Event-triggered boost converter model predictive control with Kalman filter by Ranya Badawi, Jun Chen

Subjects: “…Model predictive control…”
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Predictive modeling of telemedicine implementation in central Asia using neural networks by Zhannur ABDRAKHMANOVA, Talgat DEMESSINOV, Kadisha JAPAROVA, Monika KULISZ, Gulzhan BAYTIKENOVA, Ainur KARIPOVA, Zhansaya ERSAINOVA

“…The predictive model showed excellent accuracy, as evidenced by a very strong correlation between predicted and observed values (R = 0.99245). …”
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A predictive model for Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis by Rui Huang, Rui Huang, Dan Wu, Dan Wu, Ling Wang, Ling Wang, Ping Liu, Ping Liu, Xiaoru Zhu, Xiaoru Zhu, Leqiu Huang, Leqiu Huang, Mengmeng Chen, Mengmeng Chen, Xin Lv, Xin Lv

“…These results suggested that the model was highly stable and accurate. Furthermore, calibration curves and clinical decision curves indicated that the model possessed good calibration and offered significant clinical benefits.ConclusionsThe nomogram, which was based on these five predictors, exhibited robust predictive value and stability, thereby can be used to aid clinicians in the early detection of EBV-HLH.…”
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The relationship between anxiety disorders and alcohol use: predictors and predictive modeling by Dmitriy S. Radionov, Tatiana A. Karavaeva

“…Using CHAID analysis and logistic regression, researchers developed a predictive model with high accuracy (AuROC=0.937), which takes into account both clinical and individual psychological characteristics. …”
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Predictive model of malignancy probability in pulmonary nodules based on multicenter data by Yuyan Huang, Yong Chen, Fang He, Li Jiang

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Unplanned cesarean sections in advanced maternal age: A predictive model by Joyce Veenstra, Zoë Cohen, Fleurisca J. Korteweg, David P. van derHam, Simone M. Kuppens, Janna A. Kroese, Brenda B. Hermsen, Marije M. Kamphuis, Joost W. Vanhommerig, Maria G. vanPampus

“…Subsequently, a predictive model and risk scores were constructed to predict unplanned cesarean section. …”
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Predictive Modeling of Tool Life in Turning Using ANN-Taguchi Hybridization by Shrishail Sollapur B., Shubham R. Suryawanshi, Mitali Mhatre S., Dipak K. Dond, Ganesh Chate, Abhijit Bhowmik

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Predictive modeling of 3D reconstruction trajectories for potential programmable materials by Yechun Jin, Jie Li, Qi Yu, Panghua Tian

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Predictive model of ulcerative colitis syndrome with ensemble learning and interpretability methods by Ling Zhu, Shan He, Wanting Zheng, Yuanyuan Tong, Feng Yang

“…To bridge this gap, we propose an ensemble prediction model enhanced with SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) to improve interpretability and clinical utility. …”
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Deep Learning-Driven Predictive Modelling for Optimizing Stingless Beekeeping Yields by Noor Hafizah Khairul Anuar, Mohd Amri Md Yunus, Muhammad Ariff Baharudin, Sallehuddin Ibrahim, Shafishuhaza Sahlan

“…The dataset extracted from the 6th of January 2024 to the 5th of February 2024, at a 15-minute time interval comprising a total of 2577 data points was analyzed using various deep learning approaches for best RMSE performance. A single-layer LSTM model with 50 units produced the best RMSE performance of 0.039, representing that the beehive weight was accurately predicted. …”
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Offset-Free Strategy by Double-Layered Linear Model Predictive Control by Tao Zou

“…In the real applications, the model predictive control (MPC) technology is separated into two layers, that is, a layer of conventional dynamic controller, based on which is an added layer of steady-state target calculation. …”
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Predictive modeling of flexible EHD pumps using Kolmogorov–Arnold Networks by Yanhong Peng, Yuxin Wang, Fangchao Hu, Miao He, Zebing Mao, Xia Huang, Jun Ding

“…We evaluated KAN on a dataset of flexible EHD pump parameters and compared its performance against RF, and MLP models. KAN achieved superior predictive accuracy, with Mean Squared Errors of 12.186 and 0.012 for pressure and flow rate predictions, respectively. …”
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Application predictive modelling of Penicillium roqueforti germination in environmental conditions in cake by Hassan Nakhchian, Farideh Tabatabaee Yazdi, Seyed Ali Mortazavi, Mohebat Mohebi

“…The results of analysis of variance (ANOVA) proved that environmental conditions affect germination significantly (P < 0.05). Predictive modelling illustrated that the temperature did not affect germination significantly, while no germination was seen at aw = 0.65. …”
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Regarding predictive model of immunological parameters for unexplained recurrent pregnancy loss by Qingzheng Hu, Xiaofang Xuan

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An explainable artificial intelligence model for predictive maintenance and spare parts optimization by Ufuk Dereci, Gülfem Tuzkaya

“…This study demonstrates that utilizing machine learning models in predictive maintenance is highly beneficial; however, the binary outcomes of these models can be misunderstood by decision-makers. …”
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Enhanced Modulated Model Predictive Control for Matrix Converters in Overmodulation Zones by Ali Sarajian, Quanxue Guan, Ibrahim Harbi, Davood Arab Khaburi, Ralph Kennel, Cristian Garcia, Patrick Wheeler, Jose Rodriguez

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Model Predictive Control for Charging Management Considering Mobile Charging Robots by Max Faßbender, Nicolas Rößler, Christoph Wellmann, Markus Eisenbarth, Jakob Andert

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Reinforcement learning-based model predictive control for greenhouse climate control by Samuel Mallick, Filippo Airaldi, Azita Dabiri, Congcong Sun, Bart De Schutter

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Disturbance rejection tube model predictive levitation control of maglev trains by Yirui Han, Xiuming Yao, Yu Yang

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PREDICTIVE MODELING OF STROKE OCCURRENCE USING PYTHON FOR IMPROVED RISK ASSESSMENT by Đorđe PUCAR, Vladimir ŠIMOVIĆ

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