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Knowledge based response correction method for design of reconfigurable N-shaped microstrip patch antenna using inverse ANNs
(WILEY, 2017)
Artificial neural networks (ANNs) have been often used for engineering design problems. In this work, an inverse model of a reconfigurable N-shaped microstrip patch antenna which is formed by ANN is considered to find ...
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 ...
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization
(ELSEVIER IRELAND, 2023)
Background and Objective: Early detection of colon adenomatous polyps is critically important because correct detection of it significantly reduces the potential of developing colon cancers in the future. The key challenge ...
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 ...
A Deep Ensemble Approach for Long-Term Traffic Flow Prediction
(SPRINGER, 2024)
In the last 50 years, with the growth of cities and increase in the number of vehicles and mobility, traffic has become
troublesome. As a result, traffic flow prediction started to attract attention as an important research ...
Comparative analysis of machine learning approaches for predicting respiratory virus infection and symptom severity
(PEERJ INC, 2023)
Respiratory diseases are among the major health problems causing a burden on hospitals. Diagnosis of infection and rapid prediction of severity without time-consuming clinical tests could be beneficial in preventing the ...
An effective colorectal polyp classification for histopathological images based on supervised contrastive learning
(ELSEVIER, 2024)
Early detection of colon adenomatous polyps is pivotal in reducing colon cancer risk. In this context, accurately distinguishing between adenomatous polyp subtypes, especially tubular and tubulovillous, from hyperplastic ...