Hydips : a hybrids neural network based diagnostic tool for perinatal surveillance.

Baykal, Nazife


HyFI: Hybrid Flow Initiation in Software Defined Networks
Soltani, Ahmad; Bazlamaçcı, Cüneyt Fehmi (2014-04-03)
Software defined networking (SDN) provides techniques to facilitate the management of computer networks in a centralized and integrated architecture by separating the control plane from the data plane in packet forwarding devices and middleboxes. By creating this abstraction layer, SDN allows control of network middleboxes remotely from a controller point, which is either connected directly (out-of-band control using dedicated links) or indirectly (in-band control using the available data network links) to ...
Neural networks with piecewise constant argument and impact activation
Yılmaz, Enes; Akhmet, Marat; Department of Scientific Computing (2011)
This dissertation addresses the new models in mathematical neuroscience: artificial neural networks, which have many similarities with the structure of human brain and the functions of cells by electronic circuits. The networks have been investigated due to their extensive applications in classification of patterns, associative memories, image processing, artificial intelligence, signal processing and optimization problems. These applications depend crucially on the dynamical behaviors of the networks. In t...
Connectionist multi-sequence modelling and applications to multilingual neural machine translation
Fırat, Orhan; Yarman Vural, Fatoş Tunay; Cho, Kyunghyun; Department of Computer Engineering (2017)
Deep (recurrent) neural networks has been shown to successfully learn complex mappings between arbitrary length input and output sequences, called sequence to sequence learning, within the effective framework of encoder-decoder networks. This thesis investigates the extensions of sequence to sequence models, to handle multiple sequences at the same time within a single parametric model, and proposes the first large scale connectionist multi-sequence modeling approach. The proposed multisequence modeling arch...
Efficient scheduling in distributed computing on grid
Kaya, Özgür; Bozyiğit, Müslim; Department of Computer Engineering (2006)
Today many computing resources distributed geographically are idle much of time. The aim of the grid computing is collecting these resources into a single system. It helps to solve problems that are too complex for a single PC. Scheduling plays a critical role in the efficient and effective management of resources to achieve high performance on grid computing environment. Due to the heterogeneity and highly dynamic nature of grid, developing scheduling algorithms for grid computing involves some challenges....
3D synthetic human face modelling tool based on T-spline surfaces
Aydoğan, Ali; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2007)
In this thesis work, a 3D Synthetic Human Face Modelling Software is implemented using C++ and OpenGL. Bézier surfaces, B-spline surfaces, Nonuniform Rational B-spline surfaces, Hierarchical B-Spline surfaces and T-spline surfaces are evaluated as options for the surface description method. T-spline surfaces are chosen since they are found to be superior considering the requirements of the work. In the modelling process, a modular approach is followed. Firstly, high detailed facial regions (i.e. nose, eyes,...
Citation Formats
N. Baykal, “Hydips : a hybrids neural network based diagnostic tool for perinatal surveillance.,” Ph.D. - Doctoral Program, Middle East Technical University, 1996.