İbrahim Yücel Özbek
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View article: Deep learning-based fractured tooth detection in occlusal radiographs
Deep learning-based fractured tooth detection in occlusal radiographs Open
The findings indicate that the proposed method effectively detects fractured teeth by leveraging machine learning techniques. Furthermore, this approach provides a pioneering framework for integrating artificial intelligence (AI) methodolo…
View article: Bioinformatics and machine learning-based simultaneous spectrophotometric identification of Montelukast sodium and Desloratadine in a commercial film-coated tablet
Bioinformatics and machine learning-based simultaneous spectrophotometric identification of Montelukast sodium and Desloratadine in a commercial film-coated tablet Open
Desloratadine (DL) and montelukast sodium (MTS) are combined in a pharmaceutical preparation for the treatment of allergic rhinitis and asthma. DL is a competitive H1-receptor antagonist and helps the management of allergic reactions and r…
View article: Deep Learning-Based Fractured Tooth Detection in Occlusal Radiographs
Deep Learning-Based Fractured Tooth Detection in Occlusal Radiographs Open
Background This study highlights the importance of accurate and quick diagnosis of detection and classification of fractured teeth and the potential benefits of applying deep learning (DL) techniques to solve this problem. Methods In the s…
View article: Drone Classification with a Hybrid Deep Learning Approach Based on Mel-Spectrogram Representation
Drone Classification with a Hybrid Deep Learning Approach Based on Mel-Spectrogram Representation Open
With technological advancements, the use of drones has become increasingly widespread in both civilian and military sectors in recent years. There is a need for technologies that can detect and identify the presence, type, or flight mode o…
View article: Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method
Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method Open
Objective: Before dental procedures, hand-wrist radiographs are used to plan treatment time and determine skeletal maturity. This study aims to determine gender from hand-wrist radiographs using different deep-learning methods. Methods: Th…
View article: Artificial intelligence in tongue diagnosis: classification of tongue lesions and normal tongue images using deep convolutional neural network
Artificial intelligence in tongue diagnosis: classification of tongue lesions and normal tongue images using deep convolutional neural network Open
Objective This study aims to classify tongue lesion types using tongue images utilizing Deep Convolutional Neural Networks (DCNNs). Methods A dataset consisting of five classes, four tongue lesion classes (coated, geographical, fissured to…
View article: Classification of Plant Diseases with Machine Learning
Classification of Plant Diseases with Machine Learning Open
Deep learning applications are also of great importance in the field of agriculture. It is an issue that should be examined in terms of what the diagnosis of the disease is and its treatment in the disease of plants. A study on the detecti…
View article: An efficient 3D column-only P300 speller paradigm utilizing few numbers of electrodes and flashings for practical BCI implementation
An efficient 3D column-only P300 speller paradigm utilizing few numbers of electrodes and flashings for practical BCI implementation Open
The event related P300 potentials, positive waveforms in electroencephalography (EEG) signals, are often utilized in brain computer interfaces (BCI). Many studies have been carried out to improve the performance of P300 speller systems eit…
View article: Investigating the Effect of COVID-19 Infection on P300 Based BCI Application Performance
Investigating the Effect of COVID-19 Infection on P300 Based BCI Application Performance Open
The COVID-19, which has rapidly spread and infected millions of people from all over the world, causes various problems including psychiatric, economic, educational as well as health. Many studies have been reported that COVID-19 can be ch…
View article: Production of Kanthal-D Nanoparticles Using Exploding Wire Method
Production of Kanthal-D Nanoparticles Using Exploding Wire Method Open
This work examines the production of nanoparticles using exploding wire method (EWM). It is applied by the sudden discharge of a high voltage energy, stored on a power source, through a thin wire. The required high voltage energy was obtai…
View article: Multi-Scale Aircraft Detection from Satellite Images
Multi-Scale Aircraft Detection from Satellite Images Open
Satellite image analysis is a research area in which many research studies are carried out for civil and military applications in the field of image processing. Satellite imagery has many applications including recognition, detection and c…
View article: Epileptic Seizure Detection based on EEG Signal using Boosting Classifiers
Epileptic Seizure Detection based on EEG Signal using Boosting Classifiers Open
The detection of epileptic seizures by electroencephalography (EEG) signals has become a standard method for the diagnosis of epilepsy. Accurate and automatic detection of epileptic seizures is needed since manual identification of epilept…
View article: Generalized filter bank design for sleep stage classification
Generalized filter bank design for sleep stage classification Open
In this study, binary sleep stage classification (sleep or awake state) was performed using single-channel EEG signal. A new frequency warping function is proposed for this purpose. This function provides a bending function that can proper…
View article: Gender clasification based on single channel EEG signal
Gender clasification based on single channel EEG signal Open
This paper presents an approach for gender recognition from single channel EEG signal. For this purpose, approximately 24 hour-long EEG data, obtained during daily routine activities including sleep, was used. First, cepstrum coefficients …
View article: Sleep stage classification based on filter bank optimization
Sleep stage classification based on filter bank optimization Open
Sleep stage binary classification is studied using single channel EEG signals. The proposed approach is composed of two steps. In the first step, cepstrum coefficients based features are obtained from EEG signals using a filter bank approa…