FF-BTP Model for Novel Sound-Based Community Emotion Detection. - Arif Metehan Yildiz; Masayuki Tanabe; Makiko Kobayashi; Ilknur Tuncer; Prabal Datta Barua; Sengul Dogan; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (IEEE Access, 2023)

An accurate automated speaker counting architecture based on James Webb Pattern. - Prabal Datta Barua; Arif Metehan Yildiz; Nida Canpolat; Tugce Keles; Sengul Dogan; Mehmet Baygin; Ilknur Tuncer; Turker Tuncer; Ru-San Tan; Hamido Fujita; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2023)

PatchResNet: Multiple Patch Division-Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images. - Taha Müezzinoglu; Nursena Baygin; Ilknur Tuncer; Prabal Datta Barua; Mehmet Baygin; Sengul Dogan; Turker Tuncer; Elizabeth Emma Palmer; Kang Hao Cheong; U. Rajendra Acharya (J. Digit. Imaging, 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. - Kenan Erdem; Mehmet Ali Kobat; Mehmet Nail Bilen; Yunus Balik; Sevim Alkan; Feyzanur Cavlak; Ahmet Kursad Poyraz; Prabal Datta Barua; Ilknur Tuncer; Sengul Dogan; Mehmet Baygin; Mehmet Erten; et al. (Int. J. Imaging Syst. Technol., 2023)

A new hand-modeled learning framework for driving fatigue detection using EEG signals. - Sengul Dogan; Ilknur Tuncer; Mehmet Baygin; Turker Tuncer (Neural Comput. Appl., 2023)

Automated facial expression recognition using exemplar hybrid deep feature generation technique. - Mehmet Baygin; Ilknur Tuncer; Sengul Dogan; Prabal Datta Barua; Turker Tuncer; Kang Hao Cheong; U. Rajendra Acharya (Soft Comput., 2023)

FGPat18: Feynman graph pattern-based language detection model using EEG signals. - Serkan Kirik; Sengul Dogan; Mehmet Baygin; Prabal Datta Barua; Caner Feyzi Demir; Tugce Keles; Arif Metehan Yildiz; Nursena Baygin; Ilknur Tuncer; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (Biomed. Signal Process. Control., 2023)

Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction. - Mehmet Erten; Ilknur Tuncer; Prabal Datta Barua; Kubra Yildirim; Sengul Dogan; Turker Tuncer; Ru-San Tan; Hamido Fujita; U. Rajendra Acharya (J. Digit. Imaging, 2023)

Swin-LBP: a competitive feature engineering model for urine sediment classification. - Mehmet Erten; Prabal Datta Barua; Ilknur Tuncer; Sengul Dogan; Mehmet Baygin; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (Neural Comput. Appl., 2023)

A lightweight deep convolutional neural network model for skin cancer image classification. - Turker Tuncer; Prabal Datta Barua; Ilknur Tuncer; Sengul Dogan; U. Rajendra Acharya (Appl. Soft Comput., 2024)

MobileDenseNeXt: Investigations on biomedical image classification. - Ilknur Tuncer; Sengul Dogan; Turker Tuncer (Expert Syst. Appl., 2024)

DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals. - Serkan Kirik; Irem Tasci; Prabal Datta Barua; Arif Metehan Yildiz; Tugce Keles; Mehmet Baygin; Ilknur Tuncer; Sengul Dogan; Turker Tuncer; Aruna Devi; Ru-San Tan; U. Rajendra Acharya (Knowl. Based Syst., 2024)

GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds. - Mehmet Kiliç; Prabal Datta Barua; Tugce Keles; Arif Metehan Yildiz; Ilknur Tuncer; Sengul Dogan; Mehmet Baygin; Turker Tuncer; Mutlu Kuluozturk; Ru-San Tan; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2024)

MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201. - Fahrettin Burak Demir; Mehmet Baygin; Ilknur Tuncer; Prabal Datta Barua; Sengul Dogan; Turker Tuncer; Chui Ping Ooi; Edward J. Ciaccio; U. Rajendra Acharya (Multim. Tools Appl., 2024)

FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection. - Ilknur Tuncer; Abdul Hafeez-Baig; Prabal Datta Barua; Rena Hajiyeva; Massimo Salvi; Sengul Dogan; Turker Tuncer; U. Rajendra Acharya (Biomed. Signal Process. Control., 2025)

An innovative approach to parasite classification in biomedical imaging using neural networks. - Ozlem Aytac; Feray Ferda Senol; Ilknur Tuncer; Sengul Dogan; Turker Tuncer (Eng. Appl. Artif. Intell., 2025)