Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier by Mahmood Ahmad, Herda Yati Katman, Ramez A. Al-Mansob, Feezan Ahmad, Muhammad Safdar, Arnold C. Alguno

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Predicting Winter Wheat Grain Yield Using Fractional Green Canopy Cover (FGCC) by Vaughn Reed, Daryl B. Arnall, Bronc Finch, Joao Luis Bigatao Souza

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Towards enhanced photovoltaic Modeling: New single diode Model variants with nonlinear ideality factor dependence by Martin Ćalasan, Snežana Vujošević, Gojko Krunić

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GRAPPA—A hybrid graph neural network for predicting pure component vapor pressures by Marco Hoffmann, Hans Hasse, Fabian Jirasek

“…The trained model and its code are fully disclosed, and GRAPPA is directly applicable via the interactive website https://ml-prop.mv.rptu.de/.…”
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Benchmarking Variants of Recursive Feature Elimination: Insights from Predictive Tasks in Education and Healthcare by Okan Bulut, Bin Tan, Elisabetta Mazzullo, Ali Syed

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Investigating and predicting land use changes in Tehran metropolis using remote sensing technology by Adel Khazaei, Majid Abbaspour, Sasan Babaei Kafaky, Lobat Taghavi, Yousef Rashidi

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Interpretable Machine Learning for Legume Yield Prediction Using Satellite Remote Sensing Data by Theodoros Petropoulos, Lefteris Benos, Remigio Berruto, Gabriele Miserendino, Vasso Marinoudi, Patrizia Busato, Chrysostomos Zisis, Dionysis Bochtis

“…Accurate crop yield prediction is vital towards optimizing agricultural productivity. …”
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Nonlinear Reduced-Order Observer-Based Predictive Control for Diving of an Autonomous Underwater Vehicle by Xuliang Yao, Guangyi Yang, Yu Peng

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Emergency Separation Simulation and Damage Prediction of an Airliner under Wheel-Up Landing Condition by Pengfei Zhang, Hong Nie, Jianfei Wu, Muqi Yu

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Feature selection method for software defect number prediction based on maximum information coefficient by Guoqing LIU, Xingqi WANG, Dan WEI, Jinglong FANG, Yanli SHAO

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Feature selection method for software defect number prediction based on maximum information coefficient by Guoqing LIU, Xingqi WANG, Dan WEI, Jinglong FANG, Yanli SHAO

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An incremental data-driven approach for carbon emission prediction and optimization of heat treatment processes by Qian Yi, Xin Wu, Junkang Zhuo, Congbo Li, Chuanjiang Li, Huajun Cao

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Predicting effective drug combinations for cancer treatment using a graph-based approach by Qi Wang, Xiya Liu, Guiying Yan

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Life Prediction Method of Remanufactured Machinery Equipment Based on Vibration Signal Feature Extraction by Bin Li, Le Kui, Jingdong Luo, Shiyong Chen

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Machine learning insights for predicting density and hardness in centrifugal SHS synthesized ceramic coatings by N. Radhika, M. Sabarinathan, S. Sivaraman

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Approach for reduced test suite generation based on predicate abstraction by Xi GUO, Huan-guo ZHANG

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Short-Term Wind Power Prediction Based on MVMD-AVOA-CNN-LSTM-AM by Xiqing Zang, Zehua Wang, Shixu Zhang, Mingsong Bai

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Modelling of the Bubble Size Distribution in an Aerated Stirred Tank: Theoretical and Numerical Comparison of Different Breakup Models by Kálal Zbyněk, Jahoda Milan, Fořt Ivan

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基于脑影像及临床特征的机器学习模型预测缺血性卒中后心房颤动 A Machine Learning Model Based on Brain Imaging and Clinical Features for Predicting Atrial Fibrillation Detected after Stroke... by 张栗源1，刘涛2，姜勇1，李子孝1，3，王拥军1，3，杨晓萌1，3(ZHANG Liyuan1, LIU Tao2, JIANG Yong1, LI Zixiao1,3, WANG Yongjun1,3, YANG Xiaomeng1,3 )

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Prognostic prediction of gastric cancer based on H&E findings and machine learning pathomics by Guoda Han, Xu Liu, Tian Gao, Lei Zhang, Xiaoling Zhang, Xiaonan Wei, Yecheng Lin, Bohong Yin

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