Ilknur Tuncer

Orcid: 0000-0003-1549-7008

According to our database1, Ilknur Tuncer authored at least 14 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201.
Multim. Tools Appl., September, 2024

GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds.
Eng. Appl. Artif. Intell., January, 2024

DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals.
Knowl. Based Syst., 2024

MobileDenseNeXt: Investigations on biomedical image classification.
Expert Syst. Appl., 2024

A lightweight deep convolutional neural network model for skin cancer image classification.
Appl. Soft Comput., 2024

2023
Swin-LBP: a competitive feature engineering model for urine sediment classification.
Neural Comput. Appl., October, 2023

Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction.
J. Digit. Imaging, August, 2023

FGPat18: Feynman graph pattern-based language detection model using EEG signals.
Biomed. Signal Process. Control., August, 2023

Automated facial expression recognition using exemplar hybrid deep feature generation technique.
Soft Comput., July, 2023

A new hand-modeled learning framework for driving fatigue detection using EEG signals.
Neural Comput. Appl., July, 2023

Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images.
Int. J. Imaging Syst. Technol., July, 2023

PatchResNet: Multiple Patch Division-Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images.
J. Digit. Imaging, June, 2023

An accurate automated speaker counting architecture based on James Webb Pattern.
Eng. Appl. Artif. Intell., March, 2023

FF-BTP Model for Novel Sound-Based Community Emotion Detection.
IEEE Access, 2023


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