Zobrazeno 1 - 10 of 64 pro vyhledávání: '"Omer Deperlioglu"'
1
Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: Analysis with doctor evaluation
Autor: Omer Deperlioglu, Utku Kose, Deepak Gupta, Ashish Khanna, Fabio Giampaolo, Giancarlo Fortino
Publikováno v: Future Generation Computer Systems. 129:152-169
Glaucoma causes blindness in long-time untreated cases. So, its early diagnosis is very important. Moving from that, there have been lots of Deep Learning oriented studies to diagnose Glaucoma from color fundus images. However, it is important to kno
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d6b63f7cb9fd1fa7e4b4ccd2e0786f9
https://doi.org/10.1016/j.future.2021.11.018
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5
Determining optimum carob powder adsorbtion for cleaning wastewater: intelligent optimization with electro-search algorithm
Autor: Omer Deperlioglu, Pandian Vasant, Bahdişen Gezer, Dmytro Zubov, Utku Kose
Publikováno v: Wireless Networks. 26:5665-5679
In this study, effective and fast removal efficiency of carob powder (as an absorbent material from liquid phase) was investigated by focusing on the dangerous paint methylene blue mixture. The surface texture developed adsorbent was revealed to be p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63aafeee1b67040f51dbcd20f3fb9a91
https://doi.org/10.1007/s11276-019-02035-1
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6
An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network
Autor: Omer Deperlioglu, Utku Kose, D. Jude Hemanth
Publikováno v: Neural Computing and Applications. 32:707-721
The objective of this study is to propose an alternative, hybrid solution method for diagnosing diabetic retinopathy from retinal fundus images. In detail, the hybrid method is based on using both image processing and deep learning for improved resul
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a0a763f65291209495c38098d77d29ed
https://doi.org/10.1007/s00521-018-03974-0
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8
Recognition of Hand Gesture Image Using Deep Convolutional Neural Network
Autor: K. Martin Sagayam, Ahona Ghosh, Omer Deperlioglu, A. Diana Andrushia, Ahmed A. Elngar
Publikováno v: International Journal of Image and Graphics. 22
In recent technology, there is tremendous growth in computer applications that highlight human–computer interaction (HCI), such as augmented reality (AR), and Internet of Things (IoT). As a consequence, hand gesture recognition was highlighted as a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0ca1439b0ed65c629710aacf252b1c12
https://doi.org/10.1142/s0219467821400088
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Plný text Recenzováno Digitální knihovna AV ČR
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