Results 61 to 70 of about 65,886 (196)

Stacking ensemble learning model to predict 6-month mortality in ischemic stroke patients

Scientific Reports, 2022
Patients with acute ischemic stroke can benefit from reperfusion therapy. Nevertheless, there are gray areas where initiation of reperfusion therapy is neither supported nor contraindicated by the current practice guidelines.
Lee Hwangbo, Yoon Jung Kang, Hoon Kwon, Jae Il Lee, Han-Jin Cho, Jun-Kyeung Ko, Sang Min Sung, Tae Hong Lee   +7 more
doaj   +1 more source

Ensemble Feed-Forward Neural Network and Support Vector Machine for Prediction of Multiclass Malaria Infection

Journal of ICT, 2021
Globally, recent research are focused on developing appropriate and robust algorithms to provide a robust healthcare system that is versatile and accurate.
Opeyemi Aderiike Abisoye, Rasheed Gbenga Jimoh, Muhammed Uthman Mubashir Babatunde Uthman   +2 more
doaj   +1 more source

The Monkeytyping Solution to the YouTube-8M Video Understanding Challenge [PDF]

, 1880
This article describes the final solution of team monkeytyping, who finished in second place in the YouTube-8M video understanding challenge. The dataset used in this challenge is a large-scale benchmark for multi-label video classification.
Wang, He-Da, Zhang, Teng, Wu, Ji
core   +3 more sources

Retrieval of Live Fuel Moisture Content Based on Multi-Source Remote Sensing Data and Ensemble Deep Learning Model

Remote Sensing, 2022
Live fuel moisture content (LFMC) is an important index used to evaluate the wildfire risk and fire spread rate. In order to further improve the retrieval accuracy, two ensemble models combining deep learning models were proposed.
Jiangjian Xie, Tao Qi, Wanjun Hu, Huaguo Huang, Beibei Chen, Junguo Zhang   +5 more
doaj   +1 more source

A multi-level classification model for corrosion defects in oil and gas pipelines using meta-learner ensemble (MLE) techniques

Journal of Pipeline Science and Engineering
Maintaining the integrity of oil and gas pipelines is necessary for the efficient and safe transport of hydrocarbons. Corrosion defects can lead to decreased operational efficiency, leaks, a reduction in operational efficiency, and even catastrophic ...
Adamu Abubakar Sani, Mohamed Mubarak Abdul Wahab, Nasir Shafiq, Kamaludden Usman Danyaro, Nasir Khan, Adamu Tafida, Arsalaan Khan Yousafzai   +6 more
doaj   +1 more source

Explainable stacking ensemble with feature tokenizer transformers for men’s diabetes prediction [PDF]

Journal of Men's Health
Diabetes is a leading global health concern, with millions of deaths linked to diabetes and related complications according to the World Health Organization (WHO). Early and accurate prediction is crucial for effective management.
Vinh Quang Tran, Younsung Choi, Haewon Byeon   +2 more
doaj   +1 more source

Prediction of infectious disease epidemics via weighted density ensembles

, 2017
Accurate and reliable predictions of infectious disease dynamics can be valuable to public health organizations that plan interventions to decrease or prevent disease transmission.
Ray, Evan L., Reich, Nicholas G.
core   +3 more sources

Deep learning for supervised classification [PDF]

, 2016
One of the most recent area in the Machine Learning research is Deep Learning. Deep Learning algorithms have been applied successfully to computer vision, automatic speech recognition, natural language processing, audio recognition and bioinformatics ...
DI CIACCIO, AGOSTINO, GIORGI, Giovanni Maria   +1 more
core  

Handling Systematic Uncertainties and Combined Source Analyses for Atmospheric Cherenkov Telescopes

, 2012
In response to an increasing availability of statistically rich observational data sets, the performance and applicability of traditional Atmospheric Cherenkov Telescope analyses in the regime of systematically dominated measurement uncertainties is ...
Conrad, Jan, Dickinson, Hugh
core   +1 more source

Prediction of vertical well inclination angle based on stacking ensemble learning

All Earth
Well deviation is a common technical challenge in vertical well drilling operations. To accurately predict the Inclination angle in a certain oilfield in the Xinjiang work area, a Stacking-based ensemble learning method was established using historical ...
Hao Yan, Shuangjin Zheng, Hongfei Chen, Kai Bai   +3 more
doaj   +1 more source