Faculty

Institution

Unit

Venue

Kazim Sekeroglu

Southeastern Louisiana University

Affiliations

The College of Science and Technology

Department Of Computer Science

Department Of Industrial And Engineering Technology

Faculty Of Engineering

School Of Graduate

Southeastern Louisiana University

NoneKazim Sekeroglu is currently serving as a Computer Science faculty at Southeastern Louisiana University.

Honors

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Experiences

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Education

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Kazim Sekeroglu

Southeastern Louisiana University

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deep learning data science pattern recognition machine learning computer science computer vision machine vision information fusion medical image computing neuroscience systems engineering computational neuroscience respiratory medicine image representation neuroinformatics feature fusion fusion learning lung nodule classification wearable technology sleep machine intelligence mobile computing physiological measurements computational imaging pain research industrial ergonomics computational intelligence knowledge discovery marine engineering marine structures operational oceanography marine policy health monitoring sleep medicine patient monitoring sleep-related breathing disorders 3d computer vision object recognition image classification eeg signal processing braincomputer interface traffic models transportation planning traffic management traffic engineering traffic flow sensor arrays sensor applications sensor technology smart sensors sensor design brain mapping occupational ergonomics back pain pattern mining medical image analysis classification method statistical pattern recognition pattern discovery convolutional neural networks computer-aided diagnosis mobile communications global system frequency spectrum analysis video mining temporal patterns visual stimuli visual imagery information college students mathematical modelling approach student desks hierarchical fusion u.s. gulf

Notable Scholarly Works

Notable Federal Grants

Collaborators

Decoding Visual Stimuli and Visual Imagery Information From Eeg Signals Utilizing Multi-Perspective 3D-CNN Based Hierarchical Deep-Fusion Learning Network. (2024)

brain mappingimage representationvisual imagery informationvisual stimulineurosciencedata sciencecomputational neuroscienceinformation fusionfeature fusionneuroinformaticsdeep learningfusion learningneural network (machine learning)

A Mathematical Modelling Approach for Analysing the Risk of Low Back Pain in College Students Using Student Desks. International Journal of Human Factors and Ergonomics (2023)

kinesiologymathematical modelling approachback painoccupational ergonomicschronic paincollege studentspain managementstudent desksrehabilitationpain researchindustrial ergonomics

A Novel Portable Real-Time Low-Cost Sleep Apnea Monitoring System Based on the Global System for Mobile Communications (Gsm) Network. Medical & Biological Engineering & Computing (2022)

mobile communicationssleepmobile computingsleep medicineglobal systemphysiological measurementspatient monitoringsleep-related breathing disorderswearable technologyhealth monitoring

Classification of Eeg Motor Imagery Tasks Utilizing 2D Temporal Patterns With Deep Learning. (2022)

pattern recognitionbraincomputer interfaceneurosciencedata sciencetemporal patternseeg signal processingcomputational neuroscienceneuroimagingneuroinformaticsdeep learning

Improved Assessment of Offshore Helideck Marking Standards’ Compliance Using Optimized Machine Learning Principles in the U.S. Gulf of Mexico. (2022)

coastal engineeringsystems engineeringcivil engineeringoperational oceanographymarine policyu.s. gulfperformance evaluationdata sciencemarine engineeringmarine structures

Multi-Perspective Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. Sensors (2022)

Kazim SekerogluÖmer Muhammet Soysal

smart sensorsmedical image computingsensor technologysensor designsensor applicationstechnologycomputational imagingsystems biologylung nodule classificationmedical imaginginstrumentationremote sensingbiosensorsrespiratory medicineinformation fusionsensor arrayshealth sciencesdeep learning

An Automated Geo-Spatial Correction Framework for Transportation. Journal of Traffic and Transportation Engineering (English Edition) (2019)

Ömer M. SoysalKazim ŞekerogluJeff Dickey

transportation engineeringsystems engineeringapplied mathematicsengineeringtraffic engineeringtraffic managementtraffic flowtraffic modelstransportation planning

Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification.. Machine Learning and Data Mining in Pattern Recognition (2019)

Kazim SekerogluÖmer Muhammet SoysalXin Li

medical image computingmedical image analysiscomputer sciencerespiratory medicinestatistical pattern recognitionmachine visionpattern miningknowledge discoverycomputer visiondata scienceclassification methodpattern recognitionpattern discoverycomputational intelligencedata miningmachine learninglung nodule classificationhealth sciencesdeep learning

Video Mining for Facial Action Unit Classification Using Statistical Spatial–Temporal Feature Image and Log Deep Convolutional Neural Network. Machine Vision and Applications (2018)

Masoud Z. LifkooeeÖmer M. SoysalKazim Sekeroglu

pattern recognition3d computer visionobject recognitionmachine learningmachine intelligencedata sciencecomputer visionvideo miningimage classificationmachine visiondeep learning

Comparison of Sift, Bi-Sift, and Tri-Sift and Their Frequency Spectrum Analysis. Machine Vision and Applications (2017)

Kazim ŞekeroğluÖmer Muhammet Soysal

pattern recognitioncomputer sciencefrequency spectrum analysismachine learningmachine visioncomputer vision

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Kazim Sekeroglu

Southeastern Louisiana University

Affiliations

The College of Science and Technology

Department Of Computer Science

Department Of Industrial And Engineering Technology

Faculty Of Engineering

School Of Graduate

Southeastern Louisiana University

NoneKazim Sekeroglu is currently serving as a Computer Science faculty at Southeastern Louisiana 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

Kazim Sekeroglu

Southeastern Louisiana University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Decoding Visual Stimuli and Visual Imagery Information From Eeg Signals Utilizing Multi-Perspective 3D-CNN Based Hierarchical Deep-Fusion Learning Network. (2024)

A Mathematical Modelling Approach for Analysing the Risk of Low Back Pain in College Students Using Student Desks. International Journal of Human Factors and Ergonomics (2023)

kinesiologymathematical modelling approachback painoccupational ergonomicschronic paincollege studentspain managementstudent desksrehabilitationpain researchindustrial ergonomics

A Novel Portable Real-Time Low-Cost Sleep Apnea Monitoring System Based on the Global System for Mobile Communications (Gsm) Network. Medical & Biological Engineering & Computing (2022)

mobile communicationssleepmobile computingsleep medicineglobal systemphysiological measurementspatient monitoringsleep-related breathing disorderswearable technologyhealth monitoring

Classification of Eeg Motor Imagery Tasks Utilizing 2D Temporal Patterns With Deep Learning. (2022)

pattern recognitionbraincomputer interfaceneurosciencedata sciencetemporal patternseeg signal processingcomputational neuroscienceneuroimagingneuroinformaticsdeep learning

Improved Assessment of Offshore Helideck Marking Standards’ Compliance Using Optimized Machine Learning Principles in the U.S. Gulf of Mexico. (2022)

coastal engineeringsystems engineeringcivil engineeringoperational oceanographymarine policyu.s. gulfperformance evaluationdata sciencemarine engineeringmarine structures

Multi-Perspective Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. Sensors (2022)

Kazim SekerogluÖmer Muhammet Soysal

An Automated Geo-Spatial Correction Framework for Transportation. Journal of Traffic and Transportation Engineering (English Edition) (2019)

Ömer M. SoysalKazim ŞekerogluJeff Dickey

transportation engineeringsystems engineeringapplied mathematicsengineeringtraffic engineeringtraffic managementtraffic flowtraffic modelstransportation planning

Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification.. Machine Learning and Data Mining in Pattern Recognition (2019)

Kazim SekerogluÖmer Muhammet SoysalXin Li

Video Mining for Facial Action Unit Classification Using Statistical Spatial–Temporal Feature Image and Log Deep Convolutional Neural Network. Machine Vision and Applications (2018)

Masoud Z. LifkooeeÖmer M. SoysalKazim Sekeroglu

pattern recognition3d computer visionobject recognitionmachine learningmachine intelligencedata sciencecomputer visionvideo miningimage classificationmachine visiondeep learning

Comparison of Sift, Bi-Sift, and Tri-Sift and Their Frequency Spectrum Analysis. Machine Vision and Applications (2017)

Kazim ŞekeroğluÖmer Muhammet Soysal

pattern recognitioncomputer sciencefrequency spectrum analysismachine learningmachine visioncomputer vision

1
2
10 / page