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Lastest publications

Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep learning model
Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks
Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm
Otitis media diagnosis model for tympanic membrane images processed in two-stage processing blocks
Determination of Tympanic Membrane Region in the Middle Ear Otoscope Images with Convolutional Neural Network Based YOLO Method
Detection of weather images by using spiking neural networks of deep learning models
Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks
Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods
Predicting fetal hypoxia using common spatial pattern and machine learning from cardiotocography signals
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
A novel demodulation system for base band digital modulation signals based on the deep long short-term memory model
Classification of Brain MRI Using Hyper Column Technique with Convolutional Neural Network and Feature Selection Method
Waste Classification using AutoEncoder Network with Integrated Feature Selection Method in Convolutional Neural Network Models
BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model
Fusing fine-tuned deep features for recognizing different tympanic membranes

SAMSUN UNIVERSITY
CONTACT

Faculty of Engineering
Software Engineering

Address: Ballıca Yerleşkesi İstiklal Mahallesi Ondokuzmayıs / SAMSUN
Phone: +90 (362) 313 0055 - 2016
E-mail: zcomert[at]samsun.edu.tr

Distance Education Application and Research Center Directorate

Address: Gürgenyatak Mahallesi Merkez Canik / SAMSUN
Phone: +90 (362) 313 0055 - 2601
E-mail: uzem[at]samsun.edu.tr

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