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149 Results Found

  • Article
  • Open Access
5 Citations
9,072 Views
26 Pages

Terrorism perpetrated in any country by either internal or external actors jeopardizes the country’s security, economic growth, societal peace, and harmony. Hence, accurate modelling of terrorism has become a necessary component of the national...

  • Article
  • Open Access
2,142 Views
12 Pages

Outlier Recognition via Linguistic Aggregation of Graph Databases

  • Adam Niewiadomski,
  • Agnieszka Duraj and
  • Monika Bartczak

12 August 2021

Datasets frequently contain uncertain data that, if not interpreted with care, may affect information analysis negatively. Such rare, strange, or imperfect data, here called “outliers” or “exceptions” can be ignored in further processing or, on the o...

  • Article
  • Open Access
300 Views
20 Pages

4 December 2025

In data mining and exploration, outliers are specific and infrequent data that require special attention, as they may reveal potentially hazardous information. Detecting outliers can support, e.g., identification fraudulent credit card usage or unaut...

  • Article
  • Open Access
10 Citations
3,464 Views
22 Pages

FraudMove: Fraud Drivers Discovery Using Real-Time Trajectory Outlier Detection

  • Eman O. Eldawy,
  • Abdeltawab Hendawi,
  • Mohammed Abdalla and
  • Hoda M. O. Mokhtar

Taxicabs and rideshare cars nowadays are equipped with GPS devices that enable capturing a large volume of traces. These GPS traces represent the moving behavior of the car drivers. Indeed, the real-time discovery of fraud drivers earlier is a demand...

  • Article
  • Open Access
3 Citations
1,826 Views
14 Pages

6 December 2023

P450nor is a heme-containing enzyme that catalyzes the conversion of nitric oxide (NO) to nitrous oxide (N2O). Its catalytic mechanism has attracted attention in chemistry, biology, and environmental engineering. The catalytic cycle of P450nor is pro...

  • Article
  • Open Access
20 Citations
3,723 Views
20 Pages

3 June 2019

The indoor localization method based on the Received Signal Strength (RSS) fingerprint is widely used for its high positioning accuracy and low cost. However, the propagation behavior of radio signals in an indoor environment is complicated and alway...

  • Article
  • Open Access
2 Citations
5,760 Views
13 Pages

Background: Cryo-electron microscopy (cryo-EM) has become a major technique for protein structure determination. However, due to the low quality of cryo-EM density maps, many protein structures derived from cryo-EM contain outliers introduced during...

  • Article
  • Open Access
3,161 Views
19 Pages

Filtering Link Outliers in Vehicle Trajectories by Spatial Reasoning

  • Junli Liu,
  • Miaomiao Pan,
  • Xianfeng Song,
  • Jing Wang,
  • Kemin Zhu,
  • Runkui Li,
  • Xiaoping Rui,
  • Weifeng Wang,
  • Jinghao Hu and
  • Venkatesh Raghavan

Vehicle trajectories derived from Global Navigation Satellite Systems (GNSS) are used in various traffic applications based on trajectory quality analysis for the development of successful traffic models. A trajectory consists of points and links tha...

  • Article
  • Open Access
10 Citations
3,376 Views
25 Pages

20 August 2021

The analysis of a city’s spatial development, in terms of a location that meets the needs of its inhabitants, requires many approaches. The preliminary assessment of the collected material showed that there was real estate in the database whose price...

  • Article
  • Open Access
624 Views
36 Pages

27 September 2025

Cracks in concrete structures, caused by aging, adjacent construction, and seismic activity, pose critical risks to structural integrity, durability, and serviceability. Traditional monitoring methods based solely on absolute thresholds are inadequat...

  • Article
  • Open Access
1 Citations
1,852 Views
23 Pages

Outlier Detection and Correction in Smart Grid Energy Demand Data Using Sparse Autoencoders

  • Levi da Costa Pimentel,
  • Ricardo Wagner Correia Guerra Filho,
  • Juan Moises Mauricio Villanueva and
  • Yuri Percy Molina Rodriguez

19 December 2024

The implementation of smart grids introduces complexities where data quality issues, particularly outliers, pose significant challenges to accurate data analysis. This work develops an integrated methodology for the detection and correction of outlie...

  • Article
  • Open Access
38 Citations
9,455 Views
21 Pages

False Positive RFID Detection Using Classification Models

  • Ganjar Alfian,
  • Muhammad Syafrudin,
  • Bohan Yoon and
  • Jongtae Rhee

19 March 2019

Radio frequency identification (RFID) is an automated identification technology that can be utilized to monitor product movements within a supply chain in real-time. However, one problem that occurs during RFID data capturing is false positives (i.e....

  • Article
  • Open Access
10 Citations
3,447 Views
20 Pages

Towards Outlier Sensor Detection in Ambient Intelligent Platforms—A Low-Complexity Statistical Approach

  • Diego Martín,
  • Damaris Fuentes-Lorenzo,
  • Borja Bordel and
  • Ramón Alcarria

29 July 2020

Sensor networks in real-world environments, such as smart cities or ambient intelligent platforms, provide applications with large and heterogeneous sets of data streams. Outliers—observations that do not conform to an expected behavior—has then turn...

  • Article
  • Open Access
14 Citations
7,143 Views
9 Pages

Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Classification-Based Methods

  • Yaoguang Wang,
  • Yaohao Zheng,
  • Yunxiang Zhang,
  • Yongsheng Xie,
  • Sen Xu,
  • Ying Hu and
  • Liang He

24 November 2021

The task of unsupervised anomalous sound detection (ASD) is challenging for detecting anomalous sounds from a large audio database without any annotated anomalous training data. Many unsupervised methods were proposed, but previous works have confirm...

  • Article
  • Open Access
43 Citations
16,867 Views
30 Pages

18 April 2018

The Australian Dietary Guidelines (ADGs) and Health Star Rating (HSR) front-of-pack labelling system are two national interventions to promote healthier diets. Our aim was to assess the degree of alignment between the two policies. Methods: Nutrition...

  • Article
  • Open Access
14 Citations
3,482 Views
14 Pages

Healthcare Costs and Health Status: Insights from the SHARE Survey

  • Małgorzata Cygańska,
  • Magdalena Kludacz-Alessandri and
  • Chris Pyke

The substantial rise in hospital costs over recent years is associated with the rapid increase in the older age population. This study addresses an empirical gap in the literature concerning the determinants of high hospital costs in a group of older...

  • Article
  • Open Access
17 Citations
5,109 Views
12 Pages

8 August 2017

Development of accurate data-driven quality prediction models for industrial blast furnaces encounters several challenges mainly because the collected data are nonlinear, non-Gaussian, and uneven distributed. A just-in-time correntropy-based local so...

  • Article
  • Open Access
11 Citations
2,188 Views
20 Pages

A Hybrid Approach for Soil Total Nitrogen Anomaly Detection Integrating Machine Learning and Spatial Statistics

  • Wengang Zheng,
  • Renping Lan,
  • Lili Zhangzhong,
  • Linnan Yang,
  • Lutao Gao and
  • Jingxin Yu

24 October 2023

Soil total nitrogen is one of the most important basic indicators for fertiliser decision making, but tens of millions of soil total nitrogen sampling data have been accumulated, forming a huge database. In this large database, there is a large amoun...

  • Article
  • Open Access
5 Citations
3,805 Views
10 Pages

Finding Hidden Outliers to Promote the Consistency of Key Morphological Traits and Phylogeny in Dennstaedtiaceae

  • Ting Wang,
  • Li Liu,
  • Jun-Jie Luo,
  • Yu-Feng Gu,
  • Si-Si Chen,
  • Bing Liu,
  • Hui Shang and
  • Yue-Hong Yan

23 August 2021

With the development of open science and technological innovation, using sharing data and molecular biology techniques in the study of taxonomy and systematics have become a crucial component of plants, which undoubtedly helps us discover more hidden...

  • Article
  • Open Access
2,625 Views
16 Pages

3 June 2025

Anomaly detection is a process in which outlier samples can be detected in a given dataset. The purpose of this study is to implement, test, and evaluate the possibility of using deep learning methods for outlier detection with the use of a fine-tuni...

  • Article
  • Open Access
8 Citations
5,519 Views
19 Pages

4 December 2019

This paper develops a three-step spatial data mining approach to directly identify road clusters with high-frequency crashes (RCHC). The first step, preprocessing, is to store the roads and crashes in a spatial database. The second step is to describ...

  • Article
  • Open Access
24 Citations
3,907 Views
16 Pages

13 April 2019

CryoSat-2 altimetry has become a valuable tool for monitoring the water level of lakes. In this study, a concentrated probability density function (PDF) method was proposed for preprocessing CryoSat-2 Geophysical Data Record (GDR) data. CryoSat-2 alt...

  • Article
  • Open Access
5 Citations
3,055 Views
18 Pages

Local Correlation Integral Approach for Anomaly Detection Using Functional Data

  • Jorge R. Sosa Donoso,
  • Miguel Flores,
  • Salvador Naya and
  • Javier Tarrío-Saavedra

6 February 2023

The present work develops a methodology for the detection of outliers in functional data, taking into account both their shape and magnitude. Specifically, the multivariate method of anomaly detection called Local Correlation Integral (LOCI) has been...

  • Article
  • Open Access
14 Citations
3,558 Views
20 Pages

15 November 2018

Because of multiple manufacturing phases or operating conditions, a great many industrial processes work with multiple modes. In addition, it is inevitable that some measurements of industrial variables obtained through hardware sensors are incorrect...

  • Article
  • Open Access
38 Citations
4,426 Views
17 Pages

23 July 2018

With the increasing integration of renewable energy resources and other forms of dispersed generation, more and more variances and uncertainties are brought to modern power systems. The dynamic security assessment (DSA) of modern power systems is fac...

  • Article
  • Open Access
6 Citations
2,767 Views
16 Pages

Probability-Based Failure Evaluation for Power Measuring Equipment

  • Jie Liu,
  • Qiu Tang,
  • Wei Qiu,
  • Jun Ma and
  • Junfeng Duan

18 June 2021

Accurate reliability and residual life analysis is paramount during the designing of reliability requirements and rotation of power measuring equipment (PME). However, the sample dataset of failure is usually sparse and contains inevitable pollution...

  • Article
  • Open Access
8 Citations
8,872 Views
14 Pages

11 August 2018

Three-dimensional (3D) analysis of borehole data is very important for effective mineral exploration. It can be used not only to understand the geological structure of the underground, but to estimate the amount of the resource. In the mining industr...

  • Systematic Review
  • Open Access
2 Citations
1,155 Views
14 Pages

Image-Based Robotic Unicompartmental Knee Arthroplasty Results in Fewer Radiologic Outliers with No Impact on Revision Rates Compared to Imageless Systems: A Systematic Review

  • Horia Tomescu,
  • George M. Avram,
  • Giacomo Pacchiarotti,
  • Randa Elsheikh,
  • Octav Russu,
  • Andrej M. Nowakowski,
  • Michael T. Hirschmann and
  • Vlad Predescu

25 August 2025

Background: Robotic-assisted unicompartmental knee arthroplasty (UKA) enhances the precision of component alignment compared to conventional techniques. Although various robotic systems exist, direct comparisons assessing their relative clinical perf...

  • Article
  • Open Access
6 Citations
3,412 Views
24 Pages

Ensemble Learning for Multi-Label Classification with Unbalanced Classes: A Case Study of a Curing Oven in Glass Wool Production

  • Minh Hung Ho,
  • Amélie Ponchet Durupt,
  • Hai Canh Vu,
  • Nassim Boudaoud,
  • Arnaud Caracciolo,
  • Sophie Sieg-Zieba,
  • Yun Xu and
  • Patrick Leduc

10 November 2023

The Industrial Internet of Things (IIoT), which integrates sensors into the manufacturing system, provides new paradigms and technologies to industry. The massive acquisition of data, in an industrial context, brings with it a number of challenges to...

  • Article
  • Open Access
4 Citations
1,489 Views
19 Pages

Annually, many people worldwide lose their lives due to breast cancer, making it one of the most prevalent cancers in the world. Since the disease is becoming more common, early detection of breast cancer is essential to avoiding serious complication...

  • Article
  • Open Access
3 Citations
2,519 Views
17 Pages

Manifold Regularized Principal Component Analysis Method Using L2,p-Norm

  • Minghua Wan,
  • Xichen Wang,
  • Hai Tan and
  • Guowei Yang

5 December 2022

The main idea of principal component analysis (PCA) is to transform the problem of high-dimensional space into low-dimensional space, and obtain the output sample set after a series of operations on the samples. However, the accuracy of the tradition...

  • Article
  • Open Access
12 Citations
2,779 Views
16 Pages

Trauma Quality Improvement Program: A Retrospective Analysis from A Middle Eastern National Trauma Center

  • Hassan Al-Thani,
  • Ayman El-Menyar,
  • Naushad Ahmad Khan,
  • Rafael Consunji,
  • Gladys Mendez,
  • Tarik S. Abulkhair,
  • Monira Mollazehi,
  • Ruben Peralta,
  • Husham Abdelrahman and
  • Sandro Rizoli
  • + 1 author

31 October 2023

Background: The Trauma Quality Improvement Program (American College of Surgery (ACS-TQIP)) uses the existing infrastructure of the Committee on Trauma programs and provides feedback to participating hospitals on risk-adjusted outcomes. This study ai...

  • Article
  • Open Access
14 Citations
3,607 Views
18 Pages

Assessment of the Development of Poverty in EU Countries

  • Agnieszka Sompolska-Rzechuła and
  • Agnieszka Kurdyś-Kujawska

The aim of the article is to assess of development of poverty in EU countries in 2010 and 2019. The study used the model method of the linear ordering of objects—TOPSIS, considering the distance of each object from both the pattern and the non-...

  • Article
  • Open Access
3 Citations
2,343 Views
17 Pages

Estimation of Radial Basis Function Network Centers via Information Forces

  • Edilson Sousa Júnior,
  • Antônio Freitas,
  • Ricardo Rabelo and
  • Welflen Santos

23 September 2022

The determination of The Radial Basis Function Network centers is an open problem. This work determines the cluster centers by a proposed gradient algorithm, using the information forces acting on each data point. These centers are applied to a Radia...

  • Article
  • Open Access
920 Views
24 Pages

4 September 2025

This study presents the results of preliminary documentation and radon tracer investigations conducted at the “Aurelia” Mine in Złotoryja. Measurements of 222Rn activity concentrations were carried out between 17 March and 26 August...

  • Article
  • Open Access
16 Citations
4,050 Views
22 Pages

31 December 2021

To address the data storage, management, analysis, and mining of ship targets, the object-oriented method was employed to design the overall structure and functional modules of a ship trajectory data management and analysis system (STDMAS). This pape...

  • Article
  • Open Access
339 Views
21 Pages

1 January 2026

Marine natural products (MNPs) are a diverse group of bioactive compounds with varied chemical structures, but their biological origins are often misannotated due to complex host–microbe symbiosis. Propagated through public databases, such erro...

  • Article
  • Open Access
1 Citations
1,841 Views
16 Pages

Statistical and Clustering Analysis of Safety Profiles of FDA-Approved Protein Kinase Inhibitors

  • Ioana Lavinia Radulian,
  • Georgiana Nitulescu,
  • Anca Zanfirescu and
  • George Mihai Nitulescu

17 December 2024

Protein kinases are vital regulators in cell biology, modifying protein functions through phosphorylation. Protein kinase inhibitors (PKIs), which impede these kinases’ activities, have broadened their therapeutic scope from cancer treatment to...

  • Article
  • Open Access
2 Citations
3,131 Views
15 Pages

11 April 2020

Protein kinases play a pivotal role in signal transduction, protein synthesis, cell growth and proliferation. Their deregulation represents the basis of pathogenesis for numerous diseases such as cancer and pathologies with cardiovascular, nervous an...

  • Article
  • Open Access
4 Citations
10,188 Views
11 Pages

Quality control and normalization is considered the most important step in the analysis of microarray data. At present there are various methods available for quality assessments of microarray datasets. However there seems to be no standard visualiza...

  • Article
  • Open Access
9 Citations
6,768 Views
19 Pages

Data-Driven Analysis for Facility Management in Higher Education Institution

  • Ashish Kumar Pampana,
  • JungHo Jeon,
  • Soojin Yoon,
  • Theodore J. Weidner and
  • Makarand Hastak

29 November 2022

Planned Preventive Maintenance (PPM) and Unplanned Maintenance (UPM) are the most common types of facility maintenance. This paper analyzes current trends and status of Facility Management (FM) practice at higher education institutions by proposing a...

  • Article
  • Open Access
914 Views
19 Pages

29 July 2025

Data-driven approaches and calibration techniques for mathematical models, starting from observed data, are attracting more and more interest in the field of civil engineering. Among them, evolutionary polynomial regression (EPR) is an artificial int...

  • Article
  • Open Access
1 Citations
3,419 Views
17 Pages

11 April 2022

In March 2021, a case of speculation that abused private internal information came to light, which involved a group of public officials from the Korea Land and Housing Corporation (LH), and has since been labeled the ‘LH Scandal’. In this...

  • Article
  • Open Access
15 Citations
2,740 Views
13 Pages

The current work presents an objective overview of the impact of one important heterocyclic structure, the pyrazole ring, in the development of anti-proliferative drugs. A set of 1551 pyrazole derivatives were extracted from the National Cancer Insti...

  • Article
  • Open Access
6 Citations
8,331 Views
13 Pages

Does Globalization Encourage Female Employment? A Cross-Country Panel Study

  • Asrifa Hossain,
  • Shankar Ghimire,
  • Anna Valeva and
  • Jessica Harriger-Lin

29 March 2022

The objective of the paper is to examine whether female participation in the labor force (FPLF) is influenced by a country’s participation in international markets through foreign direct investment (FDI)—a proxy for globalization. We obta...

  • Article
  • Open Access
14 Citations
3,997 Views
15 Pages

19 October 2021

Salmonella spp. and Escherichiacoli (E. coli) are two of the deadliest foodborne pathogens in the US. Genes involved in antimicrobial resistance, virulence, and stress response, enable these pathogens to increase their pathogenicity. This study aims...

  • Article
  • Open Access
1 Citations
3,333 Views
25 Pages

MSProfileR: An Open-Source Software for Quality Control of Matrix-Assisted Laser Desorption Ionization–Time of Flight Spectra

  • Refka Ben Hamouda,
  • Bertrand Estellon,
  • Khalil Himet,
  • Aimen Cherif,
  • Hugo Marthinet,
  • Jean-Marie Loreau,
  • Gaëtan Texier,
  • Samuel Granjeaud and
  • Lionel Almeras

In the early 2000s, matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) emerged as a performant and relevant tool for identifying micro-organisms. Since then, it has become practically essential for ident...

  • Article
  • Open Access
7 Citations
3,883 Views
23 Pages

Improving Subsurface Characterisation with ‘Big Data’ Mining and Machine Learning

  • Rachel E. Brackenridge,
  • Vasily Demyanov,
  • Oleg Vashutin and
  • Ruslan Nigmatullin

31 January 2022

Large databases of legacy hydrocarbon reservoir and well data provide an opportunity to use modern data mining techniques to improve our understanding of the subsurface in the presence of uncertainty and improve predictability of reservoir properties...

  • Article
  • Open Access
18 Citations
7,767 Views
20 Pages

Earth observation and monitoring of soil quality, long term changes of soil characteristics and deterioration processes such as degradation or desertification are among the most important objectives of remote sensing. The georeferenciation of such in...

  • Review
  • Open Access
17 Citations
7,940 Views
24 Pages

Cleaning Big Data Streams: A Systematic Literature Review

  • Obaid Alotaibi,
  • Eric Pardede and
  • Sarath Tomy

In today’s big data era, cleaning big data streams has become a challenging task because of the different formats of big data and the massive amount of big data which is being generated. Many studies have proposed different techniques to overco...

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