Başlık için listeleme
Toplam kayıt 10029, listelenen: 2280-2299
-
Desing and Test of an Incubator Analyzer
(2018)Incubators are cabins that provide the environment with necessary conditions for premature or newborn babies, and they are designed to allow monitoring and care of the baby. The incubator analyzer is the analyzer that shows ... -
Destinasyon imajı ve Trabzon yöresine dönük bir çalışma
(Başkent Üniversitesi Sosyal Bilimler Enstitüsü, 2007)Bu çalısmada temel amaç; destinasyon, imaj ve destinasyon imajı kavramlarını tanımlayarak bu kavramlarla ilgili yapılan bilimsel çalısmalar ısıgında bir bütünlük saglamak ve turizm pazarlamasında çok önemli olan ... -
Destinasyon markalaşmasında halkla ilişkiler üzerinebir araştırma:Beypazarı örneği
(Başkent Üniversitesi Sosyal Bilimler Enstitüsü, 2019)Bu çalışmada, destinasyon markalaşma süreci ve halkla ilişkiler ilişkisi Avrupa Birliği tarafından belirlenen “Yerel Ölçekte Turizm Plan-Politika Prensipleri” açısından Beypazarı destinasyonu üzerinden incelenmeye çalışılmış, ... -
Destinasyon pazarlamasında turizm tanıtım videolarının rolü: "TURKEY – HOME OF TURQUOISE" videosu örneği
(Başkent Üniversitesi Sosyal Bilimler Enstitüsü, 2020)Teknolojinin gelişmesiyle birlikte günümüzde medya araçlarının kullanımı oldukça yaygınlaşmıştır. Geçmişte yalnızca radyo ve TV gibi araçlarla sürdürülen kitle iletişimi, günümüzde İnternet ve Bilgi İletişim Teknolojilerindeki ... -
Detecting COVID-19 from Respiratory Sound Recordings with Transformers
(2022)Auscultation is an established technique in clinical assessment of symptoms for respiratory disorders. Auscultation is safe and inexpensive, but requires expertise to diagnose a disease using a stethoscope during hospital ... -
Detection of Basic Human Physical Activities With Indoor Outdoor Information Using Sigma-Based Features and Deep Learning
(2019)The devices created on account of the developments in wearable technology are increasingly becoming a part of our daily lives. In particular, sensors have enhanced the usefulness of such devices. The aim of this paper is ... -
Detection of COVID-19 by Machine Learning Using Routine Laboratory Tests
(2021)Objectives The present study aimed to develop a clinical decision support tool to assist coronavirus disease 2019 (COVID-19) diagnoses with machine learning (ML) models using routine laboratory test results. Methods We ... -
Detection of Epilepsy Disease From EEG Signals With Artificial Neural Networks
(2016)The diagnosis of the epilepsy diseases are made by physicians with analyzing the electroencephalography (EEG) records. The epilepsy diseases can be determined with observing the main properties of before and on-time seizure ... -
Detection of HPV DNA in Esophageal Lesions: a Cross-Sectional Study
(2020)Background: Several studies have documented human papillomavirus (HPV) in extra-cervical tumors. We aimed to detect HPV type 16 and HPV other than type 16 (OT-16) DNA in esophageal papilloma and esophagus squamous cell ... -
Detection of Hypopnea Using Respiratory Signals
(2019)Hypopnea is a respiratory disorder that affects people's sleep quality and reduces their standard of living. Detection and treatment of sleep disorders are costly. It requires time and effort. Because patients have to spend ... -
Detection of K-complexes in Sleep EEG With Support Vector Machines
(2017)Sleep is a state that can be characterized by the electrical oscillations of nerve cells, where brain activity is more stable than waking. Transient waveforms observed in sleep electroencephalography are structures with ... -
Detection of Microrna Clusters Associated with Prostate Cancer
(2014)MicroRNAs (miRNAs) are a class of small non-coding RNAs of 22 nucleotides which normally function as negative regulators of target mRNA expression at the posttranscriptional level. miRNAs play a role for one or more target ... -
Detection of Multiple Sclerosis Disease by EEG Coherence Analysis
(2019)Multiple sclerosis (MS) is a chronic and inflammatory disease affecting the brain and spinal cord. Although the exact cause of MS is not known, genetic, environmental and immunological factors are involved in the etiology ... -
Detection of multiple sclerosis from photic stimulation EEG signals
(2021)Background: Multiple Sclerosis (MS) is characterized as a chronic, autoimmune and inflammatory disease of the central nervous system. Early diagnosis of MS is of great importance for the treatment and course of the disease. ... -
Detection of occult neoplastic infiltration in the corpus callosum and prediction of overall survival in patients with glioblastoma using diffusion tensor imaging
(2019)Objective: Corpus callosum (CC) involvement is a poor prognostic factor in patients with glioblastoma (GBM). The purpose of this study was to determine whether diffusion tensor imaging (DTI) can quantify occult tumor ... -
Detection of Resistance to Pyrethroid And Neonicotinoid Insecticides in the Greenhouse Whitefly, Trialeurodes Vaporariorum (Westw.) (Hemiptera: Aleyrodidae)
(2021)In Turkey as elsewhere, control of the greenhouse whitefly, Trialeurodes vaporariorum (Westw.) (Hemiptera: Aleyrodidae), relies extensively on the use of insecticides, which can promote the development of insecticide ... -
Detections on Ottoman Armenians Enlightened by German Documents (1915-1918)
(2017)Most of the current available local and foreign studies conducted regarding the Armenians who lived in Ottoman lands have dealt with the 1915 Relocation, reflecting the Turkish or Armenian point of view known in this ...
