Optimal fiber mix and prediction model for compressive strength of hybrid fiber reinforced concrete. by Ping Gao, Weihong Xie, Yongqiang Ling, Hongfa Xu

“…Compared with single steel fiber admixture and no fiber admixture, the mixing of hybrid fibers can significantly impact the failure mode of concrete. A novel mathematical model, based on the theory of composite mechanics, has been proposed to accurately predict the compressive strength of single steel fiber reinforced concrete and EC-HFRC, as evidenced by its close alignment with experimental data. …”
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Performance Comparison of Prediction of Hydraulic Jump Length Under Multiple Neural Network Models by Ziyuan Xu, Zirui Liu, Yingzi Peng

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A deep learning based prediction model for effective elastic properties of porous materials by Chang Liu, Ran Guo, Yangming Su

“…By using microstructure images as the input layer of the model, the mechanical properties under corresponding conditions can be directly predicted. …”
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Bridge Deflection Separation Prediction Model Based on DWT-LSTM and Its Engineering Application by ZHENG Shuai, JIANG He, WANG Zhongchang, DING Jia, YANG Yi

“…Fourthly, in order to demonstrate the necessity of the combined model for predicting bridge deflection, a comparative analysis was conducted between the proposed model and the single LSTM prediction model. …”
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Health literacy prediction models based on machine learning methods: a scoping review by PAN Xiang, TONG Yingge, LI Yixuan, NI Ke, CHENG Wenqian, XIN Mengyu, HU Yuying

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Research on multimodal social media information popularity prediction based on large language model by WANG Jie, WANG Zitong, PENG Yan, HAO Bowen

Subjects: “…large language model…”
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Development and evaluation of a machine learning model for osteoporosis risk prediction in Korean women by Minkyung Je, Seunghyeon Hwang, Suwon Lee, Yoona Kim

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Development and validation of a deep learning-enhanced prediction model for the likelihood of pulmonary embolism by Yu Tian, Yu Tian, Jingjie Liu, Shan Wu, Yucong Zheng, Rongye Han, Qianhui Bao, Lei Li, Lei Li, Tao Yang

“…These features were categorized and analyzed to identify potential relationships. Our prediction model uses a convolutional neural network (CNN), enhanced with three custom-designed modules for better performance. …”
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Link stability metric based on mobility prediction model in mobile ad hoc networks by ZHANG Hui1, DONG Yu-ning1

“…A mobility prediction model based stable link selection algorithm was proposed in which stable neighbor met-ric and local movement metric were defined.Mobility prediction model was applied to predict stability probabilities be-tween each local node and its neighbors by using those two metrics and LZ78 algorithm so as to find the most stable neighbor of each local node and most stable route in a route discovery.The simulation results show that the algorithm outperforms the histogram algorithm and the lowest ID algorithm in selecting stable links.…”
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Analyzing Crash Severity: Human Injury Severity Prediction Method Based on Transformer Model by Yalan Jiang, Xianguo Qu, Weiwei Zhang, Wenfeng Guo, Jiejie Xu, Wangpengfei Yu, Yang Chen

“…However, most accident prediction studies lack analytical predictions of injury severity, and predictive models rely on the content and quality of accident datasets. …”
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Dropout Prediction Model for College Students in MOOCs Based on Weighted Multi-feature and SVM by Zhang Yujiao, Ang Ling Weay, Shi Shaomin, Sellappan Palaniappan

“…Experimental results on both datasets show that this predictive model outperforms previous models that assign the same weights to the behavior features.…”
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A vision-language model for predicting potential distribution land of soybean double cropping by Bei Gao, Yuefeng Liu, Yanli Li, Hongmei Li, Meirong Li, Wenli He

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Combustion Field Prediction and Diagnosis via Spatiotemporal Discrete U-ConvLSTM Model by Xiaodong Huang, Xiaojian Hao, Baowu Pan, Shaogang Chen, Shenxiang Feng, Pan Pei

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Remaining useful life prediction of li-ion batteries based on an improved transformer model by Qingsong Wang, Annuo Yu, Hao Ding, Ming Cheng, Giuseppe Buja

“…With the rapid growth of new energy vehicles, it is a pressing need to enhance RUL prediction techniques. Under the development of artificial intelligence technology, physical methods no longer meet the needs of industrial Li-ion battery RUL prediction, so the data-driven model based on deep learning has become a hot spot. …”
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An Interpretable Model With Probabilistic Integrated Scoring for Mental Health Treatment Prediction: Design Study by Anthony Kelly, Esben Kjems Jensen, Eoin Martino Grua, Kim Mathiasen, Pepijn Van de Ven

“…The model aimed at enhancing the graphical interpretation of the model outputs and addressing issues of prediction explainability, confidence, and robustness. …”
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The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China. by Daren Zhao, Huiwu Zhang, Qing Cao, Zhiyi Wang, Sizhang He, Minghua Zhou, Ruihua Zhang

“…The results showed that the LSTM was the optimal model, which can be achieved satisfactory performance for TB cases predictions in mainland China.…”
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A new grey model with generalized fractal-fractional derivative for prediction of tourism development by Chenhui Xu, Jianguo Zheng

“…Abstract A new fractional order grey prediction model is proposed for accurate forecasting of tourism development in China. …”
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Improved Neutral Density Predictions Through Machine Learning Enabled Exospheric Temperature Model by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska

“…The newly developed EXTEMPLAR‐ML model allows for exospheric temperature predictions at any location with one model and provides performance improvements over its predecessor. …”
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A Study on the performance of Four Regression Models in Predicting Weather Temperature Based on Python by Li Taobei

“…Performance metrics were used to evaluate the models' predictive capacity. With the highest R2 value and the lowest error metrics, Random Forest Regression fared better than the other models, suggesting higher predictive accuracy, according to the data. …”
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Soil Parameters Model Prediction via Resistivity Value Limit to Shallow Subsurface Areas by Muhammad Noor Hisyam Jusoh, Deprizon Syamsunur, Norinah Abd Rahman, Emmanuel Olisa, Abdur Rahim, Nur Izzi Md Yusoff

“…The generated statistic model was improved through several iterations for each correlation. …”
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