Browsing Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed by Subject "Neural networks"
Now showing items 1-7 of 7
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Analytical approaches for the amplitude and frequency computations in the astable cellular neural networks with opposite sign templates
(2007)In this paper, by using surface fitting methods, analytical approaches for amplitudes and frequencies of the x1,2(t) "States" in a simple dynamical neural network called "Cellular Neural Network with Opposite Sign Templates" ... -
Classification of ADHD using ensemble algorithms with deep learning and hand crafted features
(Institute of Electrical and Electronics Engineers Inc., 2019)Attention Deficit Hyperactivity (ADHD) is a common neurodevelopmental disorder that typically appears in early childhood. Methods developed for diagnosing gives different results at different times. This is a major obstacle ... -
Detection of Trojans in integrated circuits
(IEEE, 2012)This paper presents several signal processing approaches in Trojan detection problem in very large scale integrated circuits. Specifically wavelet transforms spectrograms and neural networks are used to analyze power ... -
The effect of data augmentation on ADHD diagnostic model using deep learning
(Institute of Electrical and Electronics Engineers Inc., 2019)Attention Deficit Hyperactivity Disorder (ADHD) is a neuro-behavioral hyperactivity disorder. It is frequently seen in childhood and youth, and lasts a lifetime unless treated. The ADHD classification model should be ... -
Machine Learning Approaches for Predicting Protein Complex Similarity
(Mary Ann Liebert Inc Publ, 2017)Discriminating native-like structures from false positives with high accuracy is one of the biggest challenges in protein-protein docking. While there is an agreement on the existence of a relationship between various ... -
An open software architecture of neural networks: Neurosoft
(2004)Software architecture of generic distributed neural networks and its relevant information model have been developed. Principles of on-line architecture building training controlling (managing) and topological optimization ... -
Transmitter source location estimation using crowd data
(Pergamon-Elsevier Science Ltd, 2018)The problem of transmitter source localization in a dense urban area has been investigated where a supervised learning approach utilizing neural networks has been adopted. The cellular phone network cells and signals have ...