Search Results - "Turkoglu, Muammer"

COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble by Turkoglu, Muammer

“…The recent novel coronavirus (also known as COVID-19) has rapidly spread worldwide, causing an infectious respiratory disease that has killed hundreds of…”
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PlantDiseaseNet: convolutional neural network ensemble for plant disease and pest detection by Turkoglu, Muammer, Yanikoğlu, Berrin, Hanbay, Davut

“…Plant diseases and pests cause significant losses in agriculture, with economic, ecological and social implications. Therefore, early detection of plant…”
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Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network by Imak, Andac, Celebi, Adalet, Siddique, Kamran, Turkoglu, Muammer, Sengur, Abdulkadir, Salam, Iftekhar

“…Panoramic and periapical radiograph tools help dentists in diagnosing the most common dental diseases, such as dental caries. Generally, dental caries is…”
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A novel hybrid attention gate based on vision transformer for the detection of surface defects by Üzen, Hüseyin, Turkoglu, Muammer, Ozturk, Dursun, Hanbay, Davut

“…Many advanced models have been proposed for automatic surface defect inspection. Although CNN-based methods have achieved superior performance among these…”
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A multi-division convolutional neural network-based plant identification system by Turkoglu, Muammer, Aslan, Muzaffer, Arı, Ali, Alçin, Zeynep Mine, Hanbay, Davut

“…Plants have an important place in the life of all living things. Today, there is a risk of extinction for many plant species due to climate change and its…”
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Defective egg detection based on deep features and Bidirectional Long-Short-Term-Memory by Turkoglu, Muammer

“…•In this paper, we developed a real-time system based on a continuous rotating system for the detection of defective eggs.•A combination of pre-trained CNN and…”
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Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects by Üzen, Hüseyin, Türkoğlu, Muammer, Yanikoglu, Berrin, Hanbay, Davut

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A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks by Polat, Hüseyin, Türkoğlu, Muammer, Polat, Onur, Şengür, Abdülkadir

“…•In the study, a data set specific to SDN-based SCADA architecture was obtained.•A novel systematic approach based on DDoS data is introduced.•Proposed model…”
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Recognition of DDoS attacks on SD-VANET based on combination of hyperparameter optimization and feature selection by Türkoğlu, Muammer, Polat, Hüseyin, Koçak, Cemal, Polat, Onur

“…•In the study, a data set specific to SD-VANET architecture was obtained.•A novel systematic approach based on DDoS data is introduced.•Proposed model achieved…”
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Leaf-based plant species recognition based on improved local binary pattern and extreme learning machine by Turkoglu, Muammer, Hanbay, Davut

“…Over the past 15 years, many feature extraction methods have been used and developed for the recognition of plant species. These methods have mostly been…”
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Recognition of plant leaves: An approach with hybrid features produced by dividing leaf images into two and four parts by Turkoglu, Muammer, Hanbay, Davut

“…Plants play a crucial role in the lives of all living things. A risk of extinction exists for many plants, hence many botanists and scientists are working in…”
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Forecasting of medical equipment demand and outbreak spreading based on deep long short-term memory network: the COVID-19 pandemic in Turkey by Koç, Erdinç, Türkoğlu, Muammer

“…The need for healthcare equipment has increased due to the COVID-19 outbreak. Forecasting of these demands allows states to use their resources effectively…”
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Ensemble Learning Framework for DDoS Detection in SDN-Based SCADA Systems by Oyucu, Saadin, Polat, Onur, Türkoğlu, Muammer, Polat, Hüseyin, Aksöz, Ahmet, Ağdaş, Mehmet Tevfik

“…Supervisory Control and Data Acquisition (SCADA) systems play a crucial role in overseeing and controlling renewable energy sources like solar, wind, hydro,…”
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Multi-Stage Learning Framework Using Convolutional Neural Network and Decision Tree-Based Classification for Detection of DDoS Pandemic Attacks in SDN-Based SCADA Systems by Polat, Onur, Türkoğlu, Muammer, Polat, Hüseyin, Oyucu, Saadin, Üzen, Hüseyin, Yardımcı, Fahri, Aksöz, Ahmet

“…Supervisory Control and Data Acquisition (SCADA) systems, which play a critical role in monitoring, managing, and controlling industrial processes, face…”
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FishAgePredictioNet: A multi-stage fish age prediction framework based on segmentation, deep convolution network, and Gaussian process regression with otolith images by İşgüzar, Seda, Türkoğlu, Muammer, Ateşşahin, Tuncay, Dürrani, Ömerhan

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Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests by Turkoglu, Muammer, Hanbay, Davut, Sengur, Abdulkadir

“…In this paper, we proposed Multi-model LSTM-based Pre-trained Convolutional Neural Networks (MLP-CNNs) as an ensemble majority voting classifier for the…”
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Texture defect classification with multiple pooling and filter ensemble based on deep neural network by Uzen, Huseyin, Turkoglu, Muammer, Hanbay, Davut

“…•The paper presents a novel Multiple Pooling and Filter approach based on a Deep Neural Network.•The pre-trained deep network was used to extract features from…”
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Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi‐channel feature extraction and selection by Sertkaya, Mehmet Emre, Ergen, Burhan, Türkoğlu, Muammer, Tonkal, Özgür

“…In this article, we have proposed a multi‐stage in‐depth approach based on the improved VGGNet architecture for automatically and accurately diagnosing…”
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Maxillary sinus detection on cone beam computed tomography images using ResNet and Swin Transformer-based UNet by Çelebi, Adalet, Imak, Andaç, Üzen, Hüseyin, Budak, Ümit, Türkoğlu, Muammer, Hanbay, Davut, Şengür, Abdulkadir

“…This study, which uses artificial intelligence-based methods, aimed to determine the limits of pathologic conditions and infections related to the maxillary…”
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ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images by Imak, Andaç, Çelebi, Adalet, Polat, Onur, Türkoğlu, Muammer, Şengür, Abdulkadir

“…Objective Impacted tooth is a common problem that can occur at any age, causing tooth decay, root resorption, and pain in the later stages. In recent years,…”
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