Articles

A Flexible Ensemble Algorithm for Big Data Cleaning of PMUs

in Smart Grids

• Long Shen
• Xin He
• Mingqun Liu
• Risheng Qin
• Cheng Guo
• Xian Meng
• Ruimin Duan

Reinforcement learning-based multi-model ensemble for ocean waves forecasting

in Physical Oceanography

• Weinan Huang
• Xiangrong Wu
• Haofeng Xia
• Xiaowen Zhu
• Yijie Gong
• Xuehai Sun

Energy cost forecasting and financial strategy optimization in smart grids via ensemble algorithm

in Process and Energy Systems Engineering

• Juanjuan Yang

PSO Supported Ensemble Algorithm for Bad Data Detection Against Intelligent Hacking Algorithm

in Smart Grids

• Levent Yavuz
• Ahmet Soran
• Ahmet Onen
• SM Muyeen

Adaptive Fusion Based Method for Imbalanced Data Classification

• Zefeng Liang
• Huan Wang
• Kaixiang Yang
• Yifan Shi

Henry Hub monthly natural gas price forecasting using CEEMDAN–Bagging–HHO–SVR

in Advanced Clean Fuel Technologies

• Yonghui Duan
• Jianhui Zhang
• Xiang Wang

pSuc-FFSEA: Predicting Lysine Succinylation Sites in Proteins Based on Feature Fusion and Stacking Ensemble Algorithm

in Cellular Biochemistry

• Jianhua Jia
• Genqiang Wu
• Wangren Qiu

Dynamic ensemble-based machine learning models for predicting pest populations

in Mathematics of Computation and Data Science

• Ankit Kumar Singh
• Md Yeasin
• Ranjit Kumar Paul
• A. K. Paul
• Anita Sarkar

Development and performance evaluation of an artificial intelligence algorithm using cell-free DNA fragment distance for non-invasive prenatal testing (aiD-NIPT)

in Computational Genomics

• Junnam Lee
• Sae-Mi Lee
• Jin Mo Ahn
• Tae-Rim Lee
• Wan Kim
• Eun-Hae Cho
• Chang-Seok Ki

Machine learning-based prediction of knee pain risk using lipid metabolism biomarkers: a prospective cohort study from CHARLS

in Metabolic Physiology

• Biao Guo
• Yuan Li
• Weihang Peng
• Yabin Liu
• Fei He
• Zhe Zhai

A stacking ensemble model for predicting the occurrence of carotid atherosclerosis

in Cardiovascular Endocrinology

• Xiaoshuai Zhang
• Chuanping Tang
• Shuohuan Wang
• Wei Liu
• Wangxuan Yang
• Di Wang
• Qinghuan Wang
• Fang Tang

Deep learning and machine learning predictive models for neurological function after interventional embolization of intracranial aneurysms

in Artificial Intelligence in Neurology

• Yan Peng
• Yiren Wang
• Zhongjian Wen
• Hongli Xiang
• Ling Guo
• Lei Su
• Yongcheng He
• Haowen Pang
• Ping Zhou
• Xiang Zhan

Metagenomics-Based Approach to Source-Attribution of Antimicrobial Resistance Determinants – Identification of Reservoir Resistome Signatures

in Food Microbiology

• Ana Sofia Ribeiro Duarte
• Timo Röder
• Liese Van Gompel
• Thomas Nordahl Petersen
• Rasmus Borup Hansen
• Inge Marianne Hansen
• Alex Bossers
• Frank M. Aarestrup
• Jaap A. Wagenaar
• Tine Hald

What Does Sleeping Brain Tell About Stress? A Pilot Functional Near-Infrared Spectroscopy Study Into Stress-Related Cortical Hemodynamic Features During Sleep

in Mobile and Ubiquitous Computing

• Zilu Liang

Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems

in Digital Public Health

• Sashikala Mishra
• Kailash Shaw
• Debahuti Mishra
• Shruti Patil
• Ketan Kotecha
• Satish Kumar
• Simi Bajaj

Effective automatic classification methods via deep learning for myopic maculopathy

in Ophthalmology

• Zheming Zhang
• Qi Gao
• Dong Fang
• Alfira Mijit
• Lu Chen
• Wangting Li
• Yantao Wei