Prediction Model of Pipeline Push Resistance in Tunnels by Lianmin Cao, Mingxing Zhu, Dekang Zhang, Ying Zhen, Xu Zhang, Yuguang Cao

“…Accurate determination of pipeline push resistance and the selection of an appropriate pipe pusher model are crucial factors for successful construction. …”
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Modeling and Prediction of Ride-Sharing Utilization Dynamics by Tal Altshuler, Yaniv Altshuler, Rachel Katoshevski, Yoram Shiftan

“…This feature space is then used to model the dynamics of ride-sharing utilization over time. …”
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AI model for predicting asthma prognosis in children by Elham Sagheb, MS, Chung-Il Wi, MD, Katherine S. King, MS, Bhavani Singh Agnikula Kshatriya, MS, Euijung Ryu, PhD, Hongfang Liu, PhD, Miguel A. Park, MD, Hee Yun Seol, MD, Shauna M. Overgaard, PhD, Deepak K. Sharma, PhD, Young J. Juhn, MD, Sunghwan Sohn, PhD

“…The prediction model at age 12 showed the highest performance. …”
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Air Quality Prediction Model for Monitoring AQI by Das Aritra, Gupta Himanshu

“…This research proposes a complete framework that incorporates deep learning models—specifically Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) networks—with ensemble learning methods, particularly Extreme Gradient Boosting (XGBoost), to predict AQI. …”
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Macroscopic Modelling of Predicted Automated Vehicle Emissions by Mohammed Obaid, Arpad Torok

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Predicting fetal growth retardation: mathematical modeling by E. V. Kudryavtseva, V. V. Kovalev, A. A. Dektyarev, I. I. Baranov

“…The method developed for predicting FGR can be used in clinical practice to form risk groups for FGR development and choose tactics for pregnancy management.…”
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An interpretable machine learning model to predict hospitalizations by Hagar Elbatanouny, Hissam Tawfik, Tarek Khater, Anatoliy Gorbenko

“…Feature importance analysis and dimensionality reduction techniques are employed to enhance models predictive performance. The best model was Gradient Boosting algorithm with an accuracy of 85.63% and AUC score of 0.8696. …”
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Development of Bankruptcy Prediction Model for Latvian Companies by Arnis Stasko, Ilze Birzniece, Girts Kebers

“…We propose an extended company performance prediction model that considers other factors that influence distress risk, e.g., changes in regulation and other environmental factors. …”
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Pedestrian Vision Language Model for Intentions Prediction by Farzeen Munir, Shoaib Azam, Tsvetomila Mihaylova, Ville Kyrki, Tomasz Piotr Kucner

Subjects: “…Pedestrian intention prediction…”
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Statistical methods for dementia risk prediction and recommendations for future work: A systematic review by Jantje Goerdten, Iva Čukić, Samuel O. Danso, Isabelle Carrière, Graciela Muniz‐Terrera

“…Abstract Introduction Numerous dementia risk prediction models have been developed in the past decade. …”
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A Mode Selected Mixed Logic Dynamic Model and Model Predictive Control of Buck Converter by Lei Jiang, Enliang Liu, Ding Liu

“…In establishing the hybrid system model, the factors such as the inductor current are neglected, and the Model Predictive Control (MPC) is used to switch the most favorable working state of the control target. …”
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Robust Model-Free Predictive Torque Control for Induction Motor Drive Based on an Ultralocal Model by Md. Belal Hossen, Md. Habibullah

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A Model Predictive Control Strategy with Minimum Model Error Kalman Filter Observer for HMEV-AS by Ying Zhou, Chenlai Liu, Zhongxing Li, Yi Yu

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Current progress in subseasonal-to-decadal prediction based on machine learning by Zixiong Shen, Qiming Sun, Xinyu Lu, Fenghua Ling, Yue Li, Jiye Wu, Jing-Jia Luo, Chaoxia Yuan

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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

“…This study aimed to develop prognostic models for predicting renal graft survival and compare the performance of statistical and machine learning models. …”
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A subregional prediction model for radiation-induced hypothyroidism by Wenting Ren, Ziqi Pan, Kuo Men, Bin Liang, Qingfeng Xu, Junlin Yi, Jianrong Dai

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Roughness Prediction Based on a Model of Cochlear Hydrodynamics by Václav VENCOVSKÝ

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Prospective Models of Financial Forecasting of budget Revenues by A. K. Karaev, O. V. Borisova

Subjects: “…predictive model…”
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Clinical and anamnestic factors of epilepsy development and course in children with cerebral palsy by V. P. Zykov, F. A. Murachueva, N. V. Chebanenko, R. M. Alieva

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On the interpretability of the SVM model for predicting infant mortality in Bangladesh by Md Abu Sayeed, Azizur Rahman, Atikur Rahman, Rumana Rois

“…Abstract Background Although machine learning (ML) models are well-liked for their outperformance in prediction, greatly avoided due to the lack of intuition and explanation of their predictions. …”
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