Renewable Generation (Wind/Solar) and Load Modeling through Modified Fuzzy Prediction Interval by Syed Furqan Rafique, Zhang Jianhua, Rizwan Rafique, Jing Guo, Irfan Jamil

“…In order to check the efficiency of the proposed method, a comparison is carried out with the existing models. The fuzzy interval-based model for the microgrid test bed will help to formulate the energy management problem with more accuracy and robustness.…”
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Polygenic risk scores in cardiovascular risk prediction: A cohort study and modelling analyses. by Luanluan Sun, Lisa Pennells, Stephen Kaptoge, Christopher P Nelson, Scott C Ritchie, Gad Abraham, Matthew Arnold, Steven Bell, Thomas Bolton, Stephen Burgess, Frank Dudbridge, Qi Guo, Eleni Sofianopoulou, David Stevens, John R Thompson, Adam S Butterworth, Angela Wood, John Danesh, Nilesh J Samani, Michael Inouye, Emanuele Di Angelantonio

“…The C-index, a measure of risk discrimination, was 0.710 (95% CI 0.703-0.717) for a CVD prediction model containing conventional risk predictors alone. …”
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Mathematical Model to Estimate and Predict the COVID-19 Infections in Morocco: Optimal Control Strategy by Omar Zakary, Sara Bidah, Mostafa Rachik, Hanane Ferjouchia

“…In this paper, we aim to estimate and predict the situation of the new coronavirus pandemic (COVID-19) in countries under quarantine measures. …”
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Research on a Grey Prediction Model of Population Growth Based on a Logistic Approach by Mingyu Tong, Zou Yan, Liu Chao

“…To address the disadvantages of the two models, this paper establishes a grey logistic population growth prediction model, based on the modeling mechanism of the grey prediction model and the characteristics of the logistic model, which uses the least-squares method to estimate the maximum population capacity. …”
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Using computational modeling and four-dimensional computed tomography to predict type II endoleaks by Leah M. Gober, MD, Alan Dardik, MD PhD

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Modeling the prediction of spontaneous rupture and bleeding in hepatocellular carcinoma via machine learning algorithms by Juchao Chen, Zicheng Lei, Zongcai Duan, Zhili Wen

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Deep Learning Python-Based Time-Series Model for Oil Palm Yield Prediction by Yuhao Ang, Helmi Zulhaidi Mohd Shafri, Yang Ping Lee, Shahrul Azman Bakar, Haryati Abidin, Mohd Umar Ubaydah Mohd Junaidi, Hwee San Lim, Rosni Abdullah, Yusri Yusup, Syahidah Akmal Muhammad, Teh Sin Yin

“…The application of time-series analysis in agricultural yield forecasting has gained much attention in recent years with the use of machine learning models. However, the utilization of Python-based time-series models for predicting oil palm yield remains limited. …”
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Fault Prediction Of Pharmaceutical Air Compressor Using The Intelligent Model Based On The Bayesian Network by Mohamed AMRANI, Djamel BENAZZOUZ

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Prediction of cardiovascular disease based on multiple feature selection and improved PSO-XGBoost model by Kerang Cao, Chang Liu, Siqi Yang, Yuxin Zhang, Lili Li, Hoekyung Jung, Shuo Zhang

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WEST L-mode record long pulses guided by predictions using Integrated Modeling by T. Fonghetti, P. Manas, R. Dumont, J.-F. Artaud, C. Bourdelle, F.J. Casson, N. Cummings, L.F. Delgado-Aparicio, P. Maget, J. Morales, Y. Savoye-Peysson, M. Schneider, the WEST team

“…In particular, a reduced model for Lower-Hybrid heating and Current-Drive (LHCD) and the quasi-linear turbulent transport model TGLF are crucial for long pulses predictions up to the Last Closed Flux Surface (LCFS). …”
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Shale Gas Transition in China: Evidence Based on System Dynamics Model for Production Prediction by Yingchao Chen, Yang Zhang

“…Finally, based on parameter assumptions, this study predicts the production trends in shale gas in China under multiple scenarios. …”
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The IVMD-CNN-GRU-Attention Model for Wind Power Prediction With Sample Entropy Fusion by Dongfang Ren, Jiaqing Ma, Hongjv Liu, Yongjie Li, Changsheng Chen, Tao Qin, Zhiqin He, Qinmu Wu

“…To enhance the accuracy of wind power prediction, we introduce a novel prediction method: the IVMD-CNN-GRU-Attention model integrated with sample entropy fusion. …”
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Significant Improvement in Short-Term Green-Tide Transport Predictions Using the XGBoost Model by Menghao Ji, Chengyi Zhao

“…This paper proposes a short-term green-tide drift prediction method that combines green-tide patch characteristics, 1 h interval drift distances from GOCI-II images, and driving-factor data using the XGBoost machine learning model to enhance prediction accuracy. …”
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Prediction of Grain Yield in Henan Province Based on Grey BP Neural Network Model by Bingjun Li, Yifan Zhang, Shuhua Zhang, Wenyan Li

“…The predicted values from the metabolic GM (1, 1) model for key variables was used as input to the best BPNN model for prediction modeling, and a grey BP neural network model prediction model (GR-BPNN) was proposed. …”
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A Novel Data Driven Model for Voltage Stability Status Prediction and Instability Mitigation by F. Kh. Alabbas, M. Khalilifar, S. M. Shahrtash, D. A. Khaburi

“…This paper presents a novel data-driven model for real time voltage instability diagnosis and instability mitigating. …”
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Risk Factors and Prediction Model for Postoperative Pneumonia Following Hip Arthroplasty in Older Adults by Xiang B, Zhang J, Deng C, Yang H, Qian L, Zhang W

“…The Brier score of the calibration curve was 0.103 (close to 0), and decision curve analysis indicated that the threshold probability of the model ranged from 0.01 to 0.8, with net benefits greater than 0 across all probabilities, suggesting the model has good accuracy and clinical utility.Conclusion: We identified six important predictors—ASA grade, ICU admission, preoperative anemia, CKMB, BNP, and postoperative AST levels—and developed a risk prediction model for postoperative pneumonia following hip arthroplasty in older adults, providing a valuable reference for its prevention in this population.Keywords: arthroplasty, replacement, hip, pneumonia, risk factors, prediction algorithms, aged…”
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MSTT: A Multi-Spatio-Temporal Graph Attention Model for Pedestrian Trajectory Prediction by Qingrui Zhang, Xuxiu Zhang, Zilang Ye, Jing Mi

“…Evaluations using two challenging datasets reveal that the MSTT model markedly outperforms traditional trajectory-based modeling methods in predictive performance.…”
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An accurate pediatric bone age prediction model using deep learning and contrast conversion by Dong Hyeok Choi, So Hyun Ahn, Rena Lee

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A swarm-optimization based fusion model of sentiment analysis for cryptocurrency price prediction by Dimple Tiwari, Bhoopesh Singh Bhati, Bharti Nagpal, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…The objective of the proposed model is to introduce a benchmark sentiment analysis model for predicting cryptocurrency prices, which will be helpful for other societal sentiment predictions. …”
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Residual Life Prediction of Pneumatic Control Valves Based on Trans-TCN-GRU Modeling by Guoning Li, Jinjin Chen, Yongting Tao, Anxu Li, Xinwang Zhang

“…This resulted in a hybrid neural network model that uses full-scale data for predicting the remaining useful life of control valves. …”
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