated column uplifts and the measured data, yet the prediction of the settlement distribution is of no satisfaction. …”
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Hysteresis on Wells Turbine Characteristics in Reciprocating Flow by T. Setoguchi, M. Takao, K. Kaneko

“…The Wells turbine for a wave power generator has hysteretic characteristics in a reciprocating flow, which results in the inaccurate prediction of performance in a quasisteady analysis. …”
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An Improved Recursive ARIMA Method with Recurrent Process for Remaining Useful Life Estimation of Bearings by Zeyu Luo, Xian-Bo Wang, Zhi-Xin Yang

“…A typical way to predict the remaining useful life (RUL) of bearings is to predict certain health indicators (HIs) according to the historical HI series and forecast the end of life (EOL). …”
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Analysis of Artificial Neural Network: Architecture, Types, and Forecasting Applications by Manogaran Madhiarasan, Mohamed Louzazni

“…Artificial neural networks resemble brain activities based on the acquired training samples used for various applications such as classification, regression, prediction, smart grid, natural language processing, image processing, medical diagnosis, and so on. …”
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Comparative Study of Statistical Distributions in Electromigration-Induced Failures of Al/Cu Thin-Film Interconnects by M. I. Loupis, J. N. Avaritsiotis, G. D. Tziallas

“…The significance of such a modelling is particularly apparent in electromigration failure rate prediction.…”
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МATHEMATICAL MODELING OF ETHANOL AND LACTIC ACID BIOSYNTHESIS BY THERMOPHILIC Geobacillus BACTERIA by M. A. Nuriddinov, F. V. Kazantsev, A. S. Rozanov, K. N. Kozlov, S. E. Peltek, I. R. Akberdin, N. A. Kolchanov

“…It is shown that the mathematical model allows in silico design of genetic engineering experiments with the Geobacillus spp. bacterium and prediction of the dynamics of changes in synthesized ethanol and lactic acid concentrations depending on the molecular manipulations with the activity of enzymes of the metabolic system.…”
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The Desire that Propels Entrepreneurial Intentions by Hernan E. Riquelme, Abdullah Al Lanqawi

“…The purpose of this paper is to integrate conceptual and empirical work on the prediction and explanation of entrepreneurial intentions. …”
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Colorectal Cancer and Basement Membranes: Clinicopathological Correlations by Charalampos C. Mylonas, Andreas C. Lazaris

“…Examples include the prediction of the medium patient survival and the screening for patients suitable for specific therapeutic approaches. …”
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A Lead-Lag Relationship and Forecast Research between China’s Crude Oil Futures and Spot Markets by Chi Zhang, Dandan Pan, Mingyan Yang, Zhengning Pu

“…The experimental results show that the futures markets lead the spot market most of the time, but the lead effect reverses when major events occur; 60-minute futures high-frequency prices are the most predictive of daily spot data; crude oil futures’ predictive power declined after the Covid-19 outbreak and is more predictive when night trading is available. …”
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