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Toplam kayıt 5384, listelenen: 1019-1038
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Detecting and Classifying Dominant Crowd Movements through Particle Advection
(IEEE, 2016)Today, trying to understand what kind of behaviour the crowd shows by studying the data from surveillance systems is an important topic for researchers of computer vision. The aim of this study make the motion data that ... -
Detecting and Removing Repetitive Errors from PPP Time Series by Means of Adaptive Filter
(IEEE, 2017)PPP (Precise Point Positioning) is a relatively new GNSS (Global Navigation Satellite System) method that enables position determinations using a single receiver. Being able to survey with a single receiver makes this ... -
Detecting Cardiac Arrhythmia by Using Time Differences of Double Wavelength PPG Peaks
(IEEE, 2018)Nowadays, photopletismogram (PPG) signals are used in respiration and blood pressure measurement, monitoring of the sleep pattern and also detecting of mental disorders, mainly blood oxygen saturation and heartrate ... -
Detecting interaction/complexity within crowd movements using braid entropy
(Zhejiang Univ, 2019)The segmentation of moving and non-moving regions in an image within the field of crowd analysis is a crucial process in terms of understanding crowd behavior. In many studies, similar movements were segmented according ... -
Detection of 2D and 3D Video Transitions Based on EEG Power
(OXFORD UNIV PRESS, 2022)Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations ... -
Detection of 2D and 3D Video Transitions Based on EEG Power
(OXFORD UNIV PRESS, 2022)Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations ... -
Detection of 2D and 3D Video Transitions Based on EEG Power
(Oxford University Press, 2022)Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations ... -
Detection of autoantibodies against carbonic anhydrase I and II in the plasma of patients with gastric cancer
(Termedia Publishing House Ltd, 2017)Cancer is the second leading cause of death and gastric cancer is the fourth most common cancer type worldwide. Investigation of autoantibodies in cancer patients has been a popular research area in recent years. The aim ... -
Detection of class 1 integron in Acinetobacter baumannii isolates collected from nine hospitals in Turkey
(2013)Objective: To investigate the antibiotic resistance genes inserted into class 1 and class 2 integrons in Acinetobacter baumannii (A. baumannii) isolates obtained from nine different cities in Turkey. Methods: A collection ... -
Detection of Copy-Move Forgery Using DoGCode
(IEEE, 2015)Copy-move forgery is performed as a part of an image is copied and moved to another region within the same image. For the detection of this type of forgery, usually, feature vectors of the image are created by dividing the ... -
Detection of damaged buildings after an earthquake with convolutional neural networks in conjunction with image segmentation
(Springer, 2021)Detecting damaged buildings after an earthquake as quickly as possible is important for emergency teams to reach these buildings and save the lives of many people. Today, damaged buildings after the earthquake are carried ... -
DETECTION OF FOOT BONE ANOMALY USING MEDICAL PHOTOGRAMMETRY
(2018)Photogrammetry has been used for medical diagnostic and treatment. Mostly used medical photogrammetric techniques are Ultrasound, Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) images. CT and MRI are the ... -
Detection of forest fire using deep convolutional neural networks with transfer learning approach[Formula presented
(Elsevier Ltd, 2023)Forest fires caused by natural causes such as climate change, temperature increase, lightning strikes, volcanic activity or human effects are among the world's most dangerous, deadly, and destructive disasters. Detection, ... -
Detection of permeability in irrigation dams with the electrical resistivity methods
(European Association of Geoscientists and Engineers, EAGE, 2016)It was aimed to identify the permeability of the dam area by collecting the information of 15 boreholes with 450 m depth in totally previously made along the dam axis line and the electric resistivity measurements along ... -
Detection of pneumonia from pediatric chest X-ray images by transfer learning
(YILDIZ TECHNICAL UNIV, 2024)When pathogens such as viruses, bacteria and fungi attack the lungs, the alveoli fill with inflamed fluid, causing pneumonia. Early diagnosis of this disease, which has fatal outcomes especially in children under 5 years ... -
DETECTION OF THE COMPLEX GROUND PROBLEMS BY GROUND PENETRATING RADAR: EXAMPLES FROM GUMUSHANE UNIVERSITY
(Yildiz Technical Univ, 2018)In this study, Ground Penetrating Radar (GPR) technique was used for the detection of i) the reasons of deformations which occur in the field ground of Gumushane University Sport Complex (GUSC), and ii) the congestion in ... -
Detection of the complex ground problems by Ground Penetrating Radar: Examples from Gümüşhane University
(Sigma Journal of Engineering and Natural Sciences, 2018)[Abstract Not Available] -
Detection of virulence factor genes, antibiotic resistance genes and biofilm formation in clinical Gram-negative bacteria and first report from Türkiye of K.oxytoca carrying both bla OXA-23 and bla OXA-51 genes
(Springer Science and Business Media, 2023)The Gram-negative bacteria were isolated from various samples and antibiotic susceptibility testing were performed. The strains were screened by PCR for class 1 integron, virulence and antibiotic resistance genes. blaOXA-23 ... -
THE DETERMINANTS OF ECONOMIC FRAGILITY: CASE OF THE FRAGILE FIVE COUNTRIES
(2015)Bu çalışma; kamu mali sürdürülebilirlik ve ülke kredi notları kapsamında ekonomik kırılganlığın uzun dönem belirleyicilerini, Morgan Stanley (2013) raporunda ”kırılgan beşli” olarak nitelediği Brezilya, Hindistan, Endonezya, ... -
The Determinants of Immigrants' Skill Composition
(MDPI, 2022)Movements of labor across the world is an ongoing debate in the literature in terms of its drivers and results in sending and receiving areas. Skill composition of immigrant labor has been discussed by several papers, ...