RUL prediction method based on cross-view hybrid network model by Ai Yandi, Fang Dong, Tian Zhiping, Yan Kaiyang

“…To this end, this paper designs a RUL prediction framework based on a cross-view hybrid network model (CVHNet). …”
Get full text

Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management by Tulio J. Francisco, Bruno da Silva Macêdo, Zaher Mundher Yaseen, Nikolay O. Nikitin, Matteo Bodini, Angela Gorgoglione, Camila M. Saporetti, L. Goliatt

“…This study proposes an innovative approach to predicting drought use, the Evolutionary Polynomial Expansion with Feature Selection (EPEFS) model, a hybrid method that integrates polynomial regression with feature selection to increase accuracy and interpretability. …”
Get full text

A Multitask Deep Learning Model for Predicting Myocardial Infarction Complications by Fazliddin Makhmudov, Normakhmad Ravshanov, Dilshot Akhmedov, Oleg Pekos, Dilmurod Turimov, Young-Im Cho

“…Experimental results demonstrate high predictive accuracy and the model’s capacity to capture complex interactions among risk factors, suggesting its potential as a valuable tool for clinical decision support in cardiology. …”
Get full text

External Validation of the International Prognosis Prediction Model of IgA Nephropathy by Lichao Hu, Yi Fang, Jiaxin Huang, Jin Liu, Lingling Xu, Weichun He

Subjects: Get full text

Construction of an immune prediction model for osteosarcoma based on coagulation-related genes by Ye Jiang, Huiqi Yuan, Yongping Cao

“…Furthermore, a prognostic risk model constructed using coagulation system-related genes (CRGs) demonstrated solid predictive ability for patient survival. …”
Get full text

Revolutionizing heart attack prognosis: Introducing an innovative regression model for prediction by Hanaa Albanna, Madhav Raj Theeng Tamang, Chandan Patel, Mhd Saeed Sharif

Subjects: Get full text

A multivariate time series prediction model based on the KAN network by Yunji Long, Xue Qin

“…Abstract Time series forecasting is crucial in various fields such as financial markets and weather prediction. Although mainstream deep learning models like RNNs and CNNs have made some progress in capturing short-term patterns, they still fall short in handling long-range dependencies and complex interactions. …”
Get full text

An Ensemble Model for Predicting Cardiovascular Disease utilizing Nature Inspired Optimization by Annwesha Banerjee Majumder, Somsubhra Gupta, Sourav Majumder, Dharmpal Singh

“… This paper represents an efficient model for heart disease prediction model utilizing an ensemble mechanism optimized through BAT algorithm. …”
Get full text

Predicting bitcoin cryptocurrency price behavior based on ARIMA and NNAR modelling by Patricia Virginia de Santana Lima, David Venâncio da Cruz, Albaro Ramon Paiva Sanz

“… The development of models to predict the behavior of the Bitcoin cryptocurrency, using a public database (Yahoo! …”
Get full text

New Perturbation Model for Prediction of Amino Acid and Peptide Activity Coefficients

Get full text

Prognostic model for predicting recurrence in breast cancer patients in Saudi Arabia by Ousman Khan, Jimoh Olawale Ajadi, Fahad Almsned, Hani Almohanna, Amjad Alrasheed, Ridwan A. Sanusi, Nurudeen A. Adegoke

Subjects: Get full text

Simulation and prediction of rural population changes using agent-based modeling. by Shanshan Huang, Yao Huang, Shitai Bao, Jianfang Wang, Siying Chen

“…Using two representative villages as study areas, the results were validated by comparing them with actual population data and predictions made by the Leslie model. The findings demonstrate the following: 1) the agent-based modeling effectively captures the dynamics of births, deaths, and migrations at the micro level, elucidating the underlying determinants of rural population retention. 2) In economically disadvantaged villages, the total population, labor force, and proportion of adolescents have significantly declined. …”
Get full text

The Prognosis Prediction Model for Endometrial Cancer Based on DNA Methylation Signature by Ran Ran, Ming Wang, Jinwei Miao

“…By LASSO‐Cox regression analyses, a recurrence prediction model and a prognostic‐related model were constructed based on methylation‐related genes in the TCGA training cohort. …”
Get full text

Attack scenarios reasoning,hypothesizing and predicting based on capability transition model by TIAN Zhi-hong1, ZHANG Wei-zhe1, ZHANG Yong-zheng2, ZHANG Hong-li 1, LI Yang2, JIANG Wei1

“…To construct attack scenarios and predict intrusion intents automatically,a real-time alert correlation approach based on capability transition model was proposed.By highly abstracting the reasoning evidences,the process complexity is effectively reduced.Experiment results on the DARPA2000 IDS test dataset indicate that the method is effective and efficient.…”
Get full text

Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

“…After that, the algorithm uses the training subset to build the classification model. Finally, the testing subset is loaded into the model to predict each student’s career path based on the respective inputs and hyper-parameters tuning is employed to boost the model’s accuracy. …”
Get full text

The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae by Xiaoyu Zhang, Xifan Zhang, Deng Zhang, Jing Xu, Jingping Zhang, Xin Zhang

“…Six predictive models were constructed using 15 key influencing factors, including Classification and Regression Trees (CART), C5.0, Gradient Boosting Machines (GBM), Support Vector Machines (SVM), Random Forest (RF), and Nomogram. …”
Get full text

hybrid model to improve reference evapotranspiration prediction: Integrating ANN and PSO by Hadeel Essa, Salah L. Zubaidi

“…In order to estimate monthly ETo, this study tested the prediction abilities of a unique hybrid methodology that coupled data pre-processing with a hybrid model composed of an artificial neural network (ANN) and particle swarm optimisation (PSO). …”
Get full text

Research on 5G core network service model intelligent prediction by Nan FENG, Helin LIU, Quan ZHOU, Haijun YANG, Mineng FU, Daping ZHONG

Get full text

Predicting online shopping addiction: a decision tree model analysis by Xueli Wan, Jie Zeng, Ling Zhang

Subjects: Get full text

Study on Application of Grey Prediction Model in Superalloy MAR-247 Machining by Chen Shao-Hsien

“…Moreover, with the superalloy machining parameters of the current effective application improved grey prediction model, it can decrease the errors, extend the tool life, and improve the prediction precision of surface accuracy.…”
Get full text