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Toplam kayıt 11, listelenen: 1-10
Electricity Load Forecasting Using Deep Learning and Novel Hybrid Models
(Sakarya University, 2022)
Load forecasting is an essential task which is executed by electricity retail companies. By
predicting the demand accurately, companies can prevent waste of resources and blackouts.
Load forecasting directly affect the ...
A high order proximity measure for linear network embedding
(Niğde Ömer Halisdemir Üniversitesi, 2022)
Graph representationion learning (network embedding) is at
the heart of network analytics techniques to reveal and
examine the complex dependencies among nodes. Owing its
importance, many computational methods have ...
HOW AND WHEN CUSTOMER ENGAGEMENT UNDERLIES THE LINK BETWEEN FAMILY OWNERSHIP AND FIRM PERFORMANCE: A CONCEPTUAL FRAMEWORK
(Çukurova Üniversitesi, 2022)
With the rapid proliferation of social media, two-way interactions between customers and
firms are increased in the past decade. This interactive communication helps firms
increase customer engagement. For this reason, ...
Complementary medicines used in ulcerative colitis and unintended interactions with cytochrome P450-dependent drug-metabolizing enzymes
(TUBİTAK, 2022)
Ulcerative colitis (UC) is an idiopathic, chronic inflammatory disease with multiple genetic and a variety of environmental risk
factors. Although current drugs significantly aid in controlling the disease, many people ...
COMPARATIVE PERFORMANCE ANALYSIS OF ARIMA, PROPHET AND HOLT-WINTERS FORECASTING METHODS ON EUROPEAN COVID-19 DATA
(Kerim ÇETİNKAYA, 2022)
COVID-19 is the most common infectious disease of the last few years and has caused an outbreak all
around the world. The mortality rate, which was earlier in the hundreds, increased to thousands and then
to millions. ...
Lyapunov Exponent Enhancement in Chaotic Maps with Uniform Distribution Modulo One Transformation
(CHAOS Theory and Applications, 2022)
Most of the chaotic maps are not suitable for chaos-based cryptosystems due to their narrow chaotic parameter range and lacking of strong unpredictability. This work presents a nonlinear transformation approach for Lyapunov ...
Enlightening the molecular mechanisms of type 2 diabetes with a novel pathway clustering and pathway subnetwork approach
(TUBITAK, 2022)
Type 2 diabetes mellitus (T2D) constitutes 90% of the diabetes cases, and it is a complex multifactorial disease. In the last decade, genome-wide association studies (GWASs) for T2D successfully pinpointed the genetic ...
Çelişik Duygulu Cinsiyetçilik Ölçeğinin (ÇDCÖ) Yeniden Gözden Geçirilmesi: Korumacı Cinsiyetçiliğin Yapı Geçerliliği ve ÇDCÖ'nün Ölçüm Değişmezliği
(İstanbul Üniversitesi, 2022)
inançları içerdiği ve korumacı cinsiyetçiliğin korumacı ataerkillik, cinsiyetler arası
tamamlayıcı farklılaştırma ve heteroseksüel yakınlıktan oluşan ikinci sıra faktör
olduğu belirtmektedir. Kadınlara yönelik korumacı ...
Developing a label propagation approach for cancer subtype classification problem
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA 00000, TURKEY, 2022)
Cancer is a disease in which abnormal cells grow uncontrollably and invade other tissues. Several types of cancer have various
subtypes with different clinical and biological implications. Based on these differences, ...
PACLITAXEL-LOADED POLYCAPROLACTONE NANOPARTICLES FOR LUNG TUMORS; FORMULATION, COMPREHENSIVE IN VITRO CHARACTERIZATION AND RELEASE KINETIC STUDIES
(Ankara Üniversitesi, 2022)
Objective: Today, cancer is still among the most common chronic diseases. Nanoparticular drug delivery systems prepared with biocompatible and biodegradable polymers such as polycaprolactone are rational solution for ...