Prediction of G Protein-Coupled Receptors with SVM-Prot Features and Random Forest by Zhijun Liao, Ying Ju, Quan Zou

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The Properties of a Coal Body and Prediction of Compound Coal-Rock Dynamic Disasters by Guowei Dong, Xuanming Liang, Zhen Wang

“…Since the precise identification and prediction and early warning of compound coal-rock dynamic disaster remain difficult, a new coal characterisation and prediction method for compound coal-rock dynamic disasters was described based on theoretical analysis, laboratory experiment, field sampling, mathematical treatment, and industrial testing. …”
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Predicting Defects Using Information Intelligence Process Models in the Software Technology Project by Manjula Gandhi Selvaraj, Devi Shree Jayabal, Thenmozhi Srinivasan, Palanisamy Balasubramanie

“…This paper gives the practical applicability of using predictive models and illustrates use of these models in a project to predict system testing defects thus helping to reduce residual defects.…”
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Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network by Ruyi Yang

“…The results show that the GA-BP neural network is higher than the traditional BP neural network in terms of prediction accuracy and adaptability.…”
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Cyclooxygenase-2 Expression Is a Predictive Marker for Late Recurrence in Colorectal Cancer by Sung Hoo Kim, Byung Kyu Ahn, Seung Sam Paik, Kang Hong Lee

“…Elevated COX-2 expression in itself is not a prognostic factor, but COX-2 expression in tumor tissue may be an independent predictive marker of late recurrence for patients with stage I to III CRC.…”
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Prediction on Remaining Life of a V-Notched Beam by Measured Modal Frequency by Wenguang Liu, Mark E. Barkey

“…A prediction method for the remaining life of a V-notched beam using measured modal frequencies is proposed in this article. …”
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Predicting Unsteady Loads in Marine Propulsor Crashback Using Large Eddy Simulation by Hyunchul Jang, Aman Verma, Krishnan Mahesh

“…Large eddy simulation (LES) is performed for marine propulsors in crashback for various configurations and advance ratios and validated against experiments. The predictive capability of LES as a tool for propulsor crashback is demonstrated on an open propulsor, open propulsor with a submarine hull, and ducted propulsor with and without stator blades. …”
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The Concept of a Method for Predicting the Cascade Effect Under Conditions of Hybrid Warfare by WRÓBLEWSKI Wojciech, WIŚNIEWSKI Michał

“…The concept of a method for predicting the cascade effect under conditions of hybrid war is proposed. …”
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Overview of the Application of Orographic Data in Numerical Weather Prediction in Complex Orographic Areas by Yingjie Wang, Jianping Wu

“…Complex orography is still a big challenge for all numerical weather prediction (NWP) models. Orography is an important factor that affects the NWP results. …”
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Combined nanoindentation and SEM imaging for phase quantification and creep prediction of cementitious materials by Imane Bekrine, Benoit Hilloulin, Ahmed Loukili

“…Finally, the refined properties helped to accurately predict the cement pastes creep using an analytical homogenization scheme, which was confirmed by microindentation measurements.…”
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GPR176 Is a Biomarker for Predicting Prognosis and Immune Infiltration in Stomach Adenocarcinoma by Lin Ni, Shuming Chen, Jianyong Liu, He Li, Hu Zhao, Chunhua Zheng, Yawei Zhang, Hancong Huang, Junjie Huang, Bing Wang, Chengzhi Lin

“…Then, we constructed a GRP176-related immunomodulator prognostic model (GRIM) based on the above 4 genes, which was validated to have good predictive power. Finally, we developed a nomogram based on the risk score of GRIM and verified its accuracy. …”
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C-Peptide Levels Predict the Effectiveness of Dipeptidyl Peptidase-4 Inhibitor Therapy by Sevin Demir, Sule Temizkan, Mehmet Sargin

“…Baseline levels of C-peptide were predictive for success of the treatment (P=0.02), even after correction for confounding factors, for example, age, gender, or BMI (P=0.03). …”
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Multivariable Time Series Prediction for the Icing Process on Overhead Power Transmission Line by Peng Li, Na Zhao, Donghua Zhou, Min Cao, Jingjie Li, Xinling Shi

“…The design of monitoring and predictive alarm systems is necessary for successful overhead power transmission line icing. …”
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Predicting microRNA target genes using pan-cancer correlation patterns by Shuting Lin, Peng Qiu

“…In this study, we constructed machine learning models to predict miRNA target genes that have not been previously reported. …”
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FACTORS PREDICTING COMMUNITY SUPPORT: THE CASE OF A SOUTH AFRICAN ARTS FESTIVAL by I. LOOTS, SURIA ELLIS, ELMARIE SLABBERT

“…It is therefore the aim of this research to determine the factors predicting community support in the case of a South African arts festival. …”
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Review of Spot Electricity Price Prediction Studies Based on Machine Learning Methods by JIA Heping, GUO Yuchen, MA Qianxin, YANG Zhenglin, ZHENG Yaxian, ZENG Dan, LIU Dunnan

“…The types of prediction models and challenges faced by spot electricity price prediction can be elaborated based on existing research on electricity price prediction mechanisms. …”
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Predictive instrument for rupture of intracranial aneurysms in patients from Sancti Spiritus, Cuba by Jorge Félix Companioni Rosildo, Gretel Mosquera Betancourt, Carlos Rafael Sebrango Rodríguez, Juan Carlos Lage Barroso

“…<br /><strong>Objective:</strong> to develop a predictive instrument for incidental intracranial aneurysm rupture.…”
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Assessment of factors predicting the nutritional status of geriatric people in Tabuk, Saudi Arabia by Samar Lafi Aljohani

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Towards Fault Detection in Industrial Equipment through Energy Consumption Analysis: Integrating Machine Learning and Statistical Methods by Baddou Nada, Dadda Afaf, Rzine Bouchra, Hmamed Hala

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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

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