AIMC Journal:
International journal of environmental research and public health
Showing 451 to 460 of 494 articles
Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China.
International journal of environmental research and public health
Jan 28, 2019
The main goal of this study was to use the synthetic minority oversampling technique (SMOTE) to expand the quantity of landslide samples for machine learning methods (i.e., support vector machine (SVM), logistic regression (LR), artiļ¬cial neural netw...
Predicting Future Driving Risk of Crash-Involved Drivers Based on a Systematic Machine Learning Framework.
International journal of environmental research and public health
Jan 25, 2019
The objective of this paper is to predict the future driving risk of crash-involved drivers in Kunshan, China. A systematic machine learning framework is proposed to deal with three critical technical issues: 1. defining driving risk; 2. developing r...
Hydrochemical Analysis and Fuzzy Logic Method for Evaluation of Groundwater Quality in the North Chengdu Plain, China.
International journal of environmental research and public health
Jan 23, 2019
Groundwater is a major water resource in the North Chengdu Plain, China. The research objective is to determine the quality and suitability of groundwater for drinking purposes within the vicinity of a shallow, unconsolidated aquifer of Quaternary ag...
Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers' Health Examination Data.
International journal of environmental research and public health
Jan 16, 2019
We aimed to use deep learning to detect tuberculosis in chest radiographs in annual workers' health examination data and compare the performances of convolutional neural networks (CNNs) based on images only (I-CNN) and CNNs including demographic vari...
A GIS-Based Artificial Neural Network Model for Spatial Distribution of Tuberculosis across the Continental United States.
International journal of environmental research and public health
Jan 8, 2019
Despite the usefulness of artificial neural networks (ANNs) in the study of various complex problems, ANNs have not been applied for modeling the geographic distribution of tuberculosis (TB) in the US. Likewise, ecological level researches on TB inci...
Particulate Matter Exposure of Passengers at Bus Stations: A Review.
International journal of environmental research and public health
Dec 17, 2018
This review clarifies particulate matter (PM) pollution, including its levels, the factors affecting its distribution, and its health effects on passengers waiting at bus stations. The usual factors affecting the characteristics and composition of PM...
Artificial Intelligence and Big Data in Public Health.
International journal of environmental research and public health
Dec 10, 2018
Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data and their ...
Influence of Industrialization and Environmental Protection on Environmental Pollution: A Case Study of Taihu Lake, China.
International journal of environmental research and public health
Nov 23, 2018
In order to quantitatively study the effect of environmental protection in China since the twenty-first century and the environmental pollution projected for the next ten years (under the model of extensive economic development), this paper establish...
Could Robots Help Older People with Age-Related Nutritional Problems? Opinions of Potential Users.
International journal of environmental research and public health
Nov 12, 2018
The rapid development of new technologies has recently raised interest in the use of assistive robots in the care of older people. The success or failure of robots' implementation is mediated by their acceptance by users. The aim of the study was to...
Estimation of Neonatal Intestinal Perforation Associated with Necrotizing Enterocolitis by Machine Learning Reveals New Key Factors.
International journal of environmental research and public health
Nov 9, 2018
Intestinal perforation (IP) associated with necrotizing enterocolitis (NEC) is one of the leading causes of mortality in premature neonates; with major nutritional and neurodevelopmental sequelae. Since predicting which neonates will develop perforat...
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