Results 21 to 30 of about 10,458 (157)

A Novel Drug-Drug Indicator Dataset and Ensemble Stacking Model for Detection and Classification of Drug-Drug Interaction Indicators

IEEE Access, 2023
Drug-drug interaction (DDI) is a significant public health issue that accounts for 30% of unanticipated clinically hazardous medication events. The past decade has seen an evolution in informatics-based research for DDI signal identification. This
Sidra Abbas, Gabriel Avelino Sampedro, Mideth Abisado, Ahmad S. Almadhor, Tai-Hoon Kim, Monji Mohamed Zaidi   +5 more
doaj   +1 more source

A Novel Method for Damage Prediction of Stuffed Protective Structure Under Hypervelocity Impact by Stacking Multiple Models

IEEE Access, 2020
Adopting appropriate protective structures to resist the impact of micrometeoroid or space debris on spacecraft is a valuable research content of space engineering.
Wenzhe Ding, Xinhong Li, Hong Yang, Jiping An, Zhibin Zhang   +4 more
doaj   +1 more source

Perbandingan Metode Ensemble Learning pada Klasifikasi Penyakit Diabetes

Jurnal Masyarakat Informatika, 2022
Diabetes merupakan salah satu penyakit dalam dunia medis yang ditandai dengan kadar gula dalam darah yang tinggi pada penderitanya. Menurut data dari Organisasi Kesehatan Dunia (WHO), pada rentang tahun 1980 sampai 2014, terjadi peningkatan kasus ...
Linggar Maretva Cendani, Adi Wibowo
doaj   +1 more source

Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation

BMC Bioinformatics, 2021
Background Atrial fibrillation is a paroxysmal heart disease without any obvious symptoms for most people during the onset. The electrocardiogram (ECG) at the time other than the onset of this disease is not significantly different from that of normal ...
Cai Wu, Maxwell Hwang, Tian-Hsiang Huang, Yen-Ming J. Chen, Yiu-Jen Chang, Tsung-Han Ho, Jian Huang, Kao-Shing Hwang, Wen-Hsien Ho   +8 more
doaj   +1 more source

An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks

IEEE Access, 2022
Novel and high-performance medical image classification pipelines are heavily utilizing ensemble learning strategies. The idea of ensemble learning is to assemble diverse models or multiple predictions and, thus, boost prediction performance. However, it
Dominik Muller, Inaki Soto-Rey, Frank Kramer   +2 more
doaj   +1 more source

Improved prediction of slope stability using a hybrid stacking ensemble method based on finite element analysis and field data

Journal of Rock Mechanics and Geotechnical Engineering, 2021
Slope failures lead to catastrophic consequences in numerous countries and thus the stability assessment for slopes is of high interest in geotechnical and geological engineering researches.
Navid Kardani, Annan Zhou, Majidreza Nazem, Shui-Long Shen   +3 more
doaj   +1 more source

Demand Forecasting of Online Car-Hailing With Stacking Ensemble Learning Approach and Large-Scale Datasets

IEEE Access, 2020
With the rapid development and convenient service of online car-hailing, it has gradually become the preferred choice for people to travel. Accurate forecasting of car-hailing trip demand not only enables the drivers and companies to dispatch the ...
Yuming Jin, Xiaofei Ye, Qiming Ye, Tao Wang, Jun Cheng, Xingchen Yan   +5 more
doaj   +1 more source

A Fruit Tree Disease Diagnosis Model Based on Stacking Ensemble Learning

Complexity, 2021
Fruit tree diseases have a great influence on agricultural production. Artificial intelligence technologies have been used to help fruit growers identify fruit tree diseases in a timely and accurate way.
Honglei Li, Ying Jin, Jiliang Zhong, Ruixue Zhao   +3 more
doaj   +1 more source

Stacking-based ensemble learning for remaining useful life estimation

Soft Computing, 2023
AbstractExcessive and untimely maintenance prompts economic losses and unnecessary workload. Therefore, predictive maintenance models are developed to estimate the right time for maintenance. In this study, predictive models that estimate the remaining useful life of turbofan engines have been developed using deep learning algorithms on NASA’s turbofan
Begum Ay Ture, Akhan Akbulut, Abdul Halim Zaim, Cagatay Catal   +3 more
openaire   +2 more sources

Stratification of malignant renal neoplasms from cystic renal lesions using deep learning and radiomics features based on a stacking ensemble CT machine learning algorithm

Frontiers in Oncology, 2022
Using nephrographic phase CT images combined with pathology diagnosis, we aim to develop and validate a fusion feature-based stacking ensemble machine learning model to distinguish malignant renal neoplasms from cystic renal lesions (CRLs).
Quan-Hao He, Hao Tan, Fang-Tong Liao, Yi-Neng Zheng, Fa-Jin Lv, Qing Jiang, Ming-Zhao Xiao   +6 more
doaj   +1 more source