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Simulation and modeling

Preventing postoperative pulmonary complications by establishing a machine-learning assisted approach (PEPPERMINT): Study protocol for the creation of a risk prediction model

Britta Trautwein, Meinrad Beer, [ ... ], Michael Götz

Unsupervised fake news detection on social media using hybrid Gaussian Mixture Model

Sajida Perveen, Muhammad Shahbaz, [ ... ], Rehan Ashraf

Research on a virtual-real fusion experimental system for the cutting part of a boom-type roadheader

Jianzhuo Zhang, Ce Chen, [ ... ], Wenliang Li

Tasmanian devil whale optimization (TDWO) is introduced for secure video transmission in 5G networks

Fengren Lin, Minrong Lu

Modeling and simulation of railway safety management with public supervision and dynamic incentives: A four-party evolutionary game and system dynamics approach

Xiaoxi Li, Xueru Cao, Jinyan Deng, Xinyuan Li

An integrated model of threshold-based scaling and fractional admission controlling to improve resource utilization efficiency in 5G core networks

Ly Cuong Hoa, Thanh Chuong Dang, Viet Minh Nhat Vo

Data asset valuation model based on generative artificial intelligence

Yungang Tang, Yaoqian Liu, Daxin Liu

CrustChain: Resolving the blockchain trilemma via decentralized storage and proof-of-capacity consensus

Saha Reno, Koushik Roy

Predicting in-hospital mortality in ICU patients with Coronary heart disease and diabetes mellitus using machine learning models

Guang Tu, Zhonglan Cai, [ ... ], Haijian Luo

Modeling hydrological processes and analyzing water balance utilizing remote sensing data and physical hydrological models in the Songnen Plain, China

Zhong Lu, Jinliang Zhang, [ ... ], Kuo Li

A hybrid AI model integrating BKA-VMD and deep neural networks for industrial power load prediction

Yin Luo, Chaofan Guo, Minfeng Pan, Hong Zhou

A new cow identification method using near-infrared spectral measurements and main components of raw milk features

Tugba Aydemir

Seed quality drives grain yield in Ethiopian and Senegalese sorghum: Insights from machine learning

Ezekiel Ahn, Louis K. Prom, [ ... ], Clint Magill

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