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Toplam kayıt 11, listelenen: 1-10
A deep learning approach with Bayesian optimization and ensemble classifiers for detecting denial of service attacks
(WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2020)
Detecting malicious behavior is important for preventing security threats in a computer network. Denial of Service (DoS) is among the popular cyber attacks targeted at web sites of high-profile organizations and can ...
Multi fragment melting analysis system (MFMAS) for one-step identification of lactobacilli
(ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2020)
The accurate identification of lactobacilli is essential for the effective management of industrial practices associated with lactobacilli strains, such as the production of fermented foods or probiotic supplements. For ...
Comparison of NR and UniClust Databases for Protein Secondary Structure Prediction
(IEEE, 2018)
Proteinlerin üç boyutlu yapılarının tahmin edilmesi
teorik kimya ve biyoenformatik için önemli problemlerden
biridir. Üç boyutlu yapı tahminin en önemli aşamalarından biri
ise ikincil yapı tahminidir. İkincil yapı ...
Comparison of Machine Learning Classifiers for Protein Secondary Structure Prediction
(IEEE, 2018)
Proteinlerin üç boyutlu yapılarının tahmin edilmesi
teorik kimya ve biyoenformatik için önemli problemlerden biridir.
Protein yapı tahmininin en önemli aşamalarından biri ise ikincil
yapı tahminidir. Protein veritabanlarındaki ...
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility
(IEEE COMPUTER SOC, 2023)
Protein secondary structure, solvent accessibility and torsion angle predictions are preliminary steps to predict 3D structure of a protein. Deep learning approaches have achieved significant improvements in predicting ...
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease
(Institute of Electrical and Electronics Engineers Inc., 2021)
Behçet's Disease (BD) is a multi-system inflammatory disorder in which the etiology remains unclear. The most probable hypothesis is that genetic tendency and environmental factors play roles in the development of BD. In ...
IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction
(WILEY111 RIVER ST, HOBOKEN 07030-5774, NJ, 2021)
There is a close relationship between the tertiary structure and the function of a protein. One of the important steps to determine the tertiary structure is protein secondary structure prediction (PSSP). For this reason, ...
NSEM: Novel Stacked Ensemble Method for Sentiment Analysis
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Today, people often share their ideas, opinions and feelings through forums, social media sites, blogs and similar platforms. For this reason, access to these data has become very easy. Increase in the number of shares ...
The Identification of Discriminative Single Nucleotide Polymorphism Sets for the Classification of Behcet's Disease
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Behcet'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 ...
Dimensionality reduction for protein secondary structure and solvent accesibility prediction
(IMPERIAL COLLEGE PRESS, 57 SHELTON ST, COVENT GARDEN, LONDON WC2H 9HE, ENGLAND, 2018)
Secondary structure and solvent accessibility prediction provide valuable information for estimating the three dimensional structure of a protein. As new feature extraction methods are developed the dimensionality of the ...