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2020 – today
- 2024
[j16]Mesut Togaçar
, Burhan Ergen:
Processing 2D barcode data with metaheuristic based CNN models and detection of malicious PDF files. Appl. Soft Comput. 161: 111722 (2024)- 2023
- [j15]Muhammet Gökhan Albayrak, Ertan Evin, Oktay Yigit, Mesut Togaçar, Burhan Ergen:
Experimental and artificial intelligence approaches to measuring the wear behavior of DIN St28 steel boronized by the box boronizing method using a mechanically alloyed powder source. Eng. Appl. Artif. Intell. 120: 105910 (2023) - 2022
- [j14]Mesut Togaçar, Nedim Muzoglu, Burhan Ergen, Bekir Siddik Binboga Yarman, Ahmet Mesrur Halefoglu:
Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs. Biomed. Signal Process. Control. 71(Part): 103128 (2022) - [j13]Mesut Togaçar, Burhan Ergen:
Classification of cloud images by using super resolution, semantic segmentation approaches and binary sailfish optimization method with deep learning model. Comput. Electron. Agric. 193: 106724 (2022) - [j12]Mesut Togaçar:
Detection of retinopathy disease using morphological gradient and segmentation approaches in fundus images. Comput. Methods Programs Biomed. 214: 106579 (2022) - [j11]Mesut Togaçar:
Using DarkNet models and metaheuristic optimization methods together to detect weeds growing along with seedlings. Ecol. Informatics 68: 101519 (2022) - [j10]Mesut Togaçar:
Detecting attacks on IoT devices with probabilistic Bayesian neural networks and hunger games search optimization approaches. Trans. Emerg. Telecommun. Technol. 33(1) (2022) - 2021
- [b1]Mesut Togaçar:
Tıbbi beyin MR görüntülerinde kitle tespiti için yeni bir evrişimsel sinir ağı modelinin geliştirilmesi (Development of a new convolutional neural network model for mass detection in medical brain MR images). Fırat University, Turkey, 2021 - [j9]Mesut Togaçar:
Detection of segmented uterine cancer images by Hotspot Detection method using deep learning models, Pigeon-Inspired Optimization, types-based dominant activation selection approaches. Comput. Biol. Medicine 136: 104659 (2021) - [j8]Mesut Togaçar:
Disease type detection in lung and colon cancer images using the complement approach of inefficient sets. Comput. Biol. Medicine 137: 104827 (2021) - [j7]Mesut Togaçar, Burhan Ergen, Zafer Cömert:
Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks. Medical Biol. Eng. Comput. 59(7-8): 57-70 (2021) - [j6]Mesut Togaçar, Burhan Ergen, Zafer Cömert:
Detection of weather images by using spiking neural networks of deep learning models. Neural Comput. Appl. 33(11): 6147-6159 (2021) - [j5]Mesut Togaçar, Zafer Cömert, Burhan Ergen:
Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep learning model. Neural Comput. Appl. 33(16): 9877-9889 (2021) - 2020
- [j4]Mesut Togaçar, Burhan Ergen, Zafer Cömert:
Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods. Appl. Soft Comput. 97(Part B): 106810 (2020) - [j3]Mesut Togaçar, Burhan Ergen, Zafer Cömert:
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches. Comput. Biol. Medicine 121: 103805 (2020) - [j2]Mesut Togaçar, Zafer Cömert, Burhan Ergen:
Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method. Expert Syst. Appl. 149: 113274 (2020) - [j1]Mesut Togaçar, Zafer Cömert, Burhan Ergen, Fatih Özyurt:
Corrigendum to "Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method" Expert Systems with Applications 149 (2020) 1-8 /113274. Expert Syst. Appl. 150: 113366 (2020)
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last updated on 2024-08-05 20:22 CEST by the dblp team
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