Derivation of CaO-SiO2-Al2O3system slag viscosity equation by GP by Ri S.-C., Ra J.-H., Ryom K.-C.

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Frontal Pole, Cingulate Gyrus, and Precuneus Cortex Represent the Confidence Level in Prediction of Other's Risky Decision-Making. by Ahmad Shoaa Haghighi, Soroush Safari, Elahe Oloumi, Hadis Jameei, Gholam Ali Hossein Zadeh, Abdol-Hossein Vahabie

Subjects: “…Confidence level; Prediction; Metacognition; Decision-making.…”
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Accuracy of Imputation of Microsatellite Markers from BovineSNP50 and BovineHD BeadChip in Hanwoo Population of Korea by Aditi Sharma, Jong-Eun Park, Byungho Park, Mi-Na Park, Seung-Hee Roh, Woo-Young Jung, Seung-Hwan Lee, Han-Ha Chai, Gul-Won Chang, Yong-Min Cho, Dajeong Lim

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DeepEye: Link Prediction in Dynamic Networks Based on Non-negative Matrix Factorization by Nahla Mohamed Ahmed, Ling Chen, Yulong Wang, Bin Li, Yun Li, Wei Liu

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Rating pome fruit quality traits using deep learning and image processing by Nhan H. Nguyen, Joseph Michaud, Rene Mogollon, Huiting Zhang, Heidi Hargarten, Rachel Leisso, Carolina A. Torres, Loren Honaas, Stephen Ficklin

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Developing a rapid screening tool for high-risk ICU patients of sepsis: integrating electronic medical records with machine learning methods for mortality prediction in hospitalized patients—model establishment, internal and external validation, and visualization by Songchang Shi, Lihui Zhang, Shujuan Zhang, Jinyang Shi, Donghuang Hong, Siqi Wu, Xiaobin Pan, Wei Lin

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Artificial Intelligence (AI) for Crop Yield Forecasting by Clyde Fraisse, Yiannis Ampatzidis, Sandra Guzmán, Wonsuk Lee, Christopher Martinez, Sanjay Shukla, Aditya Singh, Ziwen Yu

Subjects: “…yield prediction…”
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Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF by Andrea Asperti, Gabriele Raciti, Elisabetta Ronchieri, Daniele Cesini

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Fuzzy Constrained Predictive Optimal Control of High Speed Train with Actuator Dynamics by Xi Wang, Yan Zhao, Tao Tang

“…We investigate the problem of fuzzy constrained predictive optimal control of high speed train considering the effect of actuator dynamics. …”
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Predictive Trajectory-Based Mobile Data Gathering Scheme for Wireless Sensor Networks by Fan Chao, Zhiqin He, Renkuan Feng, Xiao Wang, Xiangping Chen, Changqi Li, Ying Yang

“…Afterwards, a tour planning of MS based on prediction is proposed subject to minimizing the traveling distance to collect data. …”
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A prediction model for guiding tumor microwave ablation surgery based on simulation by Lu Qian, Yamin Yang, Pan Chen, Jia Liu, Xiaofei Jin, Zhiyu Qian, Chunxiao Chen

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Gene Expression Differences Predict Treatment Outcome of Merkel Cell Carcinoma Patients by Loren Masterson, Bryan J. Thibodeau, Laura E. Fortier, Timothy J. Geddes, Barbara L. Pruetz, Rajwant Malhotra, Richard Keidan, George D. Wilson

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Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner by Xiuhong Hao, Shuqiang Wang, Mengfan Chen, Deng Pan

“…Finally, examples were provided to elaborate the RUL prediction of the HSLL. The results show that the prediction accuracy of the proposed RUL prediction model is higher than that of the simple Wiener process during the entire residual life cycle of the HSLL. …”
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Milling-Force Prediction Model for 304 Stainless Steel Considering Tool Wear by Changxu Wang, Yan Li, Feng Gao, Kejun Wu, Kan Yin, Peng He, Yunjiao Xu

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Stock price prediction with attentive temporal convolution-based generative adversarial network by Ying Liu, Xiaohua Huang, Liwei Xiong, Ruyu Chang, Wenjing Wang, Long Chen

Subjects: “…Stock price prediction…”
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Exploring the VAK model to predict student learning styles based on learning activity by Ahmed Rashad Sayed, Mohamed Helmy Khafagy, Mostafa Ali, Marwa Hussien Mohamed

“…Multiple tests were performed by different machine learning classifiers, mainly in predicting learning style and recommending an assessment methodology. …”
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Machine learning predicting the transport mechanisms and entrainment characteristics of negative buoyant jets by Yaowen Xia, Wenfeng Gao, Qiong Li, Banglong Wu, Jia Xie, Shuting Yang

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Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model by Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…Improvement of compressive strength prediction accuracy for concrete is crucial and is considered a challenging task to reduce costly experiments and time. …”
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Practical Minimum Sample Size for Road Crash Time-Series Prediction Models by Fady M. A. Hassouna, Khaled Al-Sahili

“…Crash data in many countries are available only for the past 10 to 20 years, which makes it difficult to determine whether the data are sufficient to establish reasonable and accurate prediction rates. In this study, the effect of sample size (number of years used to develop a prediction model) on the crash prediction accuracy using Autoregressive integrated moving average (ARIMA) method was investigated using crash data for years 1971–2015. …”
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Endocan Levels in Peripheral Blood Predict Outcomes of Acute Respiratory Distress Syndrome by Ling Tang, Ying Zhao, Daoxin Wang, Wang Deng, Changyi Li, Qi Li, Shicong Huang, Chang Shu

“…Moreover, endocan can predict the multiple-organ dysfunction of ARDS. Conclusion. …”
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