Duygu BAĞCI DAŞ
Ege Meslek Yüksekokulu, Bilgisayar Teknolojileri Bölümü, Bilgisayar Programcılığı Programı
Research areas: Artificial Intelligence, Computer Learning and Pattern Recognition, Biosignal Processing, Software Engineering, Database and Data Structures, Software, Image and Video Processing, Biostatistics and Medical Informatics, Biomedical Image Processing, Biomechanics, Mechanics of Solid Bodies
Publications
- Reassessing the neurophysiological effects of repetitive transcranial magnetic stimulation: A systematic review and comparative meta-analysis across protocols, outcome measures and cortical sites (2026)
- Defect attention-based lightweight real-time adaptable surface defect analysis (2025)
- An Intelligent and Lightweight Approach Based on MobilenetV2 Architecture for Identifying Brain Tumors (2025)
- Complexity of Resting Cortical Activity Predicts Neurophysiological Responses to Theta- Burst Stimulation but Fails to Generalize: A Rigorous Machine-Learning Approach (2025)
- LSC-VAE: a lightweight separable convolutional variational autoencoder for unsupervised and generalisable gearbox fault detection (2025)
- A multi-modal sensing based terrain identification approach for active lower limb exoskeletons (2025)
- Influence of helmet positioning on uncertainty of blunt impact absorption performance tests (2025)
- LSC-VAE: a lightweight separable convolutional variational autoencoder for unsupervised and generalisable gearbox fault detection (2025)
- Influence of helmet positioning on uncertainty of blunt impact absorption performance tests (2025)
- Analysis of Deep Learning Performance in MNIST Image Classification Using a Hybrid QCNN-CNN Approach with Quantum and Classical Neural Network Models (2024)
- Cognitive State Prediction via EEG Signals Using Convolutional Neural Network (2024)
- Cognitive State Prediction via EEG Signals Using Convolutional Neural Network (2024)
- Analysis of Deep Learning Performance in MNIST Image Classification Using a Hybrid QCNN-CNN Approach with Quantum and Classical Neural Network Models (2024)
- GABoT: A Lightweight Real-Time Adaptable Approach for Intelligent Fault Diagnosis of Rotating Machinery (2024)
- Real-time adaptable fault analysis of rotating machines based on Marine predator algorithm optimised LightGBM approach (2024)
- Predicting medical drug usage intentions via SGD-based text classification model (2024)
- Real-time adaptable fault analysis of rotating machines based on Marine predator algorithm optimised LightGBM approach (2024)
- Delamination Localization in the Composite Thin Plates Using Ensemble Learning: Bagging and Boosting Techniques (2023)
- Human activity recognition based on multi‐instance learning (2023)
- Smart machine fault diagnostics based on fault specified discrete wavelet transform (2023)
- GASEL: Genetic algorithm-supported ensemble learning for fault detection in autonomous underwater vehicles (2023)
- Crack detection in folded plates with back-propagated artificial neural network (2023)
- Machine learning for fault analysis in rotating machinery: A comprehensive review (2023)
- Network-based community detection of early-stage COVID-19 pandemic based on the international geographical distance (2023)
- İzotropik Plakaların Regressif Topluluk Öğrenmesi Kullanarak Serbest Titreşim Analizi (2022)
- Investigating Word Association Mining Techniques (2022)
- XHAC: Explainable Human Activity Classification From Sensor Data (2022)
- Ordered physical human activity recognition based on ordinal classification (2021)
- Crack Detection in Folded Plates With Back-Propagated Artificial Neural Network (2021)
- XHAC (2021)
- Classification of Hand-Based and Non-Hand-Based Physical Activities Using Wearable Sensors (2020)
- Classification of Autism Spectrum Disorder: Deep Learning Approach (2019)
- Classification of Autism Spectrum Disorder: Deep Learning Approach (2019)
- Mesleki ve Teknik Yükseköğretim Kurumları Öğrencilerinin Sektördeki Modern Teknolojilerle Uyum Süreçlerinin Yapılandırılması (2018)
- Using Artificial Intelligence Algorithms in Damage Detection of Structural Elements (2018)
- Autism Spectrum Disorder Classification : A Deep Learning Approach - Otizm Spektrum Bozukluğu Sınıflandırması : Derin Öğrenme Yaklaşımı (2018)
- Alt Ekstremite Kaslarının Diz Hareketleri İle İlişkisinin Kestiriminde Makine Öğrenmesi Algoritmalarının Kullanımı (2017)
- Test Tabanlı Yazılım Geliştirme Sürecinde Türkiye’de Selenium Kullanımı - The Use of Selenium In Turkey As Test Based Software Development (2017)
- The Performance Analysis Of Optical Burst Switching By Random Forest Algorithm (2017)
- Mesleki ve Teknik Yükseköğretim Kurumları Öğrencilerinin Sektördeki Modern Teknolojilerle Uyum Süreçlerinin Yapılandırılması - Structuring the Process Of The Students Of Vocational And Technical Higher Eductaion Institutions To Adapt The Modern Technologies In Industry (2017)
- Protez-Biyonik El Kontrolü İçin EMG İşaretlerinin MakineÖğrenmesi Metodlarıyla Sınıflandırılması (2016)
- EPUB: Reflowable,accessible,interactive and open source file format for electronic publications in lifelong learning (2015)