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164 Results Found

  • Article
  • Open Access
20 Citations
6,405 Views
17 Pages

Investigation on the Expansion of Urban Construction Land Use Based on the CART-CA Model

  • Yongxiang Yao,
  • Jia Li,
  • Xingguo Zhang,
  • Ping Duan,
  • Shuang Li and
  • Quanli Xu

Change in urban construction land use is an important factor when studying urban expansion. Many scholars have combined cellular automata (CA) with data mining algorithms to perform relevant simulation studies. However, the parameters for rule extrac...

  • Article
  • Open Access
83 Citations
15,149 Views
14 Pages

14 February 2018

This study aims to establish a rigorous and effective model to detect enterprises’ financial statements fraud for the sustainable development of enterprises and financial markets. The research period is 2004–2014 and the sample is companies listed on...

  • Article
  • Open Access
4 Citations
5,478 Views
12 Pages

16 December 2016

Data mining technology is applied to extract the water supply operation rules in this study. Five characteristic attributes—reservoir storage water, operation period number, water demand, runoff, and hydrological year—are chosen as the dataset, and t...

  • Article
  • Open Access
17 Citations
4,154 Views
24 Pages

Sustainability Performance Assessment Using Self-Organizing Maps (SOM) and Classification and Ensembles of Regression Trees (CART)

  • Mehrbakhsh Nilashi,
  • Shahla Asadi,
  • Rabab Ali Abumalloh,
  • Sarminah Samad,
  • Fahad Ghabban,
  • Eko Supriyanto and
  • Reem Osman

31 March 2021

This study aims to develop a new approach based on machine learning techniques to assess sustainability performance. Two main dimensions of sustainability, ecological sustainability, and human sustainability, were considered in this study. A set of s...

  • Article
  • Open Access
21 Citations
4,854 Views
21 Pages

8 October 2021

The classification of stream waters using parameters such as fecal coliforms into the classes of body contact and recreation, fishing and boating, domestic utilization, and danger itself is a significant practical problem of water quality prediction...

  • Article
  • Open Access
1 Citations
1,421 Views
13 Pages

Analysis of Land-Use/Cover-Type Extraction Results of Tamarix Shrub Forest of China Based on Remote Sensing Technology

  • Jin Wang,
  • Ruiting Liu,
  • Yanhua Zhang,
  • Xiaoxiang Cheng,
  • Jingtao Xu,
  • Yaohui Liu and
  • Feiyong Chen

6 July 2024

The endmember spectrum method can improve image classification quality based on the spectral features of pure pixels in remote sensing images. The CART (Classification and Regression Tree) is a powerful machine learning algorithm that can also be use...

  • Article
  • Open Access
5 Citations
2,258 Views
19 Pages

29 April 2024

Dongting Lake wetland is a typical lake wetland in the Middle and Lower Yangtze River Plain in China. Due to the influence of natural and human activities, the landscape pattern has changed significantly. This study used 12 Landsat images from 1991 t...

  • Article
  • Open Access
10 Citations
4,119 Views
18 Pages

31 January 2023

High-resolution remote-sensing images can be used in human activity analysis and criminal activity monitoring, especially in sparsely populated zones. In this paper, we explore the applicability of China’s Gaofen satellite images in the land co...

  • Article
  • Open Access
9 Citations
3,630 Views
22 Pages

A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing

  • Matin Rahnamay Naeini,
  • Tiantian Yang,
  • Ahmad Tavakoly,
  • Bita Analui,
  • Amir AghaKouchak,
  • Kuo-lin Hsu and
  • Soroosh Sorooshian

24 August 2020

Data-driven algorithms have been widely used as effective tools to mimic hydrologic systems. Unlike black-box models, decision tree algorithms offer transparent representations of systems and reveal useful information about the underlying process. A...

  • Article
  • Open Access
16 Citations
8,838 Views
16 Pages

The assessment of knowledge and skills acquired by the student at each academic stage is crucial for every educational process. This paper proposes and tests an approach based on a structured assessment test for mathematical competencies in higher ed...

  • Article
  • Open Access
41 Citations
4,551 Views
21 Pages

4 April 2019

PhotoVoltaic (PV) plants can provide important economic and environmental benefits to electric systems. On the other hand, the variability of the solar source leads to technical challenges in grid management as PV penetration rates increase continuou...

  • Review
  • Open Access
1,368 Citations
127,298 Views
40 Pages

Flood Prediction Using Machine Learning Models: Literature Review

  • Amir Mosavi,
  • Pinar Ozturk and
  • Kwok-wing Chau

27 October 2018

Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood prediction models contributed to risk reduction, policy suggestion, minimization of the loss of human life, and reduc...

  • Article
  • Open Access
5 Citations
2,575 Views
28 Pages

22 October 2023

Type 1 diabetes, a chronic condition characterized by insulin deficiency, is associated with various complications and reduced life expectancy and is increasing in global prevalence. Maintaining glycaemic control in children with type 1 diabetes, as...

  • Article
  • Open Access
12 Citations
2,934 Views
10 Pages

Improvement of PBFT Algorithm Based on CART

  • Jian Liu,
  • Wenlong Feng,
  • Yu Zhang and
  • Feiyang He

In response to the problems of the practical Byzantine fault-tolerant algorithm (PBFT), such as random selection of master nodes and poor scalability, a CART-based PBFT optimization algorithm is proposed, namely the C-PBFT algorithm. First, the intro...

  • Article
  • Open Access
24 Citations
9,116 Views
26 Pages

Towards Detection of Cutting in Hay Meadows by Using of NDVI and EVI Time Series

  • Andrej Halabuk,
  • Matej Mojses,
  • Marek Halabuk and
  • Stanislav David

15 May 2015

The main requirement for preserving European hay meadows in good condition is through prerequisite cut management. However, monitoring these practices on a larger scale is very difficult. Our study analyses the use of MODIS vegetation indices product...

  • Article
  • Open Access
3 Citations
2,749 Views
17 Pages

A Hybrid Intelligent Approach to Predict Discharge Diagnosis in Pediatric Surgical Patients

  • Himer Avila-George,
  • Miguel De-la-Torre,
  • Wilson Castro,
  • Danny Dominguez,
  • Josué E. Turpo-Chaparro and
  • Jorge Sánchez-Garcés

15 April 2021

Computer-aided diagnosis is a research area of increasing interest in third-level pediatric hospital care. The effectiveness of surgical treatments improves with accurate and timely information, and machine learning techniques have been employed to a...

  • Article
  • Open Access
2 Citations
2,249 Views
28 Pages

Smooth Sigmoid Surrogate (SSS): An Alternative to Greedy Search in Decision Trees

  • Xiaogang Su,
  • George Ekow Quaye,
  • Yishu Wei,
  • Joseph Kang,
  • Lei Liu,
  • Qiong Yang,
  • Juanjuan Fan and
  • Richard A. Levine

11 October 2024

Greedy search (GS) or exhaustive search plays a crucial role in decision trees and their various extensions. We introduce an alternative splitting method called smooth sigmoid surrogate (SSS) in which the indicator threshold function used in GS is ap...

  • Article
  • Open Access
1 Citations
2,320 Views
22 Pages

An Empirical Analysis of Crash Injury Severity Among Young Drivers in England: Accounting for Data Imbalance

  • Amirhossein Taheri,
  • Kevin Switala,
  • Grigorios Fountas,
  • Abbas Sheykhfard,
  • Nima Dadashzadeh and
  • Steffen Müller

25 April 2025

Crash data analysis is key to improving road safety, but imbalanced data challenges accurate predictions for severe crashes, often leading to biased outcomes. This study investigates crash severity among young drivers (aged 17–24) in England, u...

  • Article
  • Open Access
10 Citations
6,790 Views
18 Pages

Information Mining from Heterogeneous Data Sources: A Case Study on Drought Predictions

  • Getachew B. Demisse,
  • Tsegaye Tadesse,
  • Solomon Atnafu,
  • Shawndra Hill,
  • Brian D. Wardlow,
  • Yared Bayissa and
  • Andualem Shiferaw

The objective of this study was to develop information mining methodology for drought modeling and predictions using historical records of climate, satellite, environmental, and oceanic data. The classification and regression tree (CART) approach was...

  • Article
  • Open Access
907 Views
26 Pages

Passenger Switch Behavior and Decision Mechanisms in Multimodal Public Transportation Systems

  • Zhe Zhang,
  • Wenxie Lin,
  • Tongyu Hu,
  • Qi Cao,
  • Jianhua Song,
  • Gang Ren and
  • Changjian Wu

26 October 2025

Efficient public transportation systems are fundamental to achieving sustainable urban development. As the backbone of urban mobility, the coordinated development of rail transit and bus systems is crucial. The opening of a new rail transit line inev...

  • Article
  • Open Access
20 Citations
6,377 Views
31 Pages

19 October 2016

Because traditional decision tree (DT) induction methods cannot efficiently take advantage of geospatial knowledge in the classification of remotely sensed imagery, several researchers have presented a co-location decision tree (CL-DT) method that co...

  • Article
  • Open Access
45 Citations
6,020 Views
13 Pages

A personal credit evaluation algorithm is proposed by the design of a decision tree with a boosting algorithm, and the classification is carried out. By comparison with the conventional decision tree algorithm, it is shown that the boosting algorithm...

  • Article
  • Open Access
10 Citations
3,038 Views
11 Pages

New Model for Predicting the Presence of Coronary Artery Calcification

  • Samel Park,
  • Min Hong,
  • HwaMin Lee,
  • Nam-jun Cho,
  • Eun-Young Lee,
  • Won-Young Lee,
  • Eun-Jung Rhee and
  • Hyo-Wook Gil

25 January 2021

Coronary artery calcification (CAC) is a feature of coronary atherosclerosis and a well-known risk factor for cardiovascular disease (CVD). As the absence of CAC is associated with a lower incidence rate of CVD, measurement of a CAC score is helpful...

  • Article
  • Open Access
12 Citations
3,463 Views
19 Pages

17 May 2020

Failures of cast-resin transformers not only reduce the reliability of power systems, but also have great effects on power quality. Partial discharges (PD) occurring in epoxy resin insulators of high-voltage electrical equipment will result in harmfu...

  • Article
  • Open Access
6 Citations
3,105 Views
23 Pages

27 November 2023

The frequent fluctuation of pork prices has seriously affected the sustainable development of the pork industry. The accurate prediction of pork prices can not only help pork practitioners make scientific decisions but also help them to avoid market...

  • Article
  • Open Access
7 Citations
3,744 Views
17 Pages

4 January 2025

This study introduces a greedy algorithm for deriving decision rules from decision tree ensembles, targeting enhanced interpretability and generalization in distributed data environments. Decision rules, known for their transparency, provide an acces...

  • Article
  • Open Access
4 Citations
3,419 Views
15 Pages

The new generation of nonvitamin K antagonists are broadly applied for stroke prevention due to their notable efficacy and safety. Our study aimed to develop a suggestive utilization of dabigatran through an integrated machine learning (ML) decision-...

  • Article
  • Open Access
12 Citations
5,317 Views
19 Pages

3 May 2018

Accurate detection and isolation of possible faults are indispensable for operating complex industrial processes more safely, effectively, and economically. In this paper, we propose a fault isolation method for steam boilers in thermal power plants...

  • Article
  • Open Access
13 Citations
4,303 Views
17 Pages

18 April 2021

Due to the recent advance in the industrial Internet of Things (IoT) in manufacturing, the vast amount of data from sensors has triggered the need for leveraging such big data for fault detection. In particular, interpretable machine learning techniq...

  • Article
  • Open Access
1,915 Views
13 Pages

20 August 2025

Background/Objectives: Myopia is a growing global health concern, especially among school-aged children in East Asia. Topical atropine is a key treatment for pediatric myopia control, but individual responses vary, with some children showing rapid pr...

  • Article
  • Open Access
45 Citations
5,581 Views
30 Pages

Comparison between Deep Learning and Tree-Based Machine Learning Approaches for Landslide Susceptibility Mapping

  • Sunil Saha,
  • Jagabandhu Roy,
  • Tusar Kanti Hembram,
  • Biswajeet Pradhan,
  • Abhirup Dikshit,
  • Khairul Nizam Abdul Maulud and
  • Abdullah M. Alamri

27 September 2021

The efficiency of deep learning and tree-based machine learning approaches has gained immense popularity in various fields. One deep learning model viz. convolution neural network (CNN), artificial neural network (ANN) and four tree-based machine lea...

  • Article
  • Open Access
7 Citations
3,565 Views
22 Pages

Most digital soil mapping (DSM) approaches aim at complete statistical model extraction. The value of the explicit rules of soil delineation formulated by soil-mapping experts is often underestimated. These rules can be used for expert testing of the...

  • Article
  • Open Access
25 Citations
3,797 Views
14 Pages

4 March 2019

Hit-and-run (HR) crashes refer to crashes involving drivers of the offending vehicle fleeing incident scenes without aiding the possible victims or informing authorities for emergency medical services. This paper aims at identifying significant predi...

  • Article
  • Open Access
7 Citations
3,271 Views
16 Pages

Minimum Query Set for Decision Tree Construction

  • Wojciech Wieczorek,
  • Jan Kozak,
  • Łukasz Strąk and
  • Arkadiusz Nowakowski

14 December 2021

A new two-stage method for the construction of a decision tree is developed. The first stage is based on the definition of a minimum query set, which is the smallest set of attribute-value pairs for which any two objects can be distinguished. To obta...

  • Article
  • Open Access
1 Citations
1,241 Views
21 Pages

14 October 2025

Classification is an important task in the field of machine learning. Decision tree algorithms are a popular choice for handling classification tasks due to their high accuracy, simple algorithmic process, and good interpretability. Traditional decis...

  • Article
  • Open Access
7 Citations
3,390 Views
25 Pages

Decision Tree Analyses to Explore the Relevance of Multiple Sex/Gender Dimensions for the Exposure to Green Spaces: Results from the KORA INGER Study

  • Lisa Dandolo,
  • Christina Hartig,
  • Klaus Telkmann,
  • Sophie Horstmann,
  • Lars Schwettmann,
  • Peter Selsam,
  • Alexandra Schneider,
  • Gabriele Bolte and
  • on behalf of the INGER Study Group

Recently, attention has been drawn to the need to integrate sex/gender more comprehensively into environmental health research. Considering theoretical approaches, we define sex/gender as a multidimensional concept based on intersectionality. However...

  • Article
  • Open Access
5 Citations
3,578 Views
19 Pages

Comparison of Lake Extraction and Classification Methods for the Tibetan Plateau Based on Topographic-Spectral Information

  • Xiaoliang Wang,
  • Guangsheng Zhou,
  • Xiaomin Lv,
  • Li Zhou,
  • Mingcheng Hu,
  • Xiaohui He and
  • Zhihui Tian

2 January 2023

Accurate identification and extraction of lake boundaries are the basis of the accurate assessment of lake changes and their responses to climate change. To reduce the effects of lake ice and snow cover, mountain shadows, cloud and fog shielding, all...

  • Article
  • Open Access
12 Citations
2,821 Views
27 Pages

11 September 2023

Geotechnical engineering relies heavily on predicting soil strength to ensure safe and efficient construction projects. This paper presents a study on the accurate prediction of soil strength properties, focusing on hydrated-lime activated rice husk...

  • Article
  • Open Access
29 Citations
5,544 Views
22 Pages

27 August 2019

Judging and predicting tree suitability is of great significance in the cultivation and management of forests. Background and Objectives: Due to the diversity of tree species for afforestation in China and the lack of experts or the limitations of ex...

  • Article
  • Open Access
407 Views
16 Pages

Identifying Laboratory Parameters Profiles of COVID-19 and Influenza in Children: A Decision Tree Model

  • George Maniu,
  • Ioana Octavia Matacuta-Bogdan,
  • Ioana Boeras,
  • Grażyna Suchacka,
  • Ionela Maniu and
  • Maria Totan

8 January 2026

Background: The COVID-19 pandemic has put other infectious diseases, especially in children, into a new perspective. Our study focuses on two important viral infections: COVID-19 and influenza, which often present with similar clinical symptoms. Taki...

  • Article
  • Open Access
9 Citations
3,449 Views
12 Pages

Pes planus, one of the most common foot deformities, includes the loss of the medial arch, misalignment of the rearfoot, and abduction of the forefoot, which negatively affects posture and gait. Foot orthosis, which is effective in normalizing the ar...

  • Article
  • Open Access
41 Citations
17,030 Views
13 Pages

An Accident Detection and Classification System Using Internet of Things and Machine Learning towards Smart City

  • Mohammed Balfaqih,
  • Soltan Abed Alharbi,
  • Moutaz Alzain,
  • Faisal Alqurashi and
  • Saif Almilad

26 December 2021

Daily traffic accidents increase annually, causing a significant number of death and disability cases. Most of fatalities occur because of the late response to these emergency cases. The time after the traumatic injury is called the golden hour, wher...

  • Article
  • Open Access
34 Citations
5,459 Views
22 Pages

12 March 2020

In pedestrian inertial navigation, multi-sensor fusion is often used to obtain accurate heading estimates. As a widely distributed signal source, the geomagnetic field is convenient to provide sufficiently accurate heading angles. Unfortunately, ther...

  • Feature Paper
  • Article
  • Open Access
11 Citations
2,876 Views
21 Pages

Optimizing Rotation Forest-Based Decision Tree Algorithms for Groundwater Potential Mapping

  • Wei Chen,
  • Zhao Wang,
  • Guirong Wang,
  • Zixin Ning,
  • Boxiang Lian,
  • Shangjie Li,
  • Paraskevas Tsangaratos,
  • Ioanna Ilia and
  • Weifeng Xue

19 June 2023

Groundwater potential mapping is an important prerequisite for evaluating the exploitation, utilization, and recharge of groundwater. The study uses BFT (best-first decision tree classifier), CART (classification and regression tree), FT (functional...

  • Article
  • Open Access
10 Citations
2,997 Views
18 Pages

3 July 2023

One important aspect of network-level highway management is the rational distribution of the maintenance budget to the necessary assets. However, the decision making underlying budget allocation is often unclear, making it difficult to determine whet...

  • Article
  • Open Access
14 Citations
5,240 Views
22 Pages

7 February 2021

Certified public accounts’ (CPAs) audit opinions of going concern are the important basis for evaluating whether enterprises can achieve normal operations and sustainable development. This study aims to construct going concern prediction models to he...

  • Article
  • Open Access
14 Citations
5,357 Views
20 Pages

Predicting the Mortality of ICU Patients by Topic Model with Machine-Learning Techniques

  • Chih-Chou Chiu,
  • Chung-Min Wu,
  • Te-Nien Chien,
  • Ling-Jing Kao and
  • Jiantai Timothy Qiu

Predicting clinical patients’ vital signs is a leading critical issue in intensive care units (ICUs) related studies. Early prediction of the mortality of ICU patients can reduce the overall mortality and cost of complication treatment. Some st...

  • Article
  • Open Access
95 Citations
8,240 Views
23 Pages

Meta-XGBoost for Hyperspectral Image Classification Using Extended MSER-Guided Morphological Profiles

  • Alim Samat,
  • Erzhu Li,
  • Wei Wang,
  • Sicong Liu,
  • Cong Lin and
  • Jilili Abuduwaili

19 June 2020

To investigate the performance of extreme gradient boosting (XGBoost) in remote sensing image classification tasks, XGBoost was first introduced and comparatively investigated for the spectral-spatial classification of hyperspectral imagery using the...

  • Article
  • Open Access
18 Citations
4,624 Views
25 Pages

31 December 2018

Wood supply predictions from forest inventories involve two steps. First, it is predicted whether harvests occur on a plot in a given time period. Second, for plots on which harvests are predicted to occur, the harvested volume is predicted. This res...

  • Article
  • Open Access
5 Citations
3,732 Views
23 Pages

14 October 2019

The periodic determination of land use changes over large areas is crucial for improving our understanding of land system dynamics. Jiangsu lies at the center of China’s Yangtze Delta and has one of the fastest-developing economies in China. Ho...

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