Articles

The relationship between heavy metals and metabolic syndrome using machine learning

in Environmental Health and Exposome

• Jun Yao
• Zhilin Du
• Fuyue Yang
• Ran Duan
• Tong Feng

A Nonlinear Integrated Modeling Method of Extended Kalman Filter Based on Adaboost Algorithm

in Chemical Physics and Physical Chemistry

• Feng-Bo Zhou
• Chang-Geng Li
• Hong-Qiu Zhu

Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model

in Nuclear Medicine

• Xiaobing Li
• Wei Wang
• Xuemei Li
• Qianqian Liu
• Yongsheng Liu
• Li Wang
• Qian Li
• Li Zhang
• Wutao Xie

Automated Detection of Driver Fatigue Based on AdaBoost Classifier with EEG Signals

• Jianfeng Hu

Research on mobile ultrasonic stratified flow velocity measurement based on machine learning algorithms

in Water and Artificial Intelligence

• Shengyang Pu
• Haolin Liu
• Yinmengke Ba
• Zhiqing Chen
• Jiawen Yu
• Chunliang Cui

Robust detection framework for adversarial threats in Autonomous Vehicle Platooning

in Cybersecurity and Privacy

• Stephanie Ness

Use of machine learning models to predict mortality in dialysis patients

in Digital Public Health

• Junmin Huang
• Lu Chen
• Hongying Luo
• Junhao Song
• Ziqian Bi
• Keyu Chen
• Xin Liang Chia
• Ming Liu
• Tianyang Wang
• Benji Peng

Emotional development in postgraduate students through the application of machine learning

in Higher Education

• Jenniffer Sobeida Moreira-Choez
• Wellington Remigio Villota-Oyarvide
• Danny Meliton Meza-Arguello
• Regla Cristina Valdés-Cabodevilla
• Marlene Ruth Elena Loor-Rivadeneira
• Verónica Monserrate Mendoza-Fernández
• Miguel Ángel Lapo-Palacios
• Angel Ramón Sabando-García

Application of machine learning in predicting perioperative neurocognitive disorders in elderly patients: the impact of sarcopenia-related features

in Geriatric Medicine

• Zhengyu Qian
• Xiaochu Wu
• Kunyang He
• Kaijie Lin
• Xiaobei Luo
• Tianyao Zhang

Theoretical investigations on modeling blood flow through vessel for understanding effectiveness of magnetic nanocarrier drug delivery systems

in Gene and Cell Therapy

• Rami M. Alzhrani
• Mohammed F. Aldawsari
• Jawaher Abdullah Alamoudi

Multi-parameter MRI radiomic features may contribute to predict progression-free survival in patients with WHO grade II meningiomas

in Neuro-Oncology and Neurosurgical Oncology

• Qiang Zeng
• Zhongyu Tian
• Fei Dong
• Feina Shi
• Penglei Xu
• Jianmin Zhang
• Chenhan Ling
• Zhige Guo

Accurate intelligent modeling of mud loss while drilling wells via soft computing methods

in Georeservoirs

• Lulwah M. Alkwai
• Kusum Yadav
• Yasser Alharbi
• Debashis Dutta
• Hojjat Abbasi

The classification model for identifying single-phase earth ground faults in the distribution network jointly driven by physical model and machine learning

in Smart Grids

• Su Xueneng
• Zhang Hua
• Gao Yiwen
• Huang Yan
• Long Cheng
• Li Shilong
• Zhang Weiwei
• Zheng Qin

Pseudo-188D: Phage Protein Prediction Based on a Model of Pseudo-188D

in Computational Genomics

• Xiaomei Gu
• Lina Guo
• Bo Liao
• Qinghua Jiang

Soil salinization prediction through feature selection and machine learning at the irrigation district scale

in Geoinformatics

• Junbo Xie
• Cong Shi
• Yang Liu
• Qi Wang
• Zhibo Zhong
• Shuai He
• Xingpeng Wang

Habitat-based CT radiomics enhances the ability to predict spread through air spaces in stage T1 invasive lung adenocarcinoma

in Cancer Imaging and Image-directed Interventions

• Xiuhua Peng
• Hongxing Zhao
• Shiyong Wu
• Dan Jia
• Miaomiao Hu
• Biping Guo
• Jinliang Hu