Deciphering the Mechanism of Better Predictions of Regional LSTM Models in Ungauged Basins by Qiang Yu, Liguang Jiang, Raphael Schneider, Yi Zheng, Junguo Liu

“…The long short‐term memory (LSTM) model has gained popularity in rainfall‐runoff prediction in recent years and has proven applicable in PUB. …”
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Prediction model for chemical explosion consequences via multimodal feature fusion by Yilin Wang, Beibei Wang, Yichen Zhang, Jiquan Zhang, Yijie Song, Shuang-Hua Yang

“…Scientific Contributions This study constructed a Bayes-Transformer-SVM model for predicting the consequences of hazardous chemical explosions. …”
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Model Predictive Control of Demagnetization Vibration in Permanent Magnet Synchronous Motor by Wantai Liu, Bifeng Zhou

“…This article proposes a new nonlinear processing method combined with model predictive control (MPC) to study the demagnetization vibration problem of permanent magnet synchronous motors (PMSMs). …”
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Development of Machine Learning Models for Sandface Pressure Prediction in Oil Well by Lorraine P. Oliveira, Raul M. Foronda, Alexandre V. Grillo, Brunno F. dos Santos

“…4, demonstrating that RTA data effectively supports BHP prediction and that DT models are well-suited for this application. …”
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GIS-based multi-criteria predictive modelling for geothermal energy exploration by Andongma Wanduku Tende, Mamidak Miner Iiiya, Serah Habu, Jiriko Nzeghi Gajere, Shekwonyadu Iyakwari, Mohammed Dahiru Aminu

“…Spatial and statistical analysis including the attribute correlation analysis was used to evaluate the relationship between exploration data and geothermal energy resources represented by hot springs. The weighted sum model was then used to develop geothermal predictive maps while the accuracy of prediction was determined using the receiver operating characteristic/area under curve (ROC/AUC) analysis. …”
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Sensor-validated simulations predict fracture healing outcomes in an ovine model by Alicia Feist, Carla Hetreau, Manuela Ernst, Peter Varga, Peter Schwarzenberg

“…The potential of the simulation to predict healing patterns and to be used as a tool for non-union risk assessment was illustrated. …”
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Developing a rapid predictive model for falls in older hospitalized patients by Mengmeng Hu, Mengmeng Hu, Sujuan Lu, Jiangan Guan, Wenqian Deng, Yu Hu, Yao Huang, Keying Li, Mengdan He, Zhiyi Wang, Zhiyi Wang, Zhiyi Wang, Chan Chen, Chan Chen, Chan Chen, Xiufang Chen

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Tumor-associated macrophage-based predictive and prognostic model for hepatocellular carcinoma. by Changquan Shang, Tiancong He, Yi Zhang

“…Applying our model to multiple HCC cohorts, robust predictive and prognostic performances were observed. …”
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A machine learning model for the prediction of hail-affected area in Germany by Siyu Li, Peter Knippertz, Michael Kunz, Jannik Wilhelm, Julian Quinting

“…Sensitivity analysis highlights CAPESHEAR as the dominant predictor influencing model decisions. These findings demonstrate the potential of ML-based hail prediction using only convective environmental parameters. …”
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Research on Adaptive Model Predictive Control Algorithm for Remotely Operated Vehicle by ZHU Yinggu, ZHANG Dinghua, TU Shaoping, SONG Junhui

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Construction and validation of a presenteeism prediction model for ICU nurses in China by Jijun Wu, Yuxin Li, Yuxin Li, Xiaoli Liu, Yuting Fan, Ping Dai, Baixia Chen, Zhenfan Liu, Xian Rong, Xiaoli Zhong

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Prediction of gastrointestinal hemorrhage in cardiology inpatients using an interpretable XGBoost model by Yahui Li, Xujie Wang, Xuhui Liu

“…We developed an interpretable and practical machine learning model to predict the risk of GIB in cardiology inpatients. …”
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Development and validation of a predictive model for the risk of endocervical curettage positivity by Fang Feng, Hui-hui Tuo, Jin-meng Yao, Wei-hong Wang, Feng-lan Guo, Rui-fang An

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Prediction models for scour depth around circular compound bridge piers by Siva Krishna Reddy, Venu Chandra

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Fair and Transparent Student Admission Prediction Using Machine Learning Models by George Raftopoulos, Gregory Davrazos, Sotiris Kotsiantis

“…This paper explores the development and evaluation of machine learning models designed to predict student admissions while prioritizing fairness and interpretability. …”
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Machine learning model to predict sepsis in ICU patients with intracerebral hemorrhage by Lei Tang, Ye Li, Ji Zhang, Feng Zhang, Qiaoling Tang, Xiangbin Zhang, Sai Wang, Yupeng Zhang, Siyuan Ma, Ran Liu, Lei Chen, Junyi Ma, Xuelun Zou, Tianxing Yao, Rongmei Tang, Huifang Zhou, Lianxu Wu, Yexiang Yi, Yi Zeng, Duolao Wang, Le Zhang

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Revolutionizing pharmacology: AI-powered approaches in molecular modeling and ADMET prediction by Irfan Pathan, Arif Raza, Adarsh Sahu, Mohit Joshi, Yamini Sahu, Yash Patil, Mohammad Adnan Raza, Ajazuddin

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Point Transformer Network-Based Surrogate Model for Spatial Prediction in Bridges by Javier Grandío, Brais Barros, Manuel Cabaleiro, Belén Riveiro

“…To overcome this computational limitation, this paper presents an innovative deep learning-based surrogate model for predicting local displacements in bridge structures. …”
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Event-triggered boost converter model predictive control with Kalman filter by Ranya Badawi, Jun Chen

Subjects: “…Model predictive control…”
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Clinical risk prediction models: the canary in the coalmine for artificial intelligence in healthcare? by John Ainsworth, Videha Sharma, Angela Davies

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