Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

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Prediction of Extrathyroidal Extension Using Ultrasonography and Computed Tomography by Doh Young Lee, Tack-Kyun Kwon, Myung-Whun Sung, Kwang Hyun Kim, J. Hun Hah

“…The aim of the present study was to evaluate the value of high-resolution ultrasound (US) and computed tomography (CT) scan for preoperative prediction of the extrathyroidal extension (ETE). Methods. …”
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Prediction of Matrix Failure in Fibre Reinforced Polymer Composites by J. Wang, W. K. Chiu

“…Recent development has enabled fibre and matrix failure in a fibre reinforced composite material to be predicted separately. Matrix yield/failure prediction is based on a Von Mises strain and first strain invariant criteria. …”
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Flight Delay Classification Prediction Based on Stacking Algorithm by Jia Yi, Honghai Zhang, Hao Liu, Gang Zhong, Guiyi Li

“…This paper aims to prove that Stacking algorithm has advantages in airport flight delay prediction, especially for the algorithm selection problem of machine learning technology. …”
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Predicting drug and target interaction with dilated reparameterize convolution by Moping Deng, Jian Wang, Yiming Zhao, Yongjia Zhao, Hao Cao, Zhuo Wang

“…Abstract Predicting drug-target interaction (DTI) stands as a pivotal and formidable challenge in pharmaceutical research. …”
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About the sectoral centres for prediction of scientific and technical development by P. . Iosifov, A. . Pervanyuk, M. . Siluyanova

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Prediction of earthquake by machine learning models and neural network by Xu Bohong

“…After reading many articles, the author discovered that not many articles use a fully connected neural network to predict earthquake magnitude. In this article, the author first process the dataset sought from the internet, then predict the magnitude and the alert of earthquakes, with four machine learning models and a neural network. …”
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Predictive Failure of Cylindrical Coatings Using Weibull Analysis by Vlcek Brian, Hendricks Robert, Zaretsky Erwin

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Enabling precise predictions for left-right symmetry at colliders by Jonathan Kriewald, Miha Nemevšek, Fabrizio Nesti

“…Abstract We investigate the structure of the minimal left-right symmetric model that enables precise predictions in the gauge, scalar and neutrino sector. …”
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Comparative Study on Traffic Prediction Using Different Models by Jiao Zhtiofan

“…Traffic flow prediction (TFP) is a complex and critical field that is of great significance for urban planning, management, and resource allocation. …”
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Ensuring representative sample volume predictions in microplastic monitoring by Richard K. Cross, Sarah L. Roberts, Monika D. Jürgens, Andrew C. Johnson, Craig W. Davis, Todd Gouin

“…We have developed the Representative Sample Volume Predictor (RSVP) tool, which standardises statistical prediction of sufficient sample volumes, to ensure microplastics are detected with a given level of confidence. …”
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Prediction of the Remaining Service Life of Reinforced Concrete Structures by I. A. Terekhov, N. N. Trekin, E. N. Kodysh

“…The most common engineering techniques that allow predicting the remaining service life for reinforced concrete structures are considered: according to standard terms and analogous objects, according to external signs, based on changes in reserve coefficients and strength criteria. …”
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Predicting Diameter Distributions in Mixed Forests in Southern Mexico by Juan Carlos Guzmán-Santiago, Héctor Manuel de los Santos-Posadas, Benedicto Vargas-Larreta, Martín Gómez-Cárdenas, Wenceslao Santiago-García, Adan Nava-Nava

“…Four probability density functions (Weibull 2P, Log-Normal, Log-Logistic, and Burr) were fitted by using maximum likelihood approach for different silvicultural treatments. The predictive ability of the functions was evaluated using bias, root mean square error, Kolmogorov-Smirnov statistic and graphical analyses. …”
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Interaction Prediction Optimization in Multidisciplinary Design Optimization Problems by Debiao Meng, Xiaoling Zhang, Hong-Zhong Huang, Zhonglai Wang, Huanwei Xu

“…In this paper, one large-scale systems control strategy, the interaction prediction method (IPM), is introduced to enhance CO. …”
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Effect of Feature Selection on the Prediction of Direct Normal Irradiance by Mohamed Khalifa Boutahir, Yousef Farhaoui, Mourade Azrour, Imad Zeroual, Ahmad El Allaoui

“…This paper aims to develop a set of deep learning models through feature importance algorithms to predict the DNI data. The proposed models are based on historical data of meteorological parameters and solar radiation properties in a specific location of the region of Errachidia, Morocco, from January 1, 2017, to December 31, 2019, with an interval of 60 minutes. …”
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Ray Tracing RF Field Prediction: An Unforgiving Validation by E. M. Vitucci, V. Degli-Esposti, F. Fuschini, J. S. Lu, M. Barbiroli, J. N. Wu, M. Zoli, J. J. Zhu, H. L. Bertoni

“…The prediction of RF coverage in urban environments is now commonly considered a solved problem with tens of models proposed in the literature showing good performance against measurements. …”
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Fault Prediction of Centrifugal Pump Based on Improved KNN by YunFei Chen, Jianping Yuan, Yin Luo, Wenqi Zhang

“…To effectively predict the faults of centrifugal pumps, the idea of machine learning k-nearest neighbor algorithm (KNN) was introduced into the traditional Mahalanobis distance fault discrimination, and an improved centrifugal pump fault prediction model of KNN based on the Mahalanobis distance is proposed. …”
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Prediction and Identification of Antioxidant Peptides in Potato Protein Hydrolysate by Juan Wu, Chao Mao, Wenli Zhang, Yu Cheng

“…The results suggested that multivariate analysis could be used to predict the amino acid compositions of antioxidant peptides.…”
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Predictive Shear Strength Models for Tropical Lateritic Soils by Oluwapelumi O. Ojuri

“…The stepwise multiple regression was used to establish the best predictive models for the California bearing ratio (CBR) and undrained shear strength (). …”
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Predictive role of modifiable factors in stroke: an umbrella review by Yue Wang, Lu Wen, Xiaotong Wang, Man Liang, Fanxin Zeng, Yuetian Yang, Fangfang Nie, Mengke Shang, Na Ta, Lanxin Ou, Zhibin Yang, Wanyang Liu

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