检索结果-内蒙古大学图书馆

Severity modeling of work zone crashes in New Jersey using machine learning models

JOURNAL OF TRANSPORTATION SAFETY & SECURITY 2023年第6期15卷 604-635页

作者： Hasan, Ahmed Sajid Kabir, Md Asif Bin Jalayer, Mohammad Das, Subasish Rowan Univ Civil & Environm Engn 201 Mullica Hill Rd Glassboro NJ 08028 USA United Int Univ Civil Engn Dhaka Bangladesh Texas A&M Univ Transportat Inst Coll Stn College Stn TX USA

In the United States, the probability of work zone crashes has increased due to an increase in renovation works by transportation infrastructures. The severity of work zone crashes is associated with multiple contributing factors such as the roadway's geometric design features, temporal variables, environmental conditions, types of vehicles, and driver behaviors. For this study, we acquired and analyzed three years (2016-2018) of work zone crash data from the state of New Jersey. We investigated the performance of several machine learning methods, including Support Vector Machine, Random Forest, Catboost, Light GBM, and XGBoost to predict the type of injury severity resulting from work zone crashes. To evaluate models' performances, some statistical evaluation parameters such as accuracy, precision, and recall scores were calculated. In addition, a sensitivity analysis was conducted to assess the impact of the most influential factors in work zone-related crashes. Random Forest and Catboost outperformed the other models in terms of predicting fatal, major, and minor injuries. According to the sensitivity analysis, crash type and speed limit were the most significantly associated variables with crash severity. The findings of this study are expected to facilitate the identification of appropriate countermeasures for reducing the severity of work zone crashes.

关键词： Support Vector Machine Random Forest classification and regression tree work zone crash sensitivity analysis New Jersey

来源：评论

学校读者我要写书评

暂无评论

Multitemporal impervious surface estimation via an optimized stable/change pixel detection approach

引用

GISCIENCE & REMOTE SENSING 2022年第1期59卷 1406-1425页

作者： Fan, Wei Chen, Jinsong Li, Xiaoli Tarolli, Paolo Wang, Jin South China Normal Univ Fac Engn Beidou Res Inst Foshan Peoples R China Univ Wisconsin Dept Geog Milwaukee WI 53201 USA Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China Shenzhen Engn Lab Ocean Environm Big Data Anal & Shenzhen Peoples R China Univ Padua Dept Land Environm Agr & Forestry Legnaro PD Italy

Remote sensing techniques have proved its efficacy for the impervious surface mapping, which is a significant indicator of urbanization process and environmental status. However, systematic and random errors in the existing methods still impact the reliability of subpixel impervious surface estimation, generating compounded errors when conducting multitemporal monitoring. The compounded errors of the conventional methods often significantly impact the temporal consistency of the results. In this study, a novel method based on a straightforward pixel change detection approach was put forward to improve the estimation of multitemporal impervious surface area. Two experimental areas located in Rome in Italy and Shenzhen in China were chosen to testify the generality of the proposed method to estimate different types of impervious surfaces worldwide. By reducing the compounded errors, the proposed method demonstrated its efficiency in achieving higher accuracy in both study areas without involving extensive data sources and intensive manual tasks. Compared with the conventional classification and regression tree algorithm, the overall mean average error and root mean square error of this study declined by more than 15.55% and 8.63%, respectively, and R-2 increased from approximately 0.93 to 0.96. The proposed method also drastically reduced the standard deviation of the multitemporal percent ISA of the stable pixels. The accurate change estimation of percent ISA has been a fundamental but challenging issue associated with monitoring and understanding the urban environment. Therefore, our proposed method, with its improved ability to estimate impervious surface change both spatially and temporally, can provide accurate information required for urban environment research.

关键词： Impervious surface change detection classification and regression tree remote sensing

来源：评论

学校读者我要写书评

暂无评论

A novel deep learning model based on convolutional neural networks for employee churn prediction

引用

JOURNAL OF FORECASTING 2022年第3期41卷 539-550页

作者： Ozmen, Ebru Pekel Ozcan, Tuncay Samsun Univ Ind Engn Dept Fac Engn Samsun Turkey Istanbul Tech Univ Management Engn Dept Fac Management Istanbul Turkey

Employees are one of the most important resources of a company. The churn of valuable employees significantly affects a company's performance. The design of systems that predict employee churn is critical importance for companies. At this point, machine learning algorithms offer important opportunities for the diagnosis of employee churn. Nowadays, traditional classification algorithms have been replaced by deep learning models. In this study, firstly, a convolutional neural network (CNN) model was applied on a numerical data set for employee churn prediction in retailing. Later, because the data loss is too much in data transformations, a new hybrid extended convolutional decision tree model (ECDT) was proposed by improving the CNN algorithm. Finally, a novel model (ECDT-GRID) was developed by applying grid search optimization to improve the classification accuracy of ECDT. Numerical results showed that the developed ECDT-GRID model outperformed the CNN and ECDT models and basic classification algorithms in terms of classification accuracy, and this model provided an efficient methodology for prediction of employee churn.

关键词： classification and regression tree CNN deep learning employee churn retailing

来源：评论

学校读者我要写书评

暂无评论

Interaction Effect Between Hemoglobin and Hypoxemia on COVID-19 Mortality: an observational study from Bogota, Colombia

引用

INTERNATIONAL JOURNAL OF GENERAL MEDICINE 2022年 15卷 6965-6976页

作者： Felipe Patino-Aldana, Andres Ruiz Sternberg, Angela Maria Pinzon Rondon, Angela Maria Molano-Gonzalez, Nicolas Rodriguez Lima, David Rene Univ Rosario Escuela Med & Ciencias Salud Grp Invest Clin Bogota Colombia Hosp Univ Mayor Mederi CIMED Bogota Colombia

Purpose: We aimed to assess the effect of hemoglobin (Hb) concentration and oxygenation index on COVID-19 patients' mortality risk. Patients and Methods: We retrospectively reviewed sociodemographic and clinical characteristics, laboratory findings, and clinical outcomes from patients admitted to a tertiary care hospital in Bogota, Colombia, from March to July 2020. We assessed exploratory associations between oxygenation index and Hb concentration at admission and clinical outcomes. We used a generalized additive model (GAM) to evaluate the observed nonlinear relations and the classification and regression trees (CART) algorithm to assess the interaction effects. Results: We included 550 patients, of which 52% were male. The median age was 57 years old, and the most frequent comorbidity was hypertension (29%). The median value of SpO(2)/FiO(2) was 424, and the median Hb concentration was 15 g/dL. The mortality was 15.1% (83 patients). Age, sex, and SpO(2)/FiO(2), were independently associated with mortality. We described a nonlinear relationship between Hb concentration and neutrophil-to-lymphocyte ratio with mortality and an interaction effect between SpO(2)/FiO(2) and Hb concentration. Patients with a similar oxygenation index had different mortality likelihoods based upon their Hb at admission. CART showed that patients with SpO(2)/FiO(2) < 324, who were less than 81 years with an NLR > 9.9, and Hb > 15 g/dl had the highest mortality risk (91%). Additionally, patients with SpO(2)/FiO(2) > 324 but Hb of < 12 g/dl and a history of hypertension had a higher mortality likelihood (59%). In contrast, patients with SpO(2)/FiO(2) > 324 and Hb of > 12 g/dl had the lowest mortality risk (9%). Conclusion: We found that a decreased SpO(2)/FiO(2) increased mortality risk. Extreme values of Hb, either low or high, showed an increase in the likelihood of mortality. However, Hb concentration modified the SpO(2)/FiO(2) effect on mortality;the probability of death in patients wit

关键词： hypoxia erythrocytosis acute respiratory infection SARS-CoV-2 neutrophil-to-lymphocyte ratio generalized additive model classification and regression tree inflammation altitude acute lung injury

来源：评论

学校读者我要写书评

暂无评论

Risk Factors for Perioperative Morbidity in Adults Undergoing Cardiac Surgery at Children's Hospitals

引用

ANNALS OF THORACIC SURGERY 2022年第6期113卷 2062-2070页

作者： Jain, Parag N. Salciccioli, Katherine B. Guffey, Danielle Byun, Jinyoung Cotts, Timothy B. Ermis, Peter Gaies, Michael Ghanayem, Nancy Kim, Francis Lasa, Javier J. Smith, Andrew Fuller, Stephanie Texas Childrens Hosp Sect Crit Care Med Houston TX 77030 USA Baylor Coll Med 6651 Main StMC E1420 Houston TX 77030 USA Univ Michigan Dept Internal Med Div Cardiol Ann Arbor MI 48109 USA Univ Michigan Dept Pediat Div Cardiol Ann Arbor MI 48109 USA Baylor Coll Med Inst Clin & Translat Res Houston TX USA Univ Michigan Sch Med Dept Internal Med Ann Arbor MI USA Univ Michigan Sch Med Dept Pediat Ann Arbor MI USA Texas Childrens Hosp Sect Pediat Cardiol Houston TX 77030 USA Univ Michigan CS Mott Childrens Hosp Pediat Cardiol Ann Arbor MI USA Univ Chicago Sect Pediat Crit Care Med Comer Childrens Hosp Chicago IL USA Childrens Hosp Wisconsin Med Coll Wisconsin Sect Pediat Crit Care Milwaukee WI USA Vanderbilt Univ Sch Med Div Crit Care Med Nashville TN 37232 USA Vanderbilt Univ Sch Med Div Cardiol Nashville TN 37232 USA Childrens Hosp Philadelphia Dept Surg Div Cardiothorac Surg Philadelphia PA USA

BACKGROUND Increasing numbers of adults with congenital heart disease (ACHD) undergo cardiac surgical procedures in children's hospitals, yet surgical outcomes data are limited. We sought to better understand the impact of preoperative risk factors on postoperative complications and cardiac intensive care unit (CICU) length of stay (LOS). METHODS Surgical CICU admissions for patients aged 18 years and older in the Pediatric Cardiac Critical Care Consortium registry from August 2014 to January 2019 in 34 hospitals were included. Primary outcomes included prolonged LOS (defined as LOS 290th percentile) and major complications (cardiac arrest, extracorporeal membrane oxygenation, arrhythmia requiring intervention, stroke, renal replacement therapy, infection, and reoperation/reintervention). RESULTS We analyzed 1764 surgical CICU admissions. Prolonged LOS was 7 days or longer. Eighteen patients (1.0%) died, of whom 9 (0.5%) died before the LOS cutoff and were excluded from analysis. Of 1755 CICU admissions, 8.8% (n = 156) had prolonged LOS, and 23.3% (n = 413) had 1 or more major complications. Several variables, including The Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery 4/5 operation, 3 or more previous sternotomies, and preoperative renal dysfunction/dialysis were independent risk factors for both prolonged LOS and major complications (P < .05). Preoperative ventilation was associated with increased odds of prolonged LOS and preoperative arrhythmia with major complications. CONCLUSIONS This analysis of postoperative ACHD care in pediatric CICUs found high complexity operations, 3 or more previous sternotomies, preoperative arrhythmias, renal dysfunction, and respiratory failure are associated with prolonged LOS and/or major complications. Future quality improvement initiatives focused on preoperative optimization and implementation of adult-specific perioperative protocols may mitigate morbidity in these patients undergoing cardiac su

关键词： ACHD adult with congenital heart disease CART classification and regression tree CICU cardiac intensive care unit CHD congenital heart disease ECMO extracorporeal membrane oxygenation GEE generalized estimating equation LOS length of stay OR odds ratio PC 4 Pediatric Cardiac Critical Care Consortium QI quality improvement STS Society for Thoracic Surgery STAT The Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery

来源：评论

学校读者我要写书评

暂无评论

Assessing Derawan Island's Coral Reefs over Two Decades: A Machine Learning classification Perspective

引用

SENSORS 2024年第2期24卷 466页

作者： Manessa, Masita Dwi Mandini Ummam, Muhammad Al Fadio Efriana, Anisya Feby Semedi, Jarot Mulyo Ayu, Farida Univ Indonesia Fac Math & Nat Sci Dept Geog Depok 16424 Indonesia

This study aims to understand the dynamic changes in the coral reef habitats of Derawan Island over two decades (2003, 2011, and 2021) using advanced machine learning classification techniques. The motivation stems from the urgent need for accurate, detailed environmental monitoring to inform conservation strategies, particularly in ecologically sensitive areas like coral reefs. We employed non-parametric machine learning algorithms, including Random Forest (RF), Support Vector Machine (SVM), and classification and regression tree (CART), to assess spatial and temporal changes in coral habitats. Our analysis utilized high-resolution data from Landsat 9, Landsat 7, Sentinel-2, and Multispectral Aerial Photos. The RF algorithm proved to be the most accurate, achieving an accuracy of 71.43% with Landsat 9, 73.68% with Sentinel-2, and 78.28% with Multispectral Aerial Photos. Our findings indicate that the classification accuracy is significantly influenced by the geographic resolution and the quality of the field and satellite/aerial image data. Over the two decades, there was a notable decrease in the coral reef area from 2003 to 2011, with a reduction to 16 hectares, followed by a slight increase in area but with more heterogeneous densities between 2011 and 2021. The study underscores the dynamic nature of coral reef habitats and the efficacy of machine learning in environmental monitoring. The insights gained highlight the importance of advanced analytical methods in guiding conservation efforts and understanding ecological changes over time.

关键词： spatial and temporal distribution coral reef Random Forest Support Vector Machine classification and regression tree

来源：评论

学校读者我要写书评

暂无评论

Management zone delineation based on soil properties measured during the reproductive stage of rice in the field

引用

LAND DEGRADATION & DEVELOPMENT 2021年第10期32卷 3106-3121页

作者： Wang, Mingming Tavakkoli, Ehsan Rengasamy, Pichu Huang, Lihua Ma, Hongyuan Yang, Fu Wei, Tianjiao Lu, Xinrui Xu, Zhongchun Fang, Yunying Liang, Zhengwei Chinese Acad Sci Northeast Inst Geog & Agroecol Changchun 130102 Jilin Peoples R China Chinese Acad Sci Daan Sodic Land Expt Stn Daan Peoples R China Chinese Acad Sci Key Lab Mollisols Agroecol Changchun Peoples R China Univ Adelaide Adelaide SA Australia Wagga Wagga Agr Inst NSW Dept Primary Ind Wagga Wagga NSW Australia Guizhou Univ Sch Publ Adm Guiyang Peoples R China Elizabeth Macarthur Agr Inst NSW Dept Primary Ind Menangle NSW Australia

Identification of key soil properties is an essential prerequisite to delineating the management zone (MZ), which is traditionally done by selecting soil parameters before crop planting. However, soil properties during sensitive stages of crop growth may have a greater effect on the MZ delineation than those before planting. This study is aimed to determine whether inclusion of soil properties measured in surface layers during the reproductive stage of rice could enhance the appropriateness of MZ delineation based on sodic/saline-sodic paddy fields. When including soil variables during the reproductive stage, with/without soil variables before planting, a similar MZ pattern (MZ pattern 3) was generated. Furthermore, when including soil variables during the reproductive stage and rice yield components, with/without soil variables before planting, another similar MZ pattern (MZ Pattern 4) was generated. Compared with other patterns, the MZ pattern 4 showed higher relative variances for rice yield and the mean of its most important yield-influencing factors, with lower coefficient of variation (CV) in all MZs compared with the whole-paddock CV. Likewise, this pattern showed improvement in discriminating soil and rice variables among MZs. These findings confirm that inclusion of soil properties during the reproductive stage of rice has potential for enhancing the appropriateness of MZ delineation. This study also necessitates inclusion of carbonate-derived variables when delineating MZs in sodic/saline-sodic paddy fields. Our results encourage further investigation of the role of soil properties in surface soil layers at critical crop growth stages in MZ delineation under multiple soil and climatic conditions.

关键词： classification and regression tree management zone delineation salt‐ affected soil sampling depth sensitive crop growth stages

来源：评论

学校读者我要写书评

暂无评论

Machine Learning-Driven classification for Enhanced Rule Proposal Framework

引用

Computer Systems Science & Engineering 2024年第6期48卷 1749-1765页

作者： B.Gomathi R.Manimegalai Srivatsan Santhanam Atreya Biswas Department of Computer Science and Engineering PSG Institute of Technology and Applied ResearchCoimbatore641062India SAP Labs India Private Limited Bengaluru560066India SAP(UK)Ltd. MiddlesexTW148HDUK

In enterprise operations,maintaining manual rules for enterprise processes can be expensive,time-consuming,and dependent on specialized domain knowledge in that enterprise ***,rule-generation has been automated in enterprises,particularly through Machine Learning,to streamline routine ***,these machine models are black boxes where the reasons for the decisions are not always transparent,and the end users need to verify the model proposals as a part of the user acceptance testing to trust *** such scenarios,rules excel over Machine Learning models as the end-users can verify the rules and have more *** many scenarios,the truth label changes frequently thus,it becomes difficult for the Machine Learning model to learn till a considerable amount of data has been accumulated,but with rules,the truth can be *** paper presents a novel framework for generating human-understandable rules using the classification and regression tree(CART)decision tree method,which ensures both optimization and user trust in automated decision-making *** framework generates comprehensible rules in the form of if condition and then predicts class even in domains where noise is *** proposed system transforms enterprise operations by automating the production of human-readable rules from structured data,resulting in increased efficiency and *** the need for human rule construction saves time and money while guaranteeing that users can readily check and trust the automatic judgments of the *** remarkable performance metrics of the framework,which achieve 99.85%accuracy and 96.30%precision,further support its efficiency in translating complex data into comprehensible rules,eventually empowering users and enhancing organizational decision-making processes.

关键词： classification and regression tree process automation rules engine model interpretability explainability model trust

来源：评论

学校读者我要写书评

暂无评论

Influence of AOD remotely sensed products, meteorological parameters, and AOD-PM_2.5 models on the PM_2.5 estimation

引用

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2021年第4期35卷 893-908页

作者： Xu, Yuelei Huang, Yan Guo, Zhongyang East China Normal Univ Minist Educ Key Lab Geog Informat Sci 500 Dongchuan Rd Shanghai 200241 Peoples R China East China Normal Univ Sch Geog Sci Shanghai 200241 Peoples R China

Air pollution has emerged as one of the most urgent problems worldwide over the past few years. Especially, fine particulate matter with a diameter smaller than 2.5 micrometres (PM2.5) has seriously endangered the human life and health worldwide. Thus, monitoring accurate and spatio-temporal continuously PM2.5 concentrations is essential for controlling air pollution. The key to accurately estimating PM2.5 concentrations is to build a reliable aerosol optical depth (AOD)-PM2.5 model, which is mainly determined by the AOD remotely sensed products, meteorological parameters, and estimating methods. However, no systematic evaluation and analysis of the influence of these three variables on AOD-PM2.5 model has yet been reported. Based on Terra and Aqua Moderate Resolution Imaging Spectroradiometer AOD products, reanalysis meteorological data, and ground-based PM2.5 data during 2014-2015 in eastern China, we analyzed the influence of above mentioned variables on the accuracy of the AOD-PM2.5 model. The four modeling methods investigated are stepwise multiple linear regression (SMLR), backpropagation neural network (BPNN), classification and regression tree (CART), and random forest (RF). Adjusted R-2, mean absolute error (MAE), product index (PI), spatial resolution index (SRI), and Taylor diagrams are used to assess the accuracy of models. The results show that adding meteorological elements that vary with time and height can improve the accuracy by 4.97% over eastern China. The average PI of Terra AOD products increased by 0.15 compared with that of Aqua AOD products. Most SRIs have positive values, suggesting that AOD products with a spatial resolution of 10 km can lead to a more accurate AOD-PM2.5 model. The Taylor diagram indicates that RF model > BPNN model > CART model > SMLR model in terms of performance. Therefore, Terra AOD products with spatial resolution of 10 km and RF are more suitable for use with the AOD-PM2.5 model in eastern China.

关键词： MODIS AOD products Stepwise multiple linear regression Backpropagation neural network classification and regression tree Random forest Taylor diagram

来源：评论

学校读者我要写书评

暂无评论

Sensitivity analysis and ensemble artificial intelligence-based model for short-term prediction of NO2 concentration

引用

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY 2021年第9期18卷 2703-2722页

作者： Nourani, V. Abdollahi, Z. Sharghi, E. Univ Tabriz Ctr Excellence Hydroinformat Tabriz Iran Univ Tabriz Fac Civil Engn Tabriz Iran Near East Univ Fac Civil & Environm Engn Via Mersin 10 TR-99138 Nicosia N Cyprus Turkey

In this study, in the first step, three scenarios with different input combinations are created to implement a sensitivity analysis for hourly NO2 prediction in Columbus City, Ohio. Three classes of inputs including concentration-related data (NO2 concentration at previous time steps and NO2 concentration in the suburban monitoring station), meteorology (wind speed, wind direction, and temperature), and traffic-related data (traffic count, hour of the day, and day of the week) are applied to create three scenarios. Also, the support vector regression methodology is employed to perform the sensitivity analysis. Dominant variables determined in the sensitivity analysis are applied as inputs to three models called feed-forward neural network, support vector regression, as well as classification and regression tree. In the last step, ensemble techniques including simple linear averaging, weighted linear averaging, and nonlinear support vector regression ensemble are proposed to improve the performance of sole models. The results indicate that, in the urban area, in addition to NO2 variations in the previous time step, other variables such as hourly traffic count in freeway loop, suburban NO2 concentration, and hour of the day can affect the NO2 concentration. Further, the values of determination coefficient for the individual models, namely classification and regression tree and feed-forward neural network, are 67 and 81% that the ensemble technique as a post-processing approach enhances the performance of them up to 19% and 5% in the verification steps, respectively.

关键词： Air pollution modelling Traffic-related pollutant Support vector regression Feed-forward neural network classification and regression tree Columbus City

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：