Automatic Task Planning and Its On-Orbit Verification of Agile Remote Sensing Satellite by Zhang Yahang, Yang Haiyue, Yang Mengfei, Yang Ruochu, Leng Shuhang

“…Then, the task’s orbit, attitude, mobility, energy, and time constraints are calculated through the modules of on-board orbit prediction, agile attitude calculation, track planning, energy prediction, and visible arc calculation. …”
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Multiscale Latent Variable Regression by Mohamed N. Nounou, Hazem N. Nounou

“…The main advantage of the MSLVR modeling algorithm is that it inherently accounts for the presence of measurement noise in the data by the application of the low-pass filters used in multiscale decomposition, which in turn improves the model robustness to measurement noise and enhances its prediction accuracy. The advantages of the developed MSLVR modeling algorithm are demonstrated using a simulated inferential model which predicts the distillate composition from measurements of some of the trays' temperatures.…”
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Full-Scale Experimental Validation of Large-Eddy Simulation of Wind Flows over Complex Terrain: The Bolund Hill by Ashvinkumar Chaudhari, Antti Hellsten, Jari Hämäläinen

“…According to the results comparison, it is found that the LES model provides by far the most accurate prediction for turbulent kinetic energy. The simulation error of this LES model for predicting turbulent kinetic energy is 19% smaller than that of all other models, whether experimental or numerical, employed previously over Bolund Hill.…”
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A Computation Complexity Reduction of the Size Decision Algorithm in 3D-HEVC Depth Map Intracoding by Hamza Hamout, Abderrahmane Elyousfi

“…In 3D-HEVC design, a highly flexible quadtree coding unit partitioning is adopted, in which one coding tree unit is partitioned recursively into a prediction unit (PU) from 64 × 64 down to 4 × 4. This highly flexible partitioning provides more accurate prediction signals and thereby achieves better intradepth map compression efficiency. …”
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A Damage Constitutive Model for the Effects of CO2-Brine-Rock Interactions on the Brittleness of a Low-Clay Shale by Qiao Lyu, Xinping Long, P. G. Ranjith, Jingqiang Tan, Yong Kang, Wenbin Luo

“…Two damage constitutive equations based on the power function distribution and Weibull distribution were established to predict the threshold stress for both intact and soaked shale samples. …”
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Analysis of 42 Years of Cosmic Ray Measurements by the Neutron Monitor at Lomnický štít Observatory by Imre Kisvárdai, Filip Štempel, Lukáš Randuška, Šimon Mackovjak, Ronald Langer, Igor Strhárský, Ján Kubančák

“…Lastly, the computed prediction power score of 0.22 for neutron flux in the context of geomagnetic field strength presents exciting possibilities for developing real‐time geomagnetic storm prediction models based on cosmic ray measurements.…”
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Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis Techniques by Suk-Ju Hong, Shin-Joung Rho, Ah-Yeong Lee, Heesoo Park, Jinshi Cui, Jongmin Park, Soon-Jung Hong, Yong-Ro Kim, Ghiseok Kim

“…Near-infrared spectroscopy and multivariate analysis techniques were employed to nondestructively evaluate the rancidity of perilla seed oil by developing prediction models for the acid and peroxide values. …”
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How Does Heavy Precipitation of Varying Durations Respond to Urbanization in China? by Xue Xie, Kairong Lin, Mingzhong Xiao, Xudong Zhou, Gang Zhao, Dai Yamazaki

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Multi-model Evaluation and Bayesian Model Averaging in Quantitative Air Quality Forecasting in Central China by Haixia Qi, Shuangliang Ma, Jing Chen, Junping Sun, Lingling Wang, Nan Wang, Weisi Wang, Xiefei Zhi, Hao Yang

“…We then established multi-model ensemble Bayesian model averaging (BMA). The prediction effect for PM2.5 and O3 was ranked as CUACE > CMAQ > NAQP and the prediction effect for SO2, NO2 and CO was CMAQ > NAQP > CUACE. …”
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Immune gene features and prognosis in colorectal cancer: insights from ssGSEA typing by Anwen Huang, Jinxiu Wu, Jiakuan Wang, Chengwen Jiao, Yunfei Yang, Huaiwen Xiao, Li Yao

“…Subsequently, a prognostic risk model of CRC was constructed based on 12 prognostic genes, and the accuracy and reliability of the model prediction were verified. Finally, Nomogram enabled accurate individual prediction of the survival prognosis of CRC patients. …”
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Simultaneous Determination of Over-the-Counter Pain Relievers in Commercial Pharmaceutical Products Utilizing Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) Mult... by Heba Shaaban, Ahmed Mostafa, Zahra Almatar, Reem Alsheef, Safia Alrubh

“…The analytical performance of the developed chemometric methods such as root mean square error of prediction, bias, standard error of prediction, relative error of prediction, and coefficients of determination was calculated for the developed model. …”
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Autoencoder untuk Sistem Prediksi Berat Lahir Bayi by Fitra Septia Nugraha, Hilman Ferdinandus Pardede

“…This study aims to predict baby birth weight using the Deep Learning autoencoder method to predict baby birth weight. …”
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Convolutional neural networks for sea surface data assimilation in operational ocean models: test case in the Gulf of Mexico by O. Zavala-Romero, O. Zavala-Romero, A. Bozec, E. P. Chassignet, J. R. Miranda, J. R. Miranda

“…By using convolutional neural networks, the study improves predictions of sea temperatures and heights by integrating real satellite data with existing models. …”
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The Action Control Model for Robotic Fish Using Improved Extreme Learning Machine by XueXi Zhang, ShuiBiao Chen, ShuTing Cai, XiaoMing Xiong, Zefeng Hu

“…To achieve fast and accurate adjustment of robotic fish, this paper proposes state prediction model based on the extreme learning machine optimized by particle swarm algorithm. …”
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Investigation of Range Profiles from a Simplified Ship on Rough Sea Surface and Its Multipath Imaging Mechanisms by Siyuan He, Fan Zhang, Weidong Hu, Lei Zhuang, Xingbin Ye, Guoqiang Zhu

“…The coupling mechanisms could be explained by means of ray theory prediction and numerical extraction of the coupling currents. …”
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Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network by Lukas Falat, Dusan Marcek, Maria Durisova

“…This paper deals with application of quantitative soft computing prediction models into financial area as reliable and accurate prediction models can be very helpful in management decision-making process. …”
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Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS Method by Feng Zhu, Haowei Song, Bingxiang Huang, Binxin Hu, Siqi Li, Guangdong Song, Hua Zhang, Tongyu Liu, Fuwu Ma

“…To address this issue, this paper proposes an improved comprehensive weighting prediction (CF-TOPSIS) method that predicts weight and grade indices for rock burst evaluation. …”
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The Bifixation Field as a Function of Viewing Distance by Philip M. Grove, Alistair P. Mapp, Hiroshi Ono

“…We tested these predictions using a subjective index of eye position. …”
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Optimization Modeling and Empirical Research on Gasoline Octane Loss Based on Data Analysis by Ji Guo, Yujia Lou, Wanyi Wang, Xianhua Wu

“…Firstly, the data are screened and the high-dimensional data are reduced to construct the neural network prediction model optimized by genetic algorithm. After utilizing the model for prediction, the optimal operating condition is achieved. …”
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Early detection of sepsis using machine learning algorithms by Rasha M. Abd El-Aziz, Alanazi Rayan

“…In the intensive care unit (ICU), bedside surveillance data can appropriately predict the onset of sepsis, probably saving lives and lowering costs by permitting early intervention. …”
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