A5051215098- Statistical Distribution Estimation and Applications
- Reliability and Maintenance Optimization
- Advanced Statistical Process Monitoring
- Probability and Risk Models
- Software Reliability and Analysis Research
- Cancer Genomics and Diagnostics
- Probabilistic and Robust Engineering Design
- Cancer, Lipids, and Metabolism
- Bayesian Methods and Mixture Models
- Flood Risk Assessment and Management
- Inflammatory Biomarkers in Disease Prognosis
- Stochastic processes and statistical mechanics
- Blind Source Separation Techniques
- Power System Reliability and Maintenance
- Supply Chain and Inventory Management
- Gastric Cancer Management and Outcomes
- Algorithms and Data Compression
- Remote Sensing and LiDAR Applications
- Liver Diseases and Immunity
- Economic and Financial Impacts of Cancer
- Neural Networks and Applications
- Topic Modeling
- Financial Risk and Volatility Modeling
- COVID-19 diagnosis using AI
- Advanced Data and IoT Technologies
Izmir Kâtip Çelebi University
2016-2025
Karadeniz Technical University
2024
Dokuz Eylül University
2021
University of Piraeus
2016
İzmir University of Economics
2009-2014
Start-up demonstration testing is an effective method for illustrating the reliability of a unit before purchasing it. The test consists starting-up unit, and observing outcomes, either success or failure. According to total successes failures (TSTF) procedure, under accepted when specified number observed failures; otherwise, rejected. We study TSTF procedure dependent start-ups where outcome present start-up depends on successful so far. main characteristics are obtained this previous-sum...
Aim. Lung adenocarcinoma is characterized by poor prognosis and short survival rates. Therefore, tools to identify the tumoural molecular structure guide effective diagnosis therapy decisions are essential. Surgical biopsies highly invasive not conducive for patient follow-up. To better understand disease prognosis, novel non-invasive analytic methods needed. The aim of present study genetic mutations in formalin-fixed paraffin-embedded (FFPE) tissue, plasma, exhaled breath condensate (EBC)...
Flood events, which are considered as natural disasters, cause significant loss of life and property throughout the world. In order to be fully prepared for flood, is a disaster meteorological origin, it necessary create flood risk susceptibility maps. susceptibilities values determined by considering different criteria that may flooding. Determining weights these also problem needs addressed. Due hierarchical structure aforementioned criteria, determining sensitivity was deemed suitable...
System signature is a useful tool to analyze coherent systems. In reliability theory, large number of systems actually the composition disjoint subsystems (modules). However, in real life, there are situations which have common components. this article, we consider problem obtaining signatures as well minimal series and parallel that composed sharing component. That is, these no longer disjoint. Computational results also presented illustrate our findings.
Abstract In this paper, a generalized class of run shock models associated with bivariate sequence {(X i , Y )} i≥1 correlated random variables is defined and studied. For system that subject to shocks magnitudes X 1 2 ... over time, let the denote times between arrivals successive shocks. The lifetime under through compound variable T = ∑ N t=1 t where stopping time for {X } i≤1 represents number causes failure system. Another interest maximum size up N, i.e. M max 1≤i≤ N}. Distributions...
Component importance measures are widely used in engineering and reliability analysis testing the safety of running systems. There several component to realize which components a coherent system play more important role than others. The most common ones belong Birnbaum Barlow & Proschan. In this paper new method, based on number path sets with exactly i working such that at sth place functions, has been proposed evaluate these two for all types systems appearing literature.
We aimed to reveal the prognostic value of inflammatory-nutritional score (INPS), a new scoring system using immune-nutritional markers, in breast cancer with NACT. Patients who were treated Dokuz Eylul University Department Medical Oncology and diagnosed NACT included this study retrospectively.We selected most valuable biomarkers (Alb, Alb/ALP Ratio (AAR), ALBI, CRP, CRP/Alb Ratio,HALP, LDH, MLR, NLR, PLR, PNI, SII) develop INPS by least absolute shrinkage selection operator (LASSO) Cox...
e16092 Background: We aimed to reveal the prognostic value of inflammatory-nutritional score (INPS), which is a new scoring system created by using frequently used immune-nutritional markers, as biomarker, on nutrition and immune status in patients with locally advanced GEJ gastric cancer. Methods: Patients who were treated Dokuz Eylul University Medical Oncology Department between 2010-2022 years diagnosed cancer receiving NACT included this study retrospectively. selected most valuable...
Günümüzde dağıtık sistemler ve büyük veri, merkeziyetçi makine öğrenmesi/derin öğrenme modellerinde zaman donanım maliyeti gibi engellere sebebiyet vermektedir. Bu sebeple sistemlerde çalışan yazılımların veya Nesnelerin İnterneti (IoT) cihazlarından toplanan verilerin tek bir merkezde model eğitimi bu verilerden sonuç elde edilmesi aynı zamanda gizlilik sorunlara da Makine öğrenmesine yönelik nispeten yeni sayılabilecek olan Federe Öğrenme (Fedeated Learning), giderek küreselleşen dünyada...