Faculty

Institution

Unit

Venue

Antonio Cardenas

Assistant Professor of Computer Science

Western Illinois University

Affiliations

College of Business & Technology

Computer Science

Computer Sciences

Department Of Computer And Information Science

Antonio Cardenas is currently serving as a College Of Business & Technology Assistant Professor of Computer Science at Western Illinois University.

Honors

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Experiences

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Education

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Antonio Cardenas

Western Illinois University

Assistant Professor of Computer Science

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biosignal processing electrophysiology cardiology physiological measurements distributed systems data security electrophysiological evaluation biostatistics signal processing data mining patient monitoring classification method statistics economics political science time series measurement game theory multiagent systems biomedical circuits political analysis economic modelling artificial society nuclear cardiology cardiovascular imaging bayesian analysis genetic programming evolutionary computation genome biology networked system design design automation control optimization timefrequency analysis waveform analysis agent-based system agent-based models behavioral agent agent decision-making political competition agent theory cardiovascular physiology bayesian inference sequence design variable-length code cloud data management storage security distributed file systems distributed cloud network analytics network robustness dynamic networks co-simulation reconfigurability reconfigurable architectures computer modeling unstructured mesh generation mesh optimization mesh reduction mechanical performance material handling complete study standard ecg database multijurisdictional scenario computational method ecg traces bayesian classification models substitution matrices file alterations sybil nodes reconfigurable model efficient simulation acyclic dr-mesh industrial lifting activities biomechanical system premature ventricular contractions ecg beats quantum computing network security sybil attack quantum algorithms cryptography

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Novel Unsupervised Computational Method for Ventricular and Supraventricular Origin Beats Classification. Big Data for eHealth Applications; Journal of Applied Sciences (2021)

nuclear cardiologycardiovascular physiologycomputational methodpattern recognitioncardiovascular imagingbiosignal processingmachine learningcardiologydata sciencedata miningapplied mathematics

Detecting and Preventing File Alterations in the Cloud Using a Distributed Collaborative Approach. The International Conference on Information Technology - New Generations (ITNG 2019) (2019)

information securitycomputer sciencedata securityoperating systemscloud data managementstorage securitydata sciencedistributed systemscloud computingdistributed cloudfile alterationsdata managementdistributed file systems

Investigating Issues in Computing Education: Usability Factors for the Use of an Operating System Among African American and Hispanic American High School Students. ICTE Journal (2019)

educational applicationcomputing educationtechnologyeducationusability factorscomputer-based educationoperating systemsuser interfaceshuman-computer interactionuser experiencechild-computer interactioneducational technologyusability engineeringafrican americandistance education

Bayesian Classification Models for Premature Ventricular Contraction Detection on Ecg Traces. Journal of Healthcare Engineering (2018)

electrophysiological evaluationclassification methodbiosignal processingbiostatisticsmachine learningbayesian analysiscardiologydata sciencesignal processingphysiological measurementsstatistical modelsbayesian inferencepatient monitoringecg traceselectrophysiologybayesian classification models

Evaluation of Materials in a Biomechanical System for Uses in Industrial Lifting Activities, Advanced Building Materials for Passive House and Energy Storage. Advances in Materials Science and Engineering (2017)

materials sciencebiomechanical systemstructural materialsmechanical performanceindustrial lifting activitiesmaterial handlingengineering structuresconstruction materialsenergy storagemechanical engineeringcivil engineeringmechanical properties

Tails Linux Operating System: Remaining Anonymous With the Assistance of an Incognito System in Times of High Surveillance. International Journal of Hyperconnectivity and the Internet of Things (IJHIoT) (2017)

tails linuxinformation securitycomputer scienceprivacy-preserving communicationdata securitycommunicationdata privacyoperating systemshigh surveillancecomputer securityinformation forensicsprivacy anonymityincognito systemsurveillance capitalism

Evaluation of Three Machine Learning Algorithms as Classifiers of Premature Ventricular Contractions on Ecg Beats. Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE /PAHCE) (2016)

classifier systemscomputer sciencedigital medicineelectrophysiological evaluationpattern recognitionbiosignal processingclassification methodmachine learningecg beatscardiologypremature ventricular contractionsdata sciencephysiological measurementsdata miningmachine learning researchlearning classifier systemelectrophysiology

Tails Linux, the Amnesiac Incognito System in Times of High Surveillance, Its Security Flaws, Limitations and Strengths in the Fight for Democracy, Security Solutions for Hyperconnectivity and the Internet of Things. IGI Global (2016)

system softwareinformation securitycomputer sciencetails linuxdata securitydata privacyoperating systemscomputer securitycommunication securityconfidential computingoperating system securitynetworked intelligenceinternet securityamnesiac incognito systemsecurity flawsinternet of things

A Complete Study of Variability in Time and Amplitude of a Standard Ecg Database. International Journal of Computer Theory and Engineering (2015)

statisticselectrophysiological evaluationbiosignal processingmeasurementbiostatisticstime seriesbiomedical circuitssignal processingphysiological measurementsstandard ecg databasepatient monitoringwaveform analysiselectrophysiologytimefrequency analysiscomplete study

Mathematical Analysis of the Running Time and Speedup of the Parallel Mergesort Algorithm. XXIV Semana de Investigacion y Docencia en Matematicas (2014)

parallel computingmathematical analysiscomputer scienceparallel processingcomputational mathematicsparallel complexity theoryrunning timenumerical algorithmshigh performance computer architectureapplied mathematicsparallel programmingparallel mergesort algorithmparallel metaheuristicsparallel performance evaluation

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Antonio Cardenas

Assistant Professor of Computer Science

Western Illinois University

Affiliations

College of Business & Technology

Computer Science

Computer Sciences

Department Of Computer And Information Science

Antonio Cardenas is currently serving as a College Of Business & Technology Assistant Professor of Computer Science at Western Illinois University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Antonio Cardenas

Western Illinois University

Assistant Professor of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Novel Unsupervised Computational Method for Ventricular and Supraventricular Origin Beats Classification. Big Data for eHealth Applications; Journal of Applied Sciences (2021)

nuclear cardiologycardiovascular physiologycomputational methodpattern recognitioncardiovascular imagingbiosignal processingmachine learningcardiologydata sciencedata miningapplied mathematics

Detecting and Preventing File Alterations in the Cloud Using a Distributed Collaborative Approach. The International Conference on Information Technology - New Generations (ITNG 2019) (2019)

Investigating Issues in Computing Education: Usability Factors for the Use of an Operating System Among African American and Hispanic American High School Students. ICTE Journal (2019)

Bayesian Classification Models for Premature Ventricular Contraction Detection on Ecg Traces. Journal of Healthcare Engineering (2018)

A Complete Study of Variability in Time and Amplitude of a Standard Ecg Database. International Journal of Computer Theory and Engineering (2015)

Mathematical Analysis of the Running Time and Speedup of the Parallel Mergesort Algorithm. XXIV Semana de Investigacion y Docencia en Matematicas (2014)

1
2
10 / page