Başlık için listeleme
Toplam kayıt 10029, listelenen: 2179-2198
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Decision Analysis in Quest of the Ideal Treatment in Adult Spinal Deformity Adjusted for Minimum Clinically Important Difference
(2020)BACKGROUND: Surgery appears to yield better results in adult spinal deformity treatment when fixed minimum clinically important difference values are used to define success. Our objective was to analyze utilities and ... -
A Decision Support System for Selection of Net-Shape Primary Manufacturing Processes
(2014)Developments in the capabilities of the manufacturing processes increased the number of processes that can produce a part within the requirements determined by its design and market research. The increased number of processes ... -
Decomposition Based Extended Project Scheduling for Make-To-Order Productiona
(2021)Project scheduling has a critical function for many companies. Although there is a vast literature dedicated to the development of solution methodologies, the real-life applications of those techniques are few and often ... -
A decomposition of partitions and numerical sets
(2020)The aim of this work is to exhibit a decomposition of partitions of natural numbers and numerical sets. In particular, we obtain a decomposition of a sparse numerical set into the so called hook semigroups which turn out ... -
Decompression of Left Ventricle During Venoarterial Extracorporeal Membrane Oxygenation Support as a Step to Transplant
(2016)Objectives: Left ventricular distention can be recognized during the use of venoarterial extracorporeal membrane oxygenation as a key complication. Left ventricular decompression may decrease pulmonary pressure, minimize ... -
Decrease in middle ear resonance frequency during pregnancy
(2016)Many physiological changes occur during pregnancy The aim of the study was to reveal whether there is a change in middle ear resonance frequency during pregnancy. A prospective case-control study was designed at a tertiary ... -
A deep learning approach for sepsis monitoring via severity score estimation
(2021)Background and objective: Sepsis occurs in response to an infection in the body and can progress to a fatal stage. Detection and monitoring of sepsis require multi-step analysis, which is time-consuming, costly and requires ... -
A Deep Learning Based Approach to Detect Neurodegenerative Diseases
(2020)Studies conducted by the World Health Organization (WHO) show that more than a billion people worldwide suffer from neurological disorders and the lack of effective diagnostic procedures affects treatment. Characterizing ... -
Deep Learning Based Multi Modal Approach for Pathological Sounds Classification
(2020)Automatic detection of voice disorders is very important because it makes the diagnosis process simpler, cheaper and less time consuming. In the literature, there are many studies available on the analysis of voice disorders ... -
Deep learning for biological sequences
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2019)Nowadays, with the increase in biological knowledge, the use of deep learning in bioinformatics and computational biology has increased. Newly, deep learning is widely used to classify and analyze biological sequences. In ... -
A Deep LSTM Approach for Activity Recognition
(2019)Since 1990s, activity recognition effectual field in machine learning literature. Most of studies that relevant activity recognition, use feature extraction method to achieve higher classification performance. Moreover, ... -
Deep neural network to differentiate brain activity between patients with euthymic bipolar disorders and healthy controls during verbal fluency performance: A multichannel near-infrared spectroscopy study
(2022)In this study, we aimed to differentiate between euthymic bipolar disorder (BD) patients and healthy controls (HC) based on frontal activity measured by fNIRS that were converted to spectrograms with Convolutional Neural ... -
DeepMBS: Prediction of Protein Metal Binding-Site Using Deep Learning Networks
(2017)The tertiary structure of a protein indicates what vital function that protein fulfills in the cell. Prediction of the metal binding comformation of a protein from its sequence is a crucial step in predicting its tertiary ...
