Hakan Temiz

Hakan Temiz
Artvin Coruh University · computer Technologies

Doctor of Philosophy

About

27
Publications
1,702
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45
Citations

Publications

Publications (27)
Conference Paper
Full-text available
Introduction and Purpose: One of the most important problems in contemporary societies has always been the inequalities among urban and rural regions in access to health care services. Health inequalities between regions result from, but are not limited to, the inadequate distribution of public resources, professionals and medical technologies. Med...
Conference Paper
Full-text available
In this study, a web-based ChatBot software was developed for the Artvin Coruh University web page to provide fast and easy access to information from a single point. With the help of logically grouped and consecutive menus and textual interface, accessing the relevant information distributed on the university web page and performing certain tasks...
Preprint
Full-text available
The distribution of medical diagnostic imaging technologies (MDIT) between the regions of Türkiye were analyzed through hierarchical clustering of the capacity and use (CAU) variables. Statistics yearbooks’ data of the Ministry of Health for the years 2013 and 2018 were used. Analyses were performed on the entire CAU data and its six subsets genera...
Conference Paper
Full-text available
An exponentially increasing number of hotel images are uploaded to online travel agencies every day. These images are presented by the sites under various categories or albums. Automatic processing and categorization of such a high-volume hotel images is only possible with artificial intelligence assisted processing systems. This study targeted to...
Article
Full-text available
The Ottoman Empire's extensive archives hold valuable insights into centuries of history, necessitating the preservation and transfer of this rich heritage to future generations. To facilitate access and analysis, numerous digitization efforts have been undertaken to transform these valuable resources into digital formats. The quality of digitized...
Preprint
Full-text available
Images cannot always be expected to come in a certain standard format and orientation. Deep networks need to be trained to take into account unexpected variations in orientation or format. For this purpose, training data should be enriched to include different conditions. In this study, the effects of data enrichment on the performance of deep netw...
Preprint
Hotel bathrooms are one of the most important places in terms of customer satisfaction, and where the most complaints are reported. To share their experiences, guests rate hotels, comment, and share images of their positive or negative ratings. An important part of the room images shared by guests is related to bathrooms. Guests tend to prove their...
Preprint
Full-text available
In organizations, employees work with information stored in files according to their duties and responsibilities. Windows uses resource-based access permissions that any permission for any user has to be set separately per resource. This approach gets complicated as the number of resources and users increase, and causes oversights in assigning perm...
Conference Paper
Full-text available
Miniatures are small images drawn on manuscripts to describe and depict the subject of the manuscripts in a visual manner. In this way, they strengthened the narration of the manuscripts and supported a better grasp of the narration. They can be considered as historical documents as they depict many contemporary subjects and events such as victorie...
Article
Full-text available
An open source tool is introduced that provides a versatile environment to meet the needs of researchers in developing deep learning (DL) algorithms for single image super-resolution reconstruction (SISR). The processes of SISR were carefully studied, unified and integrated to create software that can be used by the community for any type of imagin...
Conference Paper
Full-text available
It is very important to transfer the enormous archive left by the Ottomans to the present and the future. Huge digital archive transformation and collection studies are carried out in this context. Resolution of digitized archive documents can affect the performance and quality of the studies in text search, text analysis, character recognition, et...
Article
Full-text available
Hotel bathrooms are one of the most important places in terms of customer satisfaction, and where the most complaints are reported. To share their experiences, guests rate hotels, comment, and share images of their positive or negative ratings. An important part of the room images shared by guests is related to bathrooms. Guests tend to prove their...
Conference Paper
Full-text available
Guest rooms are one of the most important places in terms of customer satisfaction in hotels. As the bathrooms are one of the most complained parts of the rooms, special care should be taken. Guests rate and share comments and images of their positive or negative experience with hotels. Guests tend to prove their satisfaction, dissatisfaction or ba...
Article
Full-text available
Images cannot always be expected to come in a certain standard format and orientation. Deep networks need to be trained to take into account unexpected variations in orientation or format. For this purpose, training data should be enriched to include different conditions. In this study, the effects of data enrichment on the performance of deep netw...
Conference Paper
Full-text available
Images cannot always be expected to come in a certain standard format and orientation. Deep networks need to be trained to take into account unexpected variations in orientation or format. For this purpose, training data should be enriched to include different conditions. In this study, the effects of data enrichment on the performance of deep netw...
Conference Paper
Full-text available
Scientists, researchers, engineers, etc. almost everyone who works with data crosses paths with Pandas at some point. It is so powerful library that allows for easy, rapid and efficient manipulation of data. It can convert data it represent into various file types. Among these file types, the determination of the one which records the same Pandas d...
Conference Paper
Full-text available
Marking attendance (MA) of students in the classes or exam halls is not only an onerous task for the instructors, but it is also time consuming. There is a growing need for efficient and autonomous techniques for marking attendance. Face recognition is one of prevalently used biometric techniques for identification and authentication of humans tha...
Article
Full-text available
Scientists, researchers, engineers, etc. almost everyone who works with data crosses paths with Pandas at some point. It is so powerful library that allows for easy, rapid and efficient manipulation of data. It can convert data it represent into various file types. Among these file types, the determination of the one which records the same Pandas d...
Article
Full-text available
Marking attendance (MA) of students in the classroom and exam halls is not only a burdensome task for the instructors, but it is also time consuming. There is a growing need for efficient and autonomous techniques in MA. This article introduces an attendance system based on face recognition. The developed method detects the students exploiting thei...
Article
Full-text available
In organizations, employees work with information stored in files according to their duties and responsibilities. Windows uses resource-based access permissions that any permission for any user has to be set separately per resource. This approach gets complicated as the number of resources and users increase, and causes oversights in assigning perm...
Preprint
Full-text available
To facilitate the management of access control, resources in a network environment are usually collected in folders. Users are assigned certain access or denial permissions to each resource in accordance with their duties and responsibilities. Windows allows to set access permissions on a resource-basis. That is, each distinct access permission for...
Preprint
I introduce an open source tool that eases and automates the entire process of the design and implementation of deep learning (DL) algorithms for single image super resolution reconstruction (SISR). It ensures rapid prototyping of DL models with a simple and easy framework, and performing experimental and computational studies in a fully automated...
Preprint
Full-text available
Super resolution (SR) has been used in ultrasound imaging (USI) to overcome the low resolution (LR) problem, as it is applied in many other imaging modalities. In post-processing stage of USI, many SR techniques were implemented on the radio frequency (RF) signal data, while some implemented on the B-mode images that are produced from the same ultr...
Conference Paper
Full-text available
When training deep networks, it is crucial toobtain a network that offers optimum performance by tryingdifferent values of many hyper parameters and combinations ofthese values. Theoretically, the optimal set of values, whichensure the maximum performance of the network, can be foundby giving these parameters numerous different values. However,it i...
Article
Full-text available
Ultrasound offers a safe, non-invasive, and inexpensive way of imaging. However, due to its natural intrinsic imaging characteristics, it produces poor quality images with low resolution (LR) compared to other medical imaging modalities. Various image enhancement techniques have been extensively studied to overcome these shortcomings. Super-resolut...
Conference Paper
Full-text available
Yüksek hacimli verilerin makine öğrenmesi (MÖ) ve derin öğrenme (DÖ) yöntem ve teknikleri ile işlenmesi için özel tasarlanmış donanımlara ihtiyaç duyulmaktadır. Bu donanımlar ihtiyaç sahipleri açısından önemli bir maliyet unsurudur. Özelikle, araştırmacı, eğitimci ve öğrenciler gibi kısıtlı imkânlara sahip olanlar açısından bahsi geçen donanımları...
Conference Paper
Full-text available
Deep learning architectures are applied in thesolution of many problems and give very successful resultscompared to other methods. One of these problems is the SuperResolution problem. In this study, we tried to solve the problem ofsuper resolution by using different deep learning architectures toobtain higher resolution images. The models used in...

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