Computerised Method of Multiparameter Optimisation of Predictive Control Algorithms for Asynchronous Electric Drives by Grygorii Diachenko, Serhii Semenov, Katarzyna Marczak, Gernot Schullerus, Ivan Laktionov

“…A computer model was designed in MATLAB and Simulink R2024a based on the gradient-based model predictive control strategy. …”
Get full text

Heuristic Binary Search for Modulated Predictive Control by Rafael FIgueiredo, Igor Oliani, Angelo Lunardi, Alfeu J. Sguarezi Filho

Subjects: Get full text

Construction and validation of a predictive model for the risk of rebleeding in patients with esophageal and gastric varices hemorrhage by Wei Gao, Yu-Shuang Huang, Ying-De Wang

Subjects: Get full text

Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data by Matthew Alberts, Sam St. John, Simon Odie, Anahita Khojandi, Bradley Jared, Tony Schmitz, Jaydeep Karandikar, Jamie B. Coble

“…The study applies a Random Forest classification model trained on over 140,000 simulated machining datasets, incorporating techniques like Operational Modal Analysis (OMA), Receptance Coupling Substructure Analysis (RCSA), and Transfer Learning (TL) to adapt the model for real-world operational data. …”
Get full text

A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques by Cong Peng, Cheng Gong, Xiaoya Zhang, Duxian Liu

“…Additionally, Shapley Additive Explanations (SHAP) were applied to interpret feature importance within the model, revealing the clinical factors that influence survival predictions.ResultsAmong the nine models, the lightGBM model exhibited the best performance, with an AUC and F1 score of (0.8, 0.809) for 1-year survival prediction, (0.809, 0.751) for 3-year survival prediction, and (0.773, 0.611) for 5-year survival prediction. …”
Get full text

Prognosis of Pediatric Dilated Cardiomyopathy: Nomogram and Risk Score Models for Predicting Death/Heart Transplantation by Bowen Xu, Yue Yuan, Lu Gao, Zhiyuan Wang, Zhenyu Lv, Wen Yu, Hongfang Jin, Zhen Zhen, Zhihui Zhao, Jia Na, Aihua Hu, Yanyan Xiao

Subjects: Get full text

Establishment and validation of a predictive model for Lobar pneumonia caused by Mycoplasma pneumoniae infection in children by Yonghan Luo, Houxi Bai, Feng jiao, Yan Guo, Xiaotao Yang, Yanchun Wang

Subjects: Get full text

Construction and Validation of a Predictive Model for Mortality Risk in Patients with Acinetobacter baumannii Bloodstream Infection by Li X, Cai D, Mei C, Huang X

Subjects: “…acinetobacter baumannii﹒bloodstream infection﹒predictive model﹒septic shock…”
Get full text

Development and validation of a clinical prediction model for osteoporosis diagnosis by lumbosacral X-ray and radiomics by Xiaofeng Chen, Xiaofeng Chen, Dongling Cai, Dongling Cai, Hao Li, Weijun Guo, Qian Li, Qian Li, Jinjun Liang, Junxian Xie, Jincheng Liu, Zhen Xiang, Wenxuan Dong, Sihong OuYang, Zhuozheng Deng, Qipeng Wei

Subjects: Get full text

Design and Simulation Verification of Model Predictive Attitude Control Based on Feedback Linearization for Quadrotor UAV by Xingyu Yuan, Jinfa Xu, Shengwei Li

Subjects: Get full text

Predictive models for strength properties of sustainable mortars containing waste concrete powder: an empirical approach by Eric Ababio Ohemeng, Molusiwa S. Ramabodu, Nana-Addy Edward

Subjects: Get full text

Predictability of Flight Arrival Times Using Bidirectional Long Short-Term Memory Recurrent Neural Network by Vladimir Socha, Miroslav Spak, Michal Matowicki, Lenka Hanakova, Lubos Socha, Umer Asgher

Subjects: Get full text

A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes by Chang Gong, Jennifer J. Linderman, Denise Kirschner

“…How the fate of individual granulomas influence overall infection outcome at host scale is not understood, although computational models have been developed to predict single granuloma behavior. …”
Get full text

A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud by Zeyu Wang, Xiaofang Chen, Yiwei Wu, Linke Jiang, Shiming Lin, Gang Qiu

“…We then applied ensemble techniques, including Voting, Weighted, and Stacking methods, to combine different models and compare their performances. Feature interpretation was achieved through partial dependence plots (PDP), SHAP, and LIME, allowing us to understand each feature’s impact on the predictions. …”
Get full text

Dynamic weighted ensemble model for predictive optimization in green sand casting: Advancing industry 4.0 manufacturing by Rajesh V․ Rajkolhe, Dr. Sanjay S․ Bhagwat, Dr. Priyanka V․ Deshmukh

“…This research presents an enhanced predictive model for green sand casting, designed to tackle the nonlinear complexities arising from interdependent process parameters. …”
Get full text

Modelling chelate-Induced phytoextraction: functional models predicting bioavailability of metals in soil, metal uptake and shoot biomass by Pasqualina Sacco, Fabrizio Mazzetto, Luca Marchiol

“…Contrariwise, the distribution strategy (single vs. split application) seems to produce significant differences both in plant growth and metal uptake, but not in soil metal bioavailability. The proposed models may help to understand and predict the chelate dose – effect relationship with less experimental work.…”
Get full text

Application of Mechanistic Models and the Gaussian Process Model to Predict Bacterial Growth on Baby Spinach During Refrigerated Storage by Sriya Sunil, Sarah I. Murphy, Ruixi Chen, Wei Chen, Joseph Guinness, Li-Qun Zhang, Renata Ivanek, Martin Wiedmann

“…Models that predict bacterial growth in food products can help industry with decision-making with regard to microbial food spoilage. …”
Get full text

A comparative analysis of classical machine learning models with quantum-inspired models for predicting world surface temperature by Trilok Nath Pandey, Vishvajeet Ravalekar, Sidharth D. Nair, Sunil Kumar Pradhan

“…As the amount and complexity of time-series data in numerous fields continues to expand, the investigation of advanced computational models becomes critical for efficient analysis and prediction. …”
Get full text

A dynamic prediction method for surface mining subsidence based on dynamic probability integral model and Logistic model by Lei HAN, Xinxin QI, Tianjun WANG, Chunmin PEI, Xudong WANG

Subjects: Get full text

Performance Comparison between the Specific and Baseline Prediction Models of Ecotoxicity for Pharmaceuticals: Is a Specific QSAR Model Inevitable? by Qingwei Bu, Qingshan Li, Yun Liu, Chun Cai

“…Nonetheless, it should be noted that 95% prediction intervals spread over approximately four orders of magnitude for both tested QSAR models specifically for pharmaceuticals.…”
Get full text