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  • PREDICTING DATE YIELD USING MACHINE LEARNING

    Southern African Institute for Industrial Engineering (SAIIE)

    PREDICTING DATE YIELD USING MACHINE LEARNING

    K. Heyns, J. Bekker, J. Wium p987-996 from International Conference on Industrial Engineering, Systems Engineering and Engineering Management (ISEM 2023)
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  • Predicting Financial Stress with Mutual Funds Investment Networks

    Aussino Academic Publishing House (AAPH)

    Predicting Financial Stress with Mutual Funds Investment Networks

    Hongcan Zhou, Shan Lu, Likun Lin, Rong Guan, Tingxiao Liu p731-738 from 11th International Symposium on Project Management (ISPM2023)
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  • Predicting Forage Provision of Grasslands Across Climate Zones by Hyperspectral Measurements 

    International Grassland Congress 2023

    Predicting Forage Provision of Grasslands Across Climate Zones by Hyperspectral Measurements 

    F. A. Männer, J. Muro, J. Ferner, S. Schmidtlein, A. Linstädter p1635-1638 from XXV International Grassland Congress (IGC 2023)
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  • Predicting the Future: A State-Of-The-Art Probabilistic Approach to Support Operational Decision-Making

    Clarion Technical Conferences

    Predicting the Future: A State-Of-The-Art Probabilistic Approach to Support Operational Decision-Making

    Michael Turnquist p711-722 from 34th International Pipeline Pigging and Integrity Management Conference (PPIM 2022)
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  • Predicting Whole Helmet Blunt Impact Performance from Isolated Pad Testing Using Machine Learning

    Royal Military Academy (Belgium)

    Predicting Whole Helmet Blunt Impact Performance from Isolated Pad Testing Using Machine Learning

    J. Zhang, D. Midgett, M. Yates, C. Bradfield, J. Dunn, J. Leon, E. Cawi, C. Pyles, Q. Luong, L. Ruiz, C. Trageser, J. Hopping p257-266 from 17th Personal Armour Systems Symposium (PASS 2025)
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  • Prediction and Evaluation of Water Environment Impact of Phase II Construction Project of A Paper Mill in Guangning County

    Aussino Academic Publishing House (AAPH)

    Prediction and Evaluation of Water Environment Impact of Phase II Construction Project of A Paper Mill in Guangning County

    Jianqiao Qin, Yuhui Li, Huarong Zhao, Ming Dai p1863-1871 from 10th International Symposium on Project Management (ISPM2022)
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  • Prediction Method of Strong Co-seismic Fault Displacement Based on Peak Ground Acceleration

    Aussino Academic Publishing House (AAPH)

    Prediction Method of Strong Co-seismic Fault Displacement Based on Peak Ground Acceleration

    Qingyun Zhou, Ruxin Zhuang, Suge He p1256-1262 from 11th Academic Conference of Geology Resource Management and Sustainable Development 2023
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  • Prediction Method of Substation Battery Discharge Results based on Elm

    Aussino Academic Publishing House (AAPH)

    Prediction Method of Substation Battery Discharge Results based on Elm

    Qiang LI, Junpeng MA, Junjun LI, Xiaolin SHI p1302-1308 from 13th International Symposium on Project Management (ISPM2025)
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  • Prediction Model for Emergency Resource Demand in Mining Roof Fall and Collapse Accidents Based on Entropy Weight Method

    Aussino Academic Publishing House (AAPH)

    Prediction Model for Emergency Resource Demand in Mining Roof Fall and Collapse Accidents Based on Entropy Weight Method

    Xiaohu Xu, Ding Li, Tie Wang, Kaili Xu, Shigen Fu, Haoliang Han p1611-1618 from 12th International Symposium on Project Management (ISPM2024)
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  • PREDICTION MODEL FOR THE PERFORMANCE OF A METHANE-FUELLED SPARK-IGNITION ENGINE AT A DEEP-LEVEL MINE

    Southern African Institute for Industrial Engineering (SAIIE)

    PREDICTION MODEL FOR THE PERFORMANCE OF A METHANE-FUELLED SPARK-IGNITION ENGINE AT A DEEP-LEVEL MINE

    J. Pretorius, F.G. Jansen van Rensburg, J.H. Marais, J.H. Van Laar p1746-1758 from International Conference on Industrial Engineering, Systems Engineering and Engineering Management (ISEM 2023)
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  • Prediction Model of Ship Equipment Maintenance Cost Based on Optimized GM (1, 1)

    Aussino Academic Publishing House (AAPH)

    Prediction Model of Ship Equipment Maintenance Cost Based on Optimized GM (1, 1)

    Wenjun Liu, Fang Gao p1102-1106 from 10th International Symposium on Project Management (ISPM2022)
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  • Prediction of Blend Time in a Large-Scale Viral Inactivation Vessel Used in a Commercial Biopharmaceutical Plant

    MIXING17 - 17th European Conference on Mixing

    Prediction of Blend Time in a Large-Scale Viral Inactivation Vessel Used in a Commercial Biopharmaceutical Plant

    Piero Armenante, Chadakarn Sirasitthichoke, Duc Hoang, Poonam Phalak, Barak Barnoon, Ishaan Shandil p33-35 from 17th European Conference on Mixing (MIXING 17)
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