LOGISTIC REGRESSION MODELING OF REDUCTANT HERBICIDE IN PAGARALAM COFFEE FARMING by Irmeilyana Irmeilyana, Ngudiantoro Ngudiantoro, Sri Indra Maiyanti, Siddiq Makhalli

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Leveraging Potentials of Local and Global Models for Water Demand Forecasting by Matthias Groß, Lukas Hans

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Real-Time Run-Off-Road Risk Prediction Based on Deep Learning Sequence Forecasting Approach by Yunteng Chen, Lijun Wei, Qiong Bao, Huansong Zhang

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Torus reduction of maximal conformal supergravity by Franz Ciceri, Axel Kleinschmidt, Subrabalan Murugesan, Bindusar Sahoo

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Integrating Machine Learning-Based Remaining Useful Life Predictions with Cost-Optimal Block Replacement for Industrial Maintenance by Young-Suk Choo, Seung-Jun Shin

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Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive Control by Ricardo Felez, Jesus Felez

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Time-division prediction method for peak power of distributed new energy access power grid based on ARIMA–RBF by Yangrui Zhang, Junpeng Zhao, Chao Zhang, Bingyu Zhang, Xiaoyu Liu, Shaokang Feng

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Potential Barriers to Adaptive Actions in Water–Rice Coupled Systems in Japan: A Framework for Predicting Soft Adaptation Limits by Asari Takada, Takeo Yoshida, Yasushi Ishigooka, Atsushi Maruyama, Ryoji Kudo

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IoT-Based Traffic Prediction for Smart Cities by Zhinong Miao, Qilong Liao

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An explainable and supervised machine learning model for prediction of red blood cell transfusion in patients during hip fracture surgery by Yongchang Zhou, Suo Wang, Zhikun Wu, Weixing Chen, Dong Yang, Chaojin Chen, Gaofeng Zhao, Qingxiong Hong

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Development of a clinical prediction model for intra-abdominal infection in severe acute pancreatitis using logistic regression and nomogram by Rui Qi, He-Bin Wang, Ren-Ying Luo, Jing Li, Li Su

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Optimization of Adaptive Cruise Control Strategies Based on the Responsibility-Sensitive Safety Model by Tengwei Yu, Yubin Tang, Renxiang Chen, Shuen Zhao

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An efficient parallel runoff forecasting model for capturing global and local feature information by Yang-hao Hong, Dong-mei Xu, Wen-chuan Wang, Hong-fei Zang, Xiao-xue Hu, Yan-wei Zhao

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Hyperparameter Optimization of Neural Networks Using Grid Search for Predicting HVAC Heating Coil Performance by Yosef Jaber, Pasidu Dharmasena, Adam Nassif, Nabil Nassif

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Utilizing Radiomics as Predictive Factor in Brain Metastasis Treated With Stereotactic Radiosurgery: Systematic Review and Radiomic Quality Assessment by Abdulrahman Umaru, Hanani Abdul Manan, Ramesh Kumar Athi Kumar, Siti Khadijah Hamsan, Noorazrul Yahya

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An explainable machine learning model for predicting the risk of distant metastasis in intrahepatic cholangiocarcinoma: a population-based cohort study by Jinzhe Bi, Yaqun Yu

“…Conclusion The GBM model demonstrated considerable potential in predicting the risk of DM in ICC patients. …”
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Development of a flexible feature selection framework in radiomics-based prediction modeling: Assessment with four real-world datasets by Sungsoo Hong, Sungjun Hong, Eunsun Oh, Won Jae Lee, Woo Kyoung Jeong, Kyunga Kim

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A nomogram model for predicting maternal cardiovascular complications and neonatal adverse outcomes in pregnant patients with pulmonary arterial hypertension by Ruilin Ma, Jianjian Cui, Yanfang Zheng, Hui Tao, Wencong He, Zejun Yang, Yanan Li, Yin Zhao

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Machine learning-based real-time prediction of duodenal stump leakage from gastrectomy in gastric cancer patients by Jae Hun Chung, Jae Hun Chung, Jae Hun Chung, Yushin Kim, Dongjun Lee, Dongwon Lim, Dongwon Lim, Dongwon Lim, Sun-Hwi Hwang, Sun-Hwi Hwang, Sun-Hwi Hwang, Si-Hak Lee, Si-Hak Lee, Si-Hak Lee, Woohwan Jung

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Development and validation of a risk prediction model for hypoproteinemia after adult cardiac valve surgery: implications for clinical care by Fang Wang, Zhen-zhen Su, Xiao-qian Guo, Man Li, Rui Wang, Yan-jun Xu

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