Abdulhamit Subasi

An Ensemble Voting Approach With Innovative Multi-Domain Feature Fusion for Neonatal Sleep Stratification (2023)

IEEE Access

Irfan Muhammad, Siddiqa Hafza Ayesha, Nahliis Abdelwahed, Chen Chen, Xu Yan, Wang Laishuan, Nawaz Anum, Subasi Abdulhamit, Westerlund Tomi, Chen Wei

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Automated and accurate focal EEG signal detection method based on the cube pattern (2023)

Multimedia Tools and Applications

Tuncer Turker, Dogan Sengul, Kaya M Cagri, Subasi Abdulhamit

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

OzNet: A New Deep Learning Approach for Automated Classification of COVID-19 Computed Tomography Scans (2023)

Big data

Ozaltin Oznur, Yeniay Ozgur, Subasi Abdulhamit

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Deep learning approaches for the cardiovascular disease diagnosis using smartphone (2022)

Subasi Abdulhamit, Kontio Elina, Jafaritadi Mojtaba

(B2 Vertaisarvioimaton kirjan tai muun kokoomateoksen osa)

Artificial intelligence-based retinal disease classification using optical coherence tomography images (2022)

Patnaik Sohan, Subasi Abdulhamit

(Kirjan tai muun kokoomateoksen osa (B2))

LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals (2022)

Cognitive Neurodynamics

Tuncer Turker, Dogan Sengul, Subasi Abdulhamit

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

A Deep Learning Approach for Detecting Stroke from Brain CT Images Using OzNet (2022)

Bioengineering

Ozaltin Oznur, Coskun Orhan, Yeniay Ozgur, Subasi Abdulhamit

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Automated detection of colon cancer using deep learning (2022)

Rajput Aayush, Subasi Abdulhamit

(Kirjan tai muun kokoomateoksen osa (B2))

Artificial Intelligence in Brain Computer Interface (2022)

International Congress on Human-Computer Interaction, Optimization and Robotic Applications

Subasi Abdulhamit

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

A deep learning approach for COVID-19 detection from computed tomography scans (2022)

Varshney Ashutosh, Subasi Abdulhamit

(Kirjan tai muun kokoomateoksen osa (B2))

Ota yhteyttä

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An Ensemble Voting Approach With Innovative Multi-Domain Feature Fusion for Neonatal Sleep Stratification (2023)

Automated and accurate focal EEG signal detection method based on the cube pattern (2023)

OzNet: A New Deep Learning Approach for Automated Classification of COVID-19 Computed Tomography Scans (2023)

Deep learning approaches for the cardiovascular disease diagnosis using smartphone (2022)

Artificial intelligence-based retinal disease classification using optical coherence tomography images (2022)

LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals (2022)

A Deep Learning Approach for Detecting Stroke from Brain CT Images Using OzNet (2022)

Automated detection of colon cancer using deep learning (2022)

Artificial Intelligence in Brain Computer Interface (2022)

A deep learning approach for COVID-19 detection from computed tomography scans (2022)