Design and Implementation of an LSTM Model with Embeddings on MCUs for Prediction of Meteorological Variables by Jhan Piero Paulo Merma Yucra, David Juan Cerezo Quina, German Alberto Echaiz Espinoza, Manuel Alejandro Valderrama Solis, Daniel Domingo Yanyachi Aco Cardenas, Andrés Ortiz Salazar

“…The use of recurrent neural networks has proven effective in time series prediction tasks such as weather. However, their use in resource-limited systems such as MCUs presents difficulties in terms of both size and stability with longer prediction windows. …”
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Predictive Modelling for Residential Construction Demands Using ElasticNet Regression by Elrasheid Elkhidir, Tirth Patel, James Olabode Bamidele Rotimi

“…This study seeks to investigate the significance of these external variables and produce a predictive model for residential construction demand using ElasticNet regression. …”
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Application and Comparative Study of Large Language Model in Early Prediction of Glaucoma by Xu Manyi

“…This paper aims to explore and compare the application effects of several advanced large language models in the early prediction of glaucoma. The study selected a variety of large language models, including Chat Generative Pre-trained transformer (ChatGPT), to build a glaucoma prediction model and analyze clinical data, genetic information, and lifestyle data of patients. …”
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Predictive model for assessing the prognosis of rhabdomyolysis patients in the intensive care unit by Yaxin Xiong, Hongyu Shi, Jianpeng Wang, Quankuan Gu, Yu Song, Weilan Kong, Jun Lyu, Mingyan Zhao, Mingyan Zhao, Xianglin Meng, Xianglin Meng, Xianglin Meng

“…For the development of the predictive model, 37 variables were carefully selected. …”
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Construction and application of gold price prediction model based on historical data by Xing Xuexia, Yan Qingqing, Wang Yutong

“…This article delves into the methods and practices of building gold price prediction models based on historical data. Predictive models were constructed using machine learning methods such as random forests and BP neural networks by collecting and preprocessing data on gold prices and related economic indicators from September 2022 to December 2023. …”
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Optimized Ensemble Model to Predict the Compatibility of Automobiles With Hybrid Electric Vehicles by Rohit Bajaj, Deepika Sharma, Ruchika Gupta, Shonak Bansal, Payal Patial, Krishna Prakash

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HCAP: Hybrid cyber attack prediction model for securing healthcare applications. by Mohanad Faeq Ali, Mohammed Shakir Mohmood, Ban Salman Shukur, Rex Bacarra, Jamil Abedalrahim Jamil Alsayaydeh, Masrullizam Mat Ibrahim, Safarudin Gazali Herawan

“…In addition, the conventional model faces overfitting issues in training data, which causes prediction inaccuracies. …”
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An easily acquirable predictive model for strangulated bowel obstruction: the BAR-N by Cuifeng Zheng, BaoWei Xu, Pingxia Lu, Weixuan Xu, Shenhui Lin, Xianqiang Chen, Junrong Zhang, Zhengyuan Huang

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Enhancing corn yield prediction: Optimizing data quality or model complexity? by Yuting Zhou, Shengfang Ma, Huihui Zhang, Sathyanarayanan Aakur

“…These results underscore the importance of additional information or more complex models to enhance prediction accuracy alongside a trade-off between computational complexity and accuracy. …”
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Crystal structure prediction based on diffusion model and graph network optimization by Tao Hong, Jiong Yang, Guixin Cao

Subjects: “…crystal structure prediction…”
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Feasibility of machine learning–based modeling and prediction to assess osteosarcoma outcomes by Qinfei Zhao, Weiquan Hu, Yu Xia, Shengyun Dai, Xiangsheng Wu, Jing Chen, Xiaoying Yuan, Tianyu Zhong, Xuxiang Xi, Qi Wang

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Application of ARIMA Model to Prediction of Inflow in Songhuaba Reservoir in Dry Season by YANG Shao-qiong

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A data-driven spatial-temporal model for prediction of tunnel deformation by Ziyi Zhang, Han Zhang, Cong Du, Mingzhao Wei, Xiaochao Wang, Jianqing Wu

“…Due to the deficiency of incomplete influencing factors and rough prediction accuracy, this paper proposes a data-driven spatial-temporal model to predict tunnel deformation behavior. …”
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Relevancy Prediction of the Emerging Pathogens with Porcine Diarrhea by Logistic Regression Model by Benqiang Li, Jie Tao, Xin Li, Jinghua Cheng, Ying Shi, Pan Tang, Huili Liu

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Mortality risk prediction model in AIDS patients with pneumocystis pneumonia in China by Xi Wang, Letian Liu, Wen Wang, Yang Zhang, Hui Chen, Zhangli Wang, Jianwei Li, Yue Gao, Yanqun Huang, Lijun Sun, Tong Zhang, Aixin Li

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Multidimensional predictive model for assessing clinical activity in thyroid eye disease by Yang Li, Yang Li, Yang Li, Guang-Hong Zhang, Guang-Hong Zhang, Guang-Hong Zhang, Man Tian, Man Tian, Man Tian, Chuan Hua, Chuan Hua, Chuan Hua, Chuan Hua, Jian-Ping Zhai, Jian-Ping Zhai, Jian-Ping Zhai, Yan-Qiong He, Yan-Qiong He, Yan-Qiong He, Xin-He Zuo, Xin-He Zuo, Xin-He Zuo, Xin-He Zuo

“…Variables with significant associations with CAS-defined activity were identified using univariate analysis, and Bayesian shrinkage regression (BSR) and the least absolute shrinkage and selection operator (LASSO) were utilized for variable selection in the primary cohort. Predictive models were constructed and evaluated using receiver operating characteristic (ROC) curves (internally validated via five-fold cross-validation), decision curve analysis (DCA), and calibration curves.ResultsFive predictive models were constructed. …”
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Predictive modeling of major polluters based on the German PRTR emissions data by Heiko Thimm, Vanessa Schmidt

“…The findings indicate that both models generate predictions that are closely aligned with the actual pollution reports. …”
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Monthly Arctic Sea‐Ice Prediction With a Linear Inverse Model by M. Kathleen Brennan, Gregory J. Hakim, Edward Blanchard‐Wrigglesworth

“…Abstract We evaluate Linear Inverse Models (LIMs) trained on last millennium model data to predict Arctic sea‐ice concentration, thickness, and other atmospheric and oceanic variables on monthly timescales. …”
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Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins by Marco Dal Molin, Dmitri Kavetski, Carlo Albert, Fabrizio Fenicia

“…Abstract Calibration of precipitation‐streamflow models to streamflow signatures is a promising approach for streamflow prediction in ungauged basins (PUB). …”
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Parameter Optimization of MIMO Fuzzy Optimal Model Predictive Control By APSO by Adel Taieb, Moêz Soltani, Abdelkader Chaari

“…This paper introduces a new development for designing a Multi-Input Multi-Output (MIMO) Fuzzy Optimal Model Predictive Control (FOMPC) using the Adaptive Particle Swarm Optimization (APSO) algorithm. …”
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