Advertisement

Browse Subject Areas

?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

Forecasting

Method for predicting dynamic current-carrying capacity of transmission lines by integrating improved VMD and time-varying ensemble model

Siyu Yang, Wubang Hao

A refined maximum predictability for next location prediction with fusion knowledge

Liuhong Huang, Zhaocheng He, Xiying Li, Zhi Yu

Predicting risk of ascending thoracic aortic aneurysm in asymptomatic adults using machine learning

Seung Jae Lee, Jin Hee Ahn, [ ... ], Jae-Geum Shim

Machine learning-based on model for explain risk of 24-hour death in critically ill patients in the prehospital setting: A retrospective cohort study

Shengtao Li, Zhanzhan Li, [ ... ], Yanyan Li

A modular and interpretable framework for tabular data analysis using LLaMA 7B: Enhancing preprocessing, modeling, and explainability with local language models

Shahab Ahmad Al Maaytah, Ayman Qahmash

Short-term forecasting and impact analysis of COVID-19 and the stock market in Morocco using ARIMA

N’Adoi Aboagye, Saralees Nadarajah

A machine learning framework for predicting fuel consumption and CO₂ emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation

Rania A. Ibrahim, Nahla E. Zakzouk

AI-based prediction of recurrence after carbon ion radiotherapy for early stage non-small cell lung cancer

Yuhei Miyasaka, Hanae Yoshida, [ ... ], Tatsuya Ohno

Interpretable ensemble machine learning framework for cardiovascular disease prediction using EMR data and large language models in Ethiopia

Alemu Kumilachew Tegegnie, Kibrom Tewolde

MAGIN-GO: Protein function prediction based on dual graph neural networks and gene ontology structure

Runxin Li, Wentao Xie, [ ... ], Wei Peng

Fast decision mechanism for ternary tree partitioning in VVC intra coding

Jiamin Sun, Zhongjie Zhu, Renwei Tu, Zhibo Xie

Machine learning-inspired similarity measure to forecast M&A from patent data

Giambattista Albora, Matteo Straccamore, Andrea Zaccaria

Data-driven predictive modeling for massive intraoperative blood loss during living donor liver transplantation: Integrating machine learning techniques

Taiichi Wakiya, Yukihiro Sanada, [ ... ], Naohiro Sata

Advertisement

Create a weekly email alert for: Forecasting

You can change these options by clicking profile then "Alerts and Notifications"