Modelling on Car-Sharing Serial Prediction Based on Machine Learning and Deep Learning by Nihad Brahimi, Huaping Zhang, Lin Dai, Jianzi Zhang

“…After comparing the obtained results using different metrics, we found that CNN-LSTM outperformed other methods to predict the future car usage. Meanwhile, the model using all the different feature categories results in the most precise prediction than any of the models using one feature category at a time…”
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Predictive modeling of visible-light azo-photoswitches’ properties using structural features by Said Byadi, P. K. Hashim, Pavel Sidorov

“…The predictions of absorption wavelengths for this set are highly accurate; on the other hand, the model for thermal half-life is less reliable, likely due to the modest size of the data set related to half-life of photoisomers, although consensus modeling approach allows to improve the predictivity. …”
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Heartbeat information prediction based on transformer model using millimetre‐wave radar by Bojun Hu, Biao Jin, Hao Xue, Zhenkai Zhang, Zhaoyang Xu, Xiaohua Zhu

“…This study proposes a heartbeat prediction method based on the transformer model using millimetre‐wave radar. …”
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The impact of CNN MHAM-enhanced WRF and BPNN models for user behavior prediction by Kaixin Zheng, Zhensen Liang

“…Abstract To address the challenge of user behavior prediction on artificial intelligence (AI)-based online education platforms, this study proposes a novel ensemble model. …”
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Quantifying Suicide Risk in Prostate Cancer: A SEER-Based Predictive Model by Jiaxing Du, Fen Zhang, Weinan Zheng, Xue Lu, Huiyi Yu, Jian Zeng, Sujun Chen

“…Time-dependent ROC analysis indicated strong accuracy in predicting suicide risk. Calibration plots displayed high concordance between predicted probabilities and actual outcomes, Kaplan-Meier analysis confirmed the model’s significant discriminative ability among risk groups. …”
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Using Gradient Boosting Regression to Improve Ambient Solar Wind Model Predictions by R. L. Bailey, M. A. Reiss, C. N. Arge, C. Möstl, C. J. Henney, M. J. Owens, U. V. Amerstorfer, T. Amerstorfer, A. J. Weiss, J. Hinterreiter

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Design and Application of Offset-Free Model Predictive Control Disturbance Observation Method by Xue Wang, Baocang Ding, Xin Yang, Zhaohong Ye

“…Model predictive control (MPC) with its lower request to the mathematical model, excellent control performance, and convenience online calculation has developed into a very important subdiscipline with rich theory foundation and practical application. …”
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Prediction of China’s Silicon Wafer Price: A GA-PSO-BP Model by Jining Wang, Hui Chen, Lei Wang

“…The BP (Back-Propagation) neural network model (hereafter referred to as the BP model) often gets stuck in local optima when predicting China’s silicon wafer price, which hurts the accuracy of the forecasts. …”
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Intelligent Trajectory Planning for Autonomous Vehicles via Adaptive Model Predictive Control by Catarina Goncalves, M. do Rosario Calado, Nuno Pombo

Subjects: “…Adaptive model predictive control (AMPC)…”
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Modeling and Prediction of Conducted Interference ofElectric Vehicle Motor Drive System by LIU Songlin, YANG Tianfan, ZHI Yongjian, MIN Jianjun

“…At present, EMI suppression for this port is usually based on empirical trial and error method in the industry, which lacks a set of accurate system level EMI simulation prediction models for quantitative EMC risk assessment. …”
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AdditiveLLM: Large language models predict defects in metals additive manufacturing by Peter Pak, Amir Barati Farimani

“…In this work we investigate the ability of large language models to predict additive manufacturing defect regimes given a set of process parameter inputs. …”
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Complex Model for Hot Metal Temperature Prediction: Torpedo Car and Ladle Processes by Milan Durdán, Ján Terpák, Marek Laciak, Ján Kačur, Patrik Flegner, Gabriel Tréfa

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Explicit and Implicit Feature Contrastive Learning Model for Knowledge Graph Link Prediction by Xu Yuan, Weihe Wang, Buyun Gao, Liang Zhao, Ruixin Ma, Feng Ding

“…The results validate that our model outperforms the state-of-the-art baselines in link prediction tasks.…”
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Improved epigenetic age prediction models by combining sex chromosome and autosomal markers by Zhong Wan, Peter Henneman, Huub C. J. Hoefsloot, Ate D. Kloosterman, Pernette J. Verschure

“…Abstract Background Alterations in epigenetic DNA methylation (DNAm) can be used as an accurate and robust method for biological age prediction. We assessed the feasibility of incorporating sex chromosomal DNAm markers into a six autosomal DNAm CpG marker-based age prediction model, since DNAm-based prediction modeling has predominantly relied on analyzing DNAm patterns on autosomes. …”
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Performance Comparison of Basic Pesticide Residue Prediction Models in Domestic Agricultural Environments by Hyun-Geoun Park, Sang-Ik Suh, Bum-Seok Lee, Hyo-Sub Lee, Seo Jin Ki

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Deterioration Models and Service Life Prediction of Vertical Assets of Urban Water Systems by M. Cabral, D. Loureiro, C. Amado, D. Covas

Subjects: “…deterioration models…”
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Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

“…However， the traditional model has the problem of insufficient time-trend learning ability and error accumulation in multistep photovoltaic power prediction， which limits the improvement of prediction accuracy. …”
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A Decreasing Horizon Model Predictive Control for Landing Reusable Launch Vehicles by Guillermo Zaragoza Prous, Enric Grustan-Gutierrez, Leonard Felicetti

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A Modified Fatigue Damage Model for High-Cycle Fatigue Life Prediction by Meng Wang, Qingguo Fei, Peiwei Zhang

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Nonequilibrium Molecular Velocity Distribution Functions Predicted by Macroscopic Gas Dynamic Models by Maksim Timokhin, Yevgeniy Bondar

“…In the present study, abilities of various macroscopic models (Navier–Stokes–Fourier, Burnett, original and regularized Grad’s 13-moment equations) in predicting the nonequilibrium molecular velocity distribution are examined. …”
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