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Now showing items 11-18 of 18
Edge detection using steerable filters and CNN
(European Signal Processing Conference EUSIPCO, 2002)
This paper proposes a new approach for edge detection using steerable filters and cellular neural networks (CNNs) where the former yields the local direction of dominant orientation and the latter provides iterative ...
RGB color based occupancy rate detection of indoor spaces [RGB renk tabanlı kapalı mekanların doluluk oranının belirlenmesi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
In this study a system has been developed to detect the human density of indoor spaces such as libraries banks shopping malls. The RGB images used in this work was obtained from the real-life space. First and second order ...
Fault estimation of Trakya and Marmara Sea regions using 2D Gabor filtering [2 boyutlu gabor filtre yöntemi uygulayarak Trakya ve Marmara denizindeki fay hatlarının saptanması]
(2005)
In this paper we have applied 2D Gabor filtering to gravity and magnetic anomalies in estimation of discontinuities. Gabor filtering is an effective separation method compared to others having steerable and frequency ...
Smart Stethoscope
(IEEE, 2020)
In this study, a device named smart stethoscope that uses digital sensor technology for sound capture, active acoustics for noise cancellation and artificial intelligence (AI) for diagnosis of heart and lung diseases is ...
RGB Color Based Occupancy Rate Detection of Indoor Spaces
(IEEE, 2018)
In this study, a system has been developed to detect the human density of indoor spaces such as libraries, banks, shopping malls. The RGB images used in this work was obtained from the real-life space. First and second ...
Design and Implementation of a Cellular Neural Network Based Oscillator Circuit
(World Scientific and Engineering Acad and Soc, 2009)
In this paper, a novel inductorless oscillator circuit with negative feedbacks, based on a simple version of a "Cellular Neural Network" (CNN) called "CNN with an Opposite Sign Template" (CNN-OST) is designed and implemented. ...
Analytical approaches for the amplitude and frequency computations in the astable cellular neural networks with opposite sign templates
(IEEE, 2007)
In this paper, by using surface fitting methods, analytical approaches for amplitudes and frequencies of the x(1,2)(t) "States" in a simple dynamical neural network called "Cellular Neural Network with Opposite Sign ...
The Effect of Data Augmentation on ADHD Diagnostic Model using Deep Learning
(IEEE, 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 objective ...