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Comparison of NR and UniClust databases for protein secondary structure prediction [Protein Ikincil Yapi Tahmini için NR ve UniClust Veri Tabanlarinin Karsilastirilmasi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
Three-dimensional structure prediction is one of the important problems in bioinformatics and theoretical chemistry. One of the most important steps in the three-dimensional structure prediction is the estimation of secondary ...
Comparison of machine learning classifiers for protein secondary structure prediction [Protein ikincil yapi tahmini için makine ö?renmesi yöntemlerinin karşilaştirilmasi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
Three-dimensional structure prediction is one of the important problems in bioinformatics and theoretical chemistry. One of the most important steps in the three-dimensional structure prediction is the estimation of secondary ...
Investigation of urban growth effects on forest area by creating different simulation scenarios
(International Society for Photogrammetry and Remote Sensing, 2018)
It is necessary to keep urban growth under control according to the understanding of sustainable urban management in rapidly growing cities. In other words, sustainable urban management requires estimating how the land ...
The Identification of Discriminative Single Nucleotide Polymorphism Sets for the Classification of Behçet's Disease
(Institute of Electrical and Electronics Engineers Inc., 2018)
Behçet's disease is a long-term multisystem inflammatory disorder, characterized by recurrent attacks affecting several organs. As the genotyping individuals get cheaper and easier following the developments in genomic ...
Breakthrough detection for orthopedic bone drilling via power spectral density estimation of acoustic emission
(Institute of Electrical and Electronics Engineers Inc., 2018)
Breakthrough detection of robotic drilling process for orthopedic surgery is proposed. Features are extracted from Power Spectral Density (PSD) with Welch methods from acoustic emission signal during the drilling operation. ...
High Performance Decoding of Behavioral Information from Background Activity in Extracellular Neural Recordings [Davranişla İlgili Bilgilerin Hücre Dişi Sinirsel Kayitlarda Arka Plan Etkinli?inden Yüksek Başarimli Çikarimi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
The usual approach to extracting information from extracellular neural recordings is to set an amplitude threshold and extract the information contained in suprathreshold data. Subthreshold data, on the other hand, contain ...
Comparison of truncation thresholds with four different robust scale estimators [Kirpma Esikleri'nin Dört Farkli Gürbüz Ölçek Kestirimci ile Kiyaslanmasi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
Spike detection in extracellular neural recordings is performed using amplitude thresholding. The threshold is set to 3 to 5 times the estimated standard deviation of the noise in the filtered recording. Robust median ...
Examination of success of the finite impulse response digital filter designed using the bat algorithm [Yarasa algoritmasinin sonlu dürtü tepkili sayisal süzgeç tasarimindaki başariminin incelenmesi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
This paper represents, a new heuristic algorithm, bat algorithm, is used to optimize filter coefficients in the design of low pass finite impulse response (FIR) digital filter. The FIR digital filters have a wide range of ...
A comparative study on the estimation of noise standard deviation using DATE and truncation thresholds [Gürültü Standart Sapmasinin DATE ve Kirpma Esikleri ile Kestirimi Üzerine Karsilastirmali bir Çalisma]
(Institute of Electrical and Electronics Engineers Inc., 2018)
D-dimensional amplitude trimmed estimator (DATE) is used for estimating the noise standard deviation in data that can be modelled as a signal in additive white Gaussian noise. Truncation thresholds are a pair of amplitude ...