Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Ahmet, Soylu"'
Autor:
Akif Quddus Khan, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-31 (2024)
Abstract Cloud computing has become popular among individuals and enterprises due to its convenience, scalability, and flexibility. However, a major concern for many cloud service users is the rising cost of cloud resources. Since cloud computing use
Externí odkaz:
https://doaj.org/article/15f9f8fb024c494094afb3d96c5cbc6b
Autor:
Md Nazmul Islam, Mehedi Hasan, Md. Kabir Hossain, Md. Golam Rabiul Alam, Md Zia Uddin, Ahmet Soylu
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Renal failure, a public health concern, and the scarcity of nephrologists around the globe have necessitated the development of an AI-based system to auto-diagnose kidney diseases. This research deals with the three major renal diseases cate
Externí odkaz:
https://doaj.org/article/89e1e16ea8124241bedb856115b65d64
Publikováno v:
IEEE Access, Vol 10, Pp 74638-74654 (2022)
The landscape of software engineering research has changed significantly from one year to the next in line with industrial needs and trends. Therefore, today’s research literature on software engineering has a rich and multidisciplinary content tha
Externí odkaz:
https://doaj.org/article/5ccbbb9b0d0e423f881eb1141a5053fc
Autor:
Fatih Gurcan, Gonca Gokce Menekse Dalveren, Nergiz Ercil Cagiltay, Dumitru Roman, Ahmet Soylu
Publikováno v:
IEEE Access, Vol 10, Pp 106093-106109 (2022)
From the early days of computer systems to the present, software testing has been considered as a crucial process that directly affects the quality and reliability of software-oriented products and services. Accordingly, there is a huge amount of lit
Externí odkaz:
https://doaj.org/article/0e578a2a954649b281b9109b5712efe9
Autor:
Md Zia Uddin, Ahmet Soylu
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Healthcare using body sensor data has been getting huge research attentions by a wide range of researchers because of its good practical applications such as smart health care systems. For instance, smart wearable sensor-based behavior recog
Externí odkaz:
https://doaj.org/article/fa36923c62434d5788676f5d6a336348
Publikováno v:
IEEE Access, Vol 9, Pp 40915-40932 (2021)
This study deals with fault tree analysis algorithms based on an ontology-based approach in a fuzzy environment. We extend fuzzy fault tree analysis by embedding ontology-based fault tree structures. The ontology-based approach allows conducting adva
Externí odkaz:
https://doaj.org/article/a9b3f65dc7cc4e25870061641344b090
Autor:
Bekir Sahin, Ahmet Soylu
Publikováno v:
IEEE Access, Vol 8, Pp 144993-145005 (2020)
This study aims to develop a multi-layer, multi-segment iterative optimization algorithm for the operations of a single agent, which can be either a container in a distribution system, an automated guided vessel in a transport network or a vessel in
Externí odkaz:
https://doaj.org/article/154f470aa57d43b09a8a5039c14d360a
Publikováno v:
Diagnostics, Vol 13, Iss 4, p 651 (2023)
Brain tumors have been the subject of research for many years. Brain tumors are typically classified into two main groups: benign and malignant tumors. The most common tumor type among malignant brain tumors is known as glioma. In the diagnosis of gl
Externí odkaz:
https://doaj.org/article/61bc90a854d941059fb7e164a760d6ad
Autor:
Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Dumitru Roman, Bekir Sahin, Christoph Bussler, Ahmet Soylu
Publikováno v:
Sensors, Vol 23, Iss 2, p 564 (2023)
Big data pipelines are developed to process data characterized by one or more of the three big data features, commonly known as the three Vs (volume, velocity, and variety), through a series of steps (e.g., extract, transform, and move), making the g
Externí odkaz:
https://doaj.org/article/5d347bb465c046c48debd0354a03d9da
Publikováno v:
Theory and Practice of Logic Programming. 23:503-506