Browsing MF, EEM, Bildiri ve Sunum Koleksiyonu by Title
Now showing items 1-20 of 28
-
An antipodal vivaldi antenna design for torso imaging in a coupling medium
(IEEE, 2021)An antipodal Vivaldi antenna designed to operate in a coupling medium with a relative dielectric constant of epsilon(r) = 25 for microwave imaging of torso is presented in this paper. The proposed antenna is similar to the ... -
Bidirectional recurrent neural network language models for automatic speech recognition
(2015)Recurrent neural network language models have enjoyed great success in speech recognition, partially due to their ability to model longer-distance context than word n-gram models. In recurrent neural networks (RNNs), ... -
Compositional neural network language models for agglutinative languages
(2016)Continuous space language models (CSLMs) have been proven to be successful in speech recognition. With proper training of the word embeddings, words that are semantically or syntactically related are expected to be mapped ... -
A decade of discriminative language modeling for automatic speech recognition
(2015)This paper summarizes the research on discriminative language modeling focusing on its application to automatic speech recognition (ASR). A discriminative language model (DLM) is typically a linear or log-linear model ... -
Developing an automatic transcription and retrieval system for spoken lectures in Turkish
(2017)With the increase of online video lectures, using speech and language processing technologies for education has become quite important. This paper presents an automatic transcription and retrieval system developed for ... -
Domain adaptation approaches for acoustic modeling
(IEEE, 2020)In the recent years, with the development of neural network based models, ASR systems have achieved a tremendous performance increase. However, this performance increase mostly depends on the amount of training data and ... -
Feasibility of distorted born iterative method for detecting early stage of heart failure
(IEEE, 2020)In this paper, we analyze the feasibility of using microwaves to detect early stage of congestive heart failure, which causes water accumulation in the lungs. To this aim, a slice from realistic human torso phantom, which ... -
An FPGA implementation of a RISC-V based SoC system for image processing applications
(IEEE, 2021)The Laplacian filter is one of the fundamental applications in image processing. In our work, the Laplacian filter has been applied to an image, and both hardware and software implementation of the filter has been studied. ... -
An FPGA implementation of givens rotation based digital architecture for computing eigenvalues of asymmetric matrix
(IEEE, 2022)This paper proposes the digital circuit design that performs the eigenvalue calculation of asymmetric matrices with realvalued elements. Eigenvalues are computed iteratively through the QR algorithm. In the QR algorithm, ... -
Highlighting of lecture video closed captions
(IEEE, 2020)The main purpose of this study is to automatically highlight important regions of lecture video subtitles. Even though watching videos is an effective way of learning, the main disadvantage of video-based education is ... -
The impact of D2D connections on network-assisted mobile data offloading
(IEEE, 2018)The exponential increase of mobile data traffic pushes mobile operators to seek more efficient heterogeneous communication techniques. In this study, multi-user extension methods for multiple attribute decision making ... -
Impact of hardware sources on feature selection for online signature verification
(IEEE, 2020)This work analyzes time series features gathered from a touchpad which is a part of online signature verification system. A DTW processing unit is implemented on FPGA to be used in time series analysis. To support different ... -
Improving the usage of subword-based units for Turkish speech recognition
(IEEE, 2020)Subword units are often utilized to achieve better performance in speech recognition because of the high number of observed words in agglutinative languages. In this study, the proper use of subword units is explored in ... -
Integration and management of Wi-Fi offloading in service provider infrastructures
(2016)Integration of offloading technologies into mobile network operator's infrastructures that provide heterogeneous access services is a challenging task for mobile operators. A connectivity management platform is a key element ... -
Joint source separation and classification using variational autoencoders
(IEEE, 2020)In this paper, we propose a novel multi-task variational auto encoder (VAE) based approach for joint source separation and classification. The network uses a probabilistic encoder for each sources to map the input data to ... -
A modified newton method formulation for microwave imaging
(IEEE, 2020)A new variant of Newton type methods has been developed for quantitative microwave imaging. To deal with the ill-posedness of the inverse problems, standard Newton type methods involve a linearization of the so called data ... -
Multi-stream long short-term memory neural network language model
(2015)Long Short-Term Memory (LSTM) neural networks are recurrent neural networks that contain memory units that can store contextual information from past inputs for arbitrary amounts of time. A typical LSTM neural network ... -
Parallelization and performance analysis of reversible circuit synthesis
(26th IEEE Signal Processing and Communications Applications Conference, SIU 2018IEEE, 2018)Kuantum bilgisayarların son on yılda yükselen popülerliği tersinir devre sentezine verilen ilginin de artması ile sonuçlanmıştır. Bu çalı¸smada, literatürde popüler olarak bilinen temel fonksiyonlara dayalı bir sentezleme ... -
Parameters effects study on pulse laser for the generation of Surface Acoustic Waves in human skin detection applications
(2015)Laser-induced Surface Acoustic Waves (LSAWs) has been promisingly and widely used in recent years due to its rapid, high accuracy and non-contact evaluation potential of layered and thin film materials. For now, researchers ...
