Ünözkan, Hüseyin

Profile URL
https://hdl.handle.net/20.500.14627/514
Name Variants
Unozkan, Huseyın Unozkan, Huseyin
Job Title
Doçent
Email Address
huseyin.unozkan@fbu.edu.tr
Main Affiliation
Endüstri Mühendisliği Bölümü
Status
Former Staff
Website
ORCID ID
0000-0001-9659-287X
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
fhRlGj8AAAAJ
WoS Researcher ID
ABF-8486-2021
Files
photo_371072.jpg.JPG (5.35 MB)

Research Topics

Domains
Physical SciencesSocial Sciences
Fields
MathematicsDecision SciencesComputer ScienceBusiness, Management and AccountingEngineering
Subfields
Statistics and ProbabilityStatistics, Probability and UncertaintyArtificial IntelligenceGeometry and TopologyManagement Information SystemsSafety, Risk, Reliability and Quality
Specific Research Areas
Statistical Distribution Estimation and Applications
Probabilistic and Robust Engineering Design
Statistical Methods and Bayesian Inference
Bayesian Methods and Mixture Models
Mathematics and Applications
Supply Chain and Inventory Management
Reliability and Maintenance Optimization

Sustainable Development Goals

SDG data is not available

Publication Collaboration

Affiliation Name Count
Ankara University 9
Haliç University 9
Ankara Hacı Bayram Veli University 2
Fenerbahçe University 2
Coventry University 2
1 / 3
Data obtained from OpenAlex
Scholarly Output

2

Articles

1

WoS Citation Count

0

Scopus Citation Count

0

Filters

20252

Settings

Author of Publication: search.filters.isAuthorOfPublication.f75465c2-99dc-4111-b58e-5fbbab42f57c

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Article
    Evaluation of Production Line Modelling in Qualified Cardboard Production with Reliability Analysis
    (2025) Guleryuz, Aykut; Unozkan, Huseyın; Yılmaz, Mehmet
    Amaç: Üretim hatlarının uzun vadeli üretim beklentisini hesaplamak için yeni bir model geliştirmek ve bu modelin üretim planlama ve kontrolünde nasıl kullanılabileceğini göstermektir. Yöntem: Üretim hattında mekanik birimlerin değerlendirilmesi ve performans ölçümü üzerine odaklanarak iyileştirme çabalarını ölçmek için gerçek veri setlerinden yararlanarak geçiş olasılıklarının hesaplanması ve uzun vadeli üretim kapasitesinin belirlenmesini içermektedir. Bu hesaplamalar, Markov Zinciri ve güvenilirlik analizi gibi yöntemler kullanılarak yapılmaktadır. Bulgular: Altı üretim hattına sahip bir işletme için uzun vadeli bir üretim beklentisini yüksek doğruluk oranı ile kestirebilmektedir. Özgünlük: Çalışmada önerilen modelin ve metodun, düzenli verinin tutulduğu herhangi bir üretim hattı problemini etkili bir şekilde çözebileceği düşünülmektedir.
  • Conference Object
    A Unique Web 3 Product-NFT Usage in Healthcare
    (IEEE, 2025) Unozkan, Huseyin
    Non-fungible tokens (NFTs) have gained immense popularity and value in recent years. After the Web 3 revolution, many new products have been constructed based on smart contracts or powerful software agreements. One of the most exciting products of Web 3 is NFT, with their increasing popularity, high volatility, and significant price movements making them popular in trading activities. Although many people, investors and researchers perceive NFTs as a trading product, the smart contract and metadata, both of which make up of NFT structure, offer valuable support for the big data storage and processing fields. In recent years, researchers have proposed different uses of NFTs in healthcare systems to improve the quality of services by using NFTs' versatile data storage architecture. In this study, the capability of NFTs in the storage of health data is investigated, the usage and usage proposals of NFTs in health are examined, and probable usage areas in health sciences are evaluated. The uniqueness of this study is, using NFTs as the dead parental data storage in which the metadata does not need to be mitigated, but the stored data is very valuable for doctors to assess the genetic illnesses comes from parental DNAs.