Browsing Elektrik Elektronik Mühendisliği Bölümü koleksiyonu by Title
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An adaptive admittance controller for collaborative drilling with a robot based on subtask classification via deep learning
(Elsevier, 2022)In this paper, we propose a supervised learning approach based on an Artificial Neural Network (ANN) model for real-time classification of subtasks in a physical human–robot interaction (pHRI) task involving contact with ... -
Adaptive human force scaling via admittance control for physical human-robot interaction
(IEEE, 2021)The goal of this article is to design an admittance controller for a robot to adaptively change its contribution to a collaborative manipulation task executed with a human partner to improve the task performance. This has ... -
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 ... -
Audio source separation using variational autoencoders and weak class supervision
(Institute of Electrical and Electronics Engineers (IEEE), 2019)In this letter, we propose a source separation method that is trained by observing the mixtures and the class labels of the sources present in the mixture without any access to isolated sources. Since our method does not ... -
A bayesian allocation model based approach to mixed membership stochastic blockmodels
(Taylor and Francis Ltd., 2022)Although detecting communities in networks has attracted considerable recent attention, estimating the number of communities is still an open problem. In this paper, we propose a model, which replicates the generative ... -
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), ... -
CNN-Based emotion recognition using data augmentation and preprocessing methods
(Institute of Electrical and Electronics Engineers Inc., 2023)In this paper, a system that recognizes emotion from human faces is designed using Convolutional Neural Networks (CNN). CNN is known to perform well when trained with a large database. The lack of large and balanced publicly ... -
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 ... -
Design and FPGA implementation of UAV simulator for fast prototyping
(IEEE, 2023)As production and advances in motor and battery cell technology progress, unmanned aerial vehicles (UAVs) are gaining more and more acceptance and popularity. Unfortunately, the design and prototyping of UAVs is an expensive ... -
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 ... -
Differential microwave imaging of cerebral hemorrhage via dort method
(IEEE, 2023)Bleeding in the brain tissues may cause fatal health conditions and continuous monitoring of the change in this blood accumulation becomes important in the first few hours after the incident. The continuous post-event ... -
Diyalog geliştirme için bağlaşımlı tensör ayrıştırma yöntemleri
(TÜBİTAK, 2021)Ayrıştırma tabanlı ses modelleme yöntemleri, hesaplama gücünün artmasıyla ve istatistiksel modelleme yöntemlerinin gelişmesiyle birlikte yaygın olarak kullanılmaktadır. Bu yöntemler, ses kodlama, müziksel bilgi çıkarımı, ... -
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 ... -
Evaluation of diaphragm conditions in AAC floor structureswith RC beams
(2018)Diaphragm action in floor structures is an important aspect that affects both local behaviors of individual members and consequently, the global response of a structure. The diaphragm action of a built structure, therefore ... -
Experimental observation of temperature and pressure induced frequency fluctuations in silicon MEMS resonators
(IEEE, 2021)Silicon MEMS resonators are increasingly being adopted for applications in timing and frequency control, as well as precision sensing. It is well established that a key limitation to performance is associated with sensitivity ... -
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 ... -
Foundations of Neuroscience-Based Learning
(Springer International Publishing, 2022)Traditional learning and teaching approaches such as problem-based or project-based learning, among others, do not explicitly consider emotional-enhanced learning, which is a well-known driver of engagement leading to ... -
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. ...
