Bilge, Ayşe Hümeyra
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Bilge A.
BILGE, Ayşe Hümeyra
Bilge, AYŞE HÜMEYRA
Bilge, Ayse Humeyra
AYŞE HÜMEYRA BILGE
A. Bilge
Bilge,Ayse Humeyra
Ayşe Hümeyra Bilge
Bilge,A.H.
BILGE, AYŞE HÜMEYRA
Kupeli A.
B., Ayşe Hümeyra
Bilge, Ayşe Hümeyra
B.,Ayse Humeyra
Bilge, A. H.
Ayse Humeyra, Bilge
A. H. Bilge
B., Ayse Humeyra
Bilge, A.
Ayşe Hümeyra BILGE
Hümeyra Bilge, Ayşe
Bilge, Ayşe Humeyra
Bilge, Ayşe
Bilge, Ayşe Hümeyra
Bilge, Ayşe Hümeyra
Bilge, Ayşe Hümeyra
BILGE, Ayşe Hümeyra
Bilge, AYŞE HÜMEYRA
Bilge, Ayse Humeyra
AYŞE HÜMEYRA BILGE
A. Bilge
Bilge,Ayse Humeyra
Ayşe Hümeyra Bilge
Bilge,A.H.
BILGE, AYŞE HÜMEYRA
Kupeli A.
B., Ayşe Hümeyra
Bilge, Ayşe Hümeyra
B.,Ayse Humeyra
Bilge, A. H.
Ayse Humeyra, Bilge
A. H. Bilge
B., Ayse Humeyra
Bilge, A.
Ayşe Hümeyra BILGE
Hümeyra Bilge, Ayşe
Bilge, Ayşe Humeyra
Bilge, Ayşe
Bilge, Ayşe Hümeyra
Bilge, Ayşe Hümeyra
Bilge, Ayşe Hümeyra
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Prof. Dr.
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Industrial Engineering
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Sustainable Development Goals
3
GOOD HEALTH AND WELL-BEING
20
Research Products
6
CLEAN WATER AND SANITATION
1
Research Products
7
AFFORDABLE AND CLEAN ENERGY
2
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
1
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
3
Research Products
17
PARTNERSHIPS FOR THE GOALS
1
Research Products
Documents
80
Citations
547
h-index
12
Documents
68
Citations
444
Scholarly Output
61
Articles
41
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349/6058
Supervised MSc Theses
12
Supervised PhD Theses
1
WoS Citation Count
281
Scopus Citation Count
358
WoS h-index
9
Scopus h-index
10
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0
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0
WoS Citations per Publication
4.61
Scopus Citations per Publication
5.87
Open Access Source
45
Supervised Theses
13
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| Journal | Count |
|---|---|
| Journal of Physics: Conference Series | 5 |
| International Journal of Energy Economics and Policy | 3 |
| Energy Strategy Reviews | 2 |
| Modern Physics Letters B | 2 |
| Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (Online) | 2 |
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Now showing 1 - 10 of 61
Editorial Editorial: Compartmental Models for Social Interactions(Frontiers Media Sa, 2024) Bilge, Ayse Humeyra; Peker-Dobie, Ayse; Severin, Irina; Piqueira, Jose Roberto Castilho; Bellingeri, Michele; Prodanov, Dimiter[No Abstract Available]Master Thesis Bankacılık Hisse Senetleri Üzerine Endekse Dayalı Bir Alım Satım Stratejisi Önerisi(Kadir Has Üniversitesi, 2017) Yeniay, Ozan; Bilge, Ayşe HümeyraBatıda uzun zamandır uygulanan, Türkiye'de yeni yeni uygulanmaya başlayan ve her geçen yıl önemini artıran algoritmik alım satım yöntemi yatırımcılara büyük avantajlar sağlamaktadır. Algoritmik alım satım yöntemleri sayesinde küçük yatırımcılar dahi koruma amaçlı fon ( Hedge Fon ) yatırım bankaları ve profesyonel yatırımcılar tarafından uygulanan alım satım tekniklerini uygulayabilmekte ve geriye dönük testlerini yapabilmektedir. Bu tezin amacı algoritmik alım satım teknikleri yardımıyla, eş işlem stratejisine (Pairs Trading) alternatif bir model geliştirilerek, bu modele istinaden yapılabilecek alım satım işlemlerinin performansın incelemektir. Oluşturulan model Borsa İstanbul bünyesinde hesaplanan bankacılık endeksinde yer alan, bankacılık hisselerinde test edilmiştir. Araştırmada, endeksin kendi saatlik volatilitesinin üzerinde bir hareket yapması beklenmiş ve bu hareketin ardından hisse senetlerinin de hareketi takip etmesi gerektiği varsayımı üzerinden iki ana alım stratejisi oluşturularak bu stratejilerin geriye dönük test ve optimizasyonları yapılmıştır. Seçilen hisse senetlerinin endeks ile korelasyonunun yüksek olması dikkate alınmıştır. Hisse senetleri ve endekslerin korelasyonları ve volatiliteleri Matlab programı vasıtasıyla hesaplanmış ve geriye dönük testler Matriks programının "system tester" modülü kullanılarak gerçekleştirilmiştir. Araştırma Türkiye'de siyasi ve ekonomik risklerin arttığı 2013 yılı sonrasını kapsamaktadır ve bu süreçte dahi, geliştirilen stratejiler sayesinde al tut stratejisi ve piyasa faiz oranının üzerinde getiriler elde edilmiştir.Article Citation - WoS: 44Citation - Scopus: 51Hourly Electricity Demand Forecasting Using Fourier Analysis With Feedback(Elsevıer, 2020) Yükseltan, Ergün; Yücekaya, Ahmet; Bilge, Ayşe HumeyraWhether it be long-term, like year-ahead, or short-term, such as hour-ahead or day-ahead, forecasting of electricity demand is crucial for the success of deregulated electricity markets. The stochastic nature of the demand for electricity, along with parameters such as temperature, humidity, and work habits, eventually causes deviations from expected demand. In this paper, we propose a feedback-based forecasting methodology in which the hourly prediction by a Fourier series expansion is updated by using the error at the current hour for the forecast at the next hour. The proposed methodology is applied to the Turkish power market for the period 2012-2017 and provides a powerful tool to forecasts the demand in hourly, daily and yearly horizons using only the past demand data. The hourly forecasting errors in the demand, in the Mean Absolute Percentage Error (MAPE) norm, are 0.87% in hour-ahead, 2.90% in day-ahead, and 3.54% in year-ahead horizons, respectively. An autoregressive (AR) model is also applied to the predictions by the Fourier series expansion to obtain slightly better results. As predictions are updated on an hourly basis using the already realized data for the current hour, the model can be considered as reliable and practical in circumstances needed to make bidding and dispatching decisions.Article Citation - WoS: 4Citation - Scopus: 11A Susceptible-Infectious (si) Model With Two Infective Stages and an Endemic Equilibrium(Elsevier, 2022) Ahmetolan, Semra; Demirci, Ali; Bilge, Ayse Humeyra; Dobie, Ayse PekerThe focus of this article is on the dynamics of a susceptible-infected model which consists of a susceptible group (S) and two different infectious groups (I-1 and I-2). Once infected, an individual becomes a member of one of these infectious groups which have different clinical forms of infection. In addition, during the progress of the illness, an infected individual in group I-1 may pass to the infectious group I-2 which has a higher mortality rate. The infection is deadly and it has no cure. In this study, positiveness of the solutions for the model is proved. Stability analysis of species extinction, I-1-free equilibrium and endemic equilibrium as well as disease-free equilibrium is studied, and it is shown that the disease-free equilibrium is stable whereas all other equilibrium points are asymptotically stable for parameter ranges determined by certain inequalities. In addition, relations between the basic reproduction number of the disease and the basic reproduction number of each infectious stage are examined. Furthermore, the case where all newborns from infected mothers are also infected is analysed. For this type of vertical transmission, endemic equilibrium is asymptotically stable for certain parameter ranges. Finally, a special case which refers to the disease without vital dynamics is investigated and its exact solution is obtained. (c) 2021 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.Article Citation - WoS: 2Citation - Scopus: 2Determination of Epidemic Parameters From Early Phase Fatality Data: a Case Study of the 2009 A(h1n1) Pandemic in Europe(World Scientific Publ Co Pte Ltd, 2018) Bilge, Ayşe Hümeyra; Samanlıoğlu, FundaThis paper demonstrates that the susceptible-infected-removed (SIR) model applied to the early phase of an epidemic can be used to determine epidemic parameters reliably. As a case study the SIR model is applied to the fatality data of the 2009 fall wave cycle of the A(H1N1) pandemic in 12 European countries. It is observed that the best estimates of the basic reproduction number R-0 and the mean duration of the infection period 1/eta lie on a curve in the scatterplots indicating the existence of a nearly-invariant quantity which corresponds to the duration of the epidemic. Spline interpolation applied to the early phase of the epidemic an approximately 10-week period together with a future control point in the stabilization region is sufficient to estimate model parameters. The SIR model is run over a wide range of parameters and estimates of R0 in the range 1.2-2.0 match the values in the literature. The duration of the infection period 1/eta is estimated to be in the range 2.0-7.0 days. Longer infection periods are tied to spatial characteristics of the spread of the epidemic.Article The Impact of Dynamic Shocks and Special Days on Time Series Data(2023) Gökdağ, Zehra Hafızoğlu; Bilge, Ayşe HümeyraThis paper includes an examination of a 4-year time series data on retail delivery demand generated by a logistics company based on the dates of creation. The periodic fluctuations observed in the data's normal structure are caused by the accumulation of demands over the weekend and their fulfillment at the beginning of the week. The aim of the study is modelling the response to unexpected changes in demand, which we refer to as "shocks," similar to the weekend effect. Special days, including single-day public holidays, religious holidays, and campaign periods in November, which represent specific periods, were also analyzed to interpret the patterns during these periods. The patterns created by single-day public holidays and religious holidays are significantly influenced by whether these days fall on a weekend or a weekday. By excluding weeks with special days from the overall data, the presence of shock effects in the remaining ordinary weeks was examined. During this period, the shock caused by the Covid-19 pandemic and adverse weather conditions was observed. The impact of the Covid-19 shock lasted longer compared to other shocks. When the increase in demand due to shocks exceeds the capacity of existing vehicles, the problem can be resolved by arranging daily rental vehicles from companies that provide vehicle allocations. Extracting the demand model for special days and unexpected shocks will ensure operational preparedness and prevent process delays. When ordinary weeks were examined, a monotonically decreasing trend from Monday to Sunday was observed based on the weekly average demand. The maximum demand was 58.3% on Monday, 17.2% on Tuesday, 15.9% on Wednesday, 7.3% on Thursday and 1.3% on Friday. The provided graphs also demonstrate a significant increase in demands in early 2020 due to the widespread adoption of e-commerce as a result of the Covid-19 pandemicMaster Thesis Ayvansaray mahallesinin tarihsel cevre analizi(Kadir Has Üniversitesi, 2018) Kaplan, Furkan; Bilge, Ayşe HümeyraPortfoy sigortasi yatirimcilari piyasa dususlerinden korumak ve piyasa yukselislerinde portfoyun degerini artirmak icin dunya capinda kullanilan bir stratejidir. Sabit oranli portfoy sigortasi da bu konu basligi altina bulunan yontemlerden bir tanesidir. Sabit oranli portfoy sigortasi portfoyunde riskli ve risksiz varlik bulundurup dinamik bir sekilde denge tutmaktadir. Portfoy sigortasi kullanilan donem basinda kararlastirilan taban degeri koruma sozu vermektedir. Bu dengeyi sabit carpan ve koruma orani gibi stratejide kullanilan parametreler yardimi ile yapmaktadir. Bu calismada da yuksek getiri amaclayan bir riskli portfoy olusturulup piyasa kosullarina gore revize edilen bir sabit carpan ile donem sonunda toplam portfoy buyuklugunu maksimize etmek amaclanmistir. Portfoyde bulunan riskli varligi olustururken BÝST-30’da bulunan hisse senetleri kullanilip bu hisse senetlerinin BÝST-30 ile olan korelasyonlari bakilarak secim yapilmistir. Ayrica hisselerin portfoydeki agirliklari Markowitz Teoremi yardimiyla hesaplanmistir. Riskli varlik portfoyunun getirisini maksimum duzeye tasimak amaci ile sabit carpan piyasa yukselislerinde artirilmis dususlerinde ise azaltilmistir. Bu duzenleme islemi Finansal Varliklari Fiyatlama Modeli’nde bulunan beklenen getiri hesaplanarak isleme dahil olmustur. Bu calismada iki ana uygulama mevcut olup bu uygulamalarinda kendi icinde sabit carpan degisimi yapilmis ve yapilmamis versiyonlari kiyaslanmaktadir. Uygulamada 02.01.2008-16.02.2018 tarihleri arasindaki veriler baz alinmis olup tezin amaci olarak calistirilan stratejinin taban degerin asimi donem sonu portfoy buyuklugu ve BÝST-30 endeksi ile farklari incelenmistir.Article Dynamics of Feline Coronavirus and Fip: a Compartmental Modeling Approach(Hindawi Ltd, 2023) Dobie, Ayse Peker; Bayrakal, Alper; Or, Mehmet Erman; Bilge, Ayse HumeyraThe investigation of infectious agents invading human and nonhuman populations represents a rich research domain within the framework of mathematical biology, captivating the interest of scientists across various disciplines. In this work, we examine the endemic equilibrium of feline coronavirus and feline infectious peritonitis by using a modified susceptible-infected-susceptible epidemiological model. We incorporate the concept of mutations from FCoV to FIP to enrich our analysis. We establish that the model, when subjected to reasonable parameter ranges, supports an endemic equilibrium wherein the FCoV group dominates. To demonstrate the stability of the equilibria under typical parameters and initial conditions, we employ the model SCF presented by Dobie in 2022 (Dobie, 2022). We ascertain that the equilibrium values reside within the interior domains of stability. Additionally, we displayed perturbed solutions to enhance our understanding. Remarkably, our findings align qualitatively with existing literature, which reports the prevalence of seropositivity to FCoV among stray cats (Tekelioglu et al. 2015, Oguzoglu et al. 2010, Pratelli 2008, Arshad et al. 2004).Article Citation - WoS: 1Citation - Scopus: 1The Critical Point of a Sigmoidal Curve(Babeș-Bolyai University, 2020) Bilge, Ayşe Hümeyra; Özdemir, YunusLet y(t) be a monotone increasing curve with lim(t ->+/-infinity) y((n))(t) = 0 for all n and let t(n) be the location of the global extremum of the nth derivative y((n))(t). Under certain assumptions on the Fourier and Hilbert transforms of y(t), we prove that the sequence {t(n)} is convergent. This implies in particular a preferred choice of the origin of the time axis and an intrinsic definition of the even and odd components of a sigmoidal function. In the context of phase transitions, the limit point has the interpretation of the critical point of the transition as discussed in previous work [3].Article Gromov Product Structures, Quadrangle Structures and Split Metric Spaces(Elsevier B.V., 2021) Bilge, Ayşe Hümeyra; Çelik, Derya; Koçak, Şahin; Rezaeinazhad, Arash MohammadianLet (X,d) be a finite metric space with elements Pi, i=1,…,n and with distances dij≔d(Pi,Pj) for i,j=1,…,n. The “Gromov product” Δijk, is defined as [Formula presented]. (X,d) is called Δ-generic, if, for each fixed i, the set of Gromov products Δijk has a unique smallest element, Δijiki. The Gromov product structure on a Δ-generic finite metric space (X,d) is the map that assigns the edge Ejiki to Pi. A finite metric space is called “quadrangle generic”, if for all 4-point subsets {Pi,Pj,Pk,Pl}, the set {dij+dkl,dik+djl,dil+djk} has a unique maximal element. The “quadrangle structure” on a quadrangle generic finite metric space (X,d) is defined as a map that assigns to each 4-point subset of X the pair of edges corresponding to the maximal element of the sums of distances. Two metric spaces (X,d) and (X,d′) are said to be Δ-equivalent (Q-equivalent), if the corresponding Gromov product (quadrangle) structures are the same up to a permutation of X. We show that Gromov product classification is coarser than the metric fan classification. Furthermore it is proved that: (i) The isolation index of the 1-split metric δi is equal to the minimal Gromov product at the vertex Pi. (ii) For a quadrangle generic (X,d), the isolation index of the 2-split metric δij is nonzero if and only if the edge Eij is a side in every quadrangle whose set of vertices includes Pi and Pj. (iii) For a quadrangle generic (X,d), the isolation index of an m-split metric δi1…im is nonzero if and only if any edge Eikil is a side in every quadrangle whose vertex set contains Pik and Pil. These results are applied to construct a totally split decomposable metric for n=6.
