WoFSCast: A Machine Learning Model for Predicting Thunderstorms at Watch‐to‐Warning Scales by Montgomery L. Flora, Corey Potvin

“…Abstract Developing AI models that match or exceed the forecast skill of numerical weather prediction (NWP) systems but run much more quickly is a burgeoning area of research. …”
Get full text

Prediction of Vegetable Supply in Henan Province Based on PSO-GM (1, N) Model by Xueqiang Guo, Bingjun Li

“…GM (1, N) model is one of the grey prediction models considering the influence of many factors. …”
Get full text

A modified damaged stress model for fatigue life prediction based on load interaction by Lu Zhang, Hongli Liu, Wei Zhou

“…This study proposes a modified Damage Stress Model (DSM) for fatigue life prediction, addressing the variability of ultimate stress during damage transfer under multi-stage stress. …”
Get full text

Research on building energy consumption prediction algorithm based on customized deep learning model by Zheng Liang, Junjie Chen

“…This paper proposes a customized convolutional neural network with Q-Learning (CCNN-QL) based reinforcement learning algorithm for predicting energy consumption in building.The suggested CCNN-QL model offers an auto-learning feature that predicts building energy consumption through an automated method, continually improving its predictive accuracy.To assess its performance, various building types were selected to study the factors influencing excessive energy consumption, and data were collected from multiple Chinese cities. …”
Get full text

Using Machine Learning and Analytical Modeling to Predict Poly-Crystalline PV Performance in Jordan by Sinan S. Faouri, Salah Abdallah, Dana Helmi Salameh

“…This study investigates the performance prediction of poly-crystalline photovoltaic (PV) systems in Jordan using experimental data, analytical models, and machine learning approaches. …”
Get full text

Construction of a health literacy prediction model for diabetic patients: A multicenter study by Zepeng Wang, Junyi Shi, Fangyuan Jiang, Kui Jiang, Yalan Chen

“…Feature selection was performed using recursive feature elimination. Predictive models were established and compared using logistic regression (LR), random forest (RF), and support vector machine (SVM). …”
Get full text

Remaining Useful Life Prediction of Nuclear Power Machinery Based on an Exponential Degradation Model by Gaojun Liu, Weijie Fan, Fenglei Li, Gaixia Wang, Dongdong You

“…Aiming at solving the problems of small fault data samples and insufficient remaining useful life (RUL) prediction accuracy of nuclear power machinery, a method based on an exponential degradation model is proposed to predict the RUL of equipment after the failure warning system alarm. …”
Get full text

Research on Oil Well Production Prediction Based on GRU-KAN Model Optimized by PSO by Bo Qiu, Jian Zhang, Yun Yang, Guangyuan Qin, Zhongyi Zhou, Cunrui Ying

Subjects: “…oil well production prediction…”
Get full text

Development and validation of a prediction model based on a nomogram for tuberculous pleural effusion by Suli Liu, Suli Liu, Yao Yang, Yao Yang, Dongmei Wang, Lijuan Gao, Lijuan Gao, Jiangyue Qin, Jiangyue Qin, Yanqiu Wu, Yanqiu Wu, Diandian Li, Diandian Li, Xiaohua Li, Mei Chen, Hao Wang, Hao Wang, Yongchun Shen, Yongchun Shen, Fuqiang Wen, Fuqiang Wen, Fangying Chen

Subjects: Get full text

Constructing a fall risk prediction model for hospitalized patients using machine learning by Cheng-Wei Kang, Zhao-Kui Yan, Jia-Liang Tian, Xiao-Bing Pu, Li-Xue Wu

Subjects: Get full text

An advanced CNN-attention model with IFTTA optimization for prediction air consumption of relay nozzles by Shen Min, Shao Ning, Cao Yongbo, Xiong Xiaoshuang, Yang Xuezheng, Wang Zhen, Yu Lianqing

“…We initially presented the architectural CNN-Attention model for predicting air consumption of relay nozzles. …”
Get full text

DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction by Yihui Ren, Yu Wang, Wenkai Han, Yikang Huang, Xiaoyang Hou, Chunming Zhang, Dongbo Bu, Xin Gao, Shiwei Sun

“…Accurate prediction of peptide spectra is crucial for improving the efficiency and reliability of proteomic analysis, as well as for gaining insight into various biological processes. …”
Get full text

Modification of Multilayer Perceptron Using Detection Rate Model for Prediction of Nominal Exchange Rate by Al-Khowarizmi Al-Khowarizmi, Romi Fadillah Rahmat, Michael J Watts, Akrim Akrim, Arif Ridho Lubis, Muhammad Basri

“…ANN has one of its tasks, namely prediction. Multilayer perceptron (MLP) is one of the ANN methods that can be prediction all of data. …”
Get full text

DINOV2-FCS: a model for fruit leaf disease classification and severity prediction by Chunhui Bai, Chunhui Bai, Chunhui Bai, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lutao Gao, Lutao Gao, Lutao Gao, Lin Peng, Lin Peng, Lin Peng, Peishan Li, Peishan Li, Peishan Li, Linnan Yang, Linnan Yang, Linnan Yang

“…However, the current prediction of disease degree by machine learning methods still faces challenges, including suboptimal accuracy and limited generalizability.MethodsIn light of the growing application of large model technology across a range of fields, this study draws upon the DINOV2 visual large vision model backbone network to construct the DINOV2-Fruit Leaf Classification and Segmentation Model (DINOV2-FCS), a model designed for the classification and severity prediction of diverse fruit leaf diseases. …”
Get full text

Development of Shear Capacity Prediction Model for FRP-RC Beam without Web Reinforcement by Md. Arman Chowdhury, Zubayer Ibna Zahid, Md. Mashfiqul Islam

“…Available codes and models generally use partially modified shear design equation, developed earlier for steel reinforced concrete, for predicting the shear capacity of FRP-RC members. …”
Get full text

Research on the prediction model of UV spectral water quality parameters based on INFO-LSSVM by Li Chao, Li Wen, Luo Xueke, Yu Zhuofan, Han Yakai, Yu Facheng

“…LSSVM prediction model is effective and provides new re- search value for water quality detection.…”
Get full text

A Multi-Head Attention-Based Transformer Model for Predicting Causes in Aviation Incidents by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

“…To bridge this gap, this study trains and evaluates the performance of a transformer-based model in predicting the likely causes of aviation incidents based on long-input raw text analysis narratives. …”
Get full text

A prediction model for soil heavy metal content based on improved tensor completion by Zhangang Wang, Wenjie Li, Tianhe Yun, Jiaxiang Qi

“…The proposed method estimates heavy metal concentrations at unsampled locations by constructing a prediction model within the Coarse-to-Fine (C2F) framework, leveraging data from sampled points. …”
Get full text

Mechanism-learning prediction model for pitting depth of buried pipeline based on HMOGWO-RF by Fulin SONG, Hong ZHAO, Xingyuan MIAO

“…Conclusion The proposed model has proven effective in accurately predicting the maximum pitting depth of buried pipelines. …”
Get full text

Stock Market Index Prediction Using CEEMDAN-LSTM-BPNN-Decomposition Ensemble Model by John Kamwele Mutinda, Abebe Geletu

“…The model’s predictive accuracy is measured using six metrics: root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), symmetric mean absolute percentage error (SMAPE), root mean squared logarithmic error (RMSLE), and R-squared. …”
Get full text