Browsing Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed by Category "Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı"
Now showing items 1-20 of 158
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8 Channel Mobile EEG Measurement Device Design
(Ieee, 2018)The need for portable and wearable EEG measurement systems has increased with the widespread use of EEG signals in many applications. In this study, a portable EEG measurement system with 8 channels, small size, wireless ... -
An adaptive noise canceller based on QLMS algorithm for removing EOG artifacts in EEG recordings
(Ieee, 2017)In this paper, a novel adaptive noise canceller (ANC) based on the quaternion valued least mean square algorithm (QLMS) is designed in order to remove electrooculography (EOG) artifacts from electroencephalography (EEG) ... -
Amplitude and Slope Diffraction Coefficients for S-UTD-CH Model
(Ieee, 2016)Diffraction mechanism is vital to predict the field strength and calculate the coverage in urban, rural and indoor. Diffraction occurs on the sharp surfaces like rooftop, edge, corner, and vertex. S-UTD-CH model computes ... -
Amputee Electromyography Signal Classification Using Convolutional Neural Network
(Institute of Electrical and Electronics Engineers Inc., 2020)The classification of EMG signals for the amputees is important to develop a powered-prosthetic that is capable of replacing with lost limbs. The EMG signals collected from residual limbs reduce the classification accuracy ... -
Anomaly detection and privacy preservation in Cloud-Centric Internet of Things
(Ieee, 2015)Internet of Things (IoT) concept provides a number of opportunities to improve our daily lives while also creating a potential risk of increasing the vulnerability of personal information to security and privacy breaches. ... -
Application of aspen plus to renewable hydrogen production from glycerol by steam reforming
(Pergamon-Elsevier Science Ltd, 2020)Steam reforming is the most favored method for the production of hydrogen. Hydrogen is mostly manufactured by using steam reforming of natural gas. Due to the negative environmental impact and energy politics, alternative ... -
Application of of Ray Tracing Technique into S-UTD-CH Model
(Ieee, 2015)To make higher accuracy predictions having less computation complexity, lower computation time, a lot of electromagnetic wave propagation models are developed. These models are classified into two classes, ray tracing based ... -
Assessment of NOx emissions of the Scimitar engine at Mach 5 based on a thermodynamic cycle analysis
(Pergamon-Elsevier Science Ltd, 2020)The Scimitar engine is a new advanced propulsion system designed to propel the aircraft A2 of the LAPCAT project. It is a hybrid system that utilizes the features of turbofan, ramjet and air-turborocket. Hydrogen and air ... -
Assessment of post-fire sal vage logging operations in mediterranean Region of Turkey
(Hrvatsko Sumarsko Drustvo, 2017)Various problems such as massive volume loss, erosion, degradation of water resources, and air pollution emerge after forest fire incidents. Thus, necessary forest operations should be quickly planned and implemented after ... -
Autohydrolysis pretreatment combined with refining for improved enzymatic hydrolysis of multiple feedstock
(Amer Chemical Soc, 2014)[No Abstract Available] -
Automatic removal of ocular artefacts in EEG signal by using independent component analysis and artificial neural network
(Institute of Electrical and Electronics Engineers Inc., 2017)Ocular artefacts caused by eye movements can distort Electroencephalogram (EEG) recordings. It is important to obtain clean EEG signals in diagnosing and interpreting diseases. Meaningful EEG signals should not be distorted ... -
Automatic Removal of Ocular Artefacts In EEG Signal by Using Independent Component Analysis and Chauvenet Criterion
(Ieee, 2015)Eye movements (saccade, blink and cause artefacts in Electroencephalogram recordings. The ocular artefact can distort the EEG signals. Removal of ocular artefact is important issue in EEG signal analysis. The main task of ... -
A Broad Overview of GPS Fundamentals: Now and Future
(Ieee, 2017)GPS (Global Positioning System) is a satellite based navigation system and is used in a variety of applications such as mapping, vehicle navigation and surveying. In this work, a detailed background of GPS is included. ... -
Brominated flame retardants in a computer technical service: Indoor air gas phase, submicron (PM1) and coarse (PM10) particles, associated inhalation exposure, and settled dust
(Pergamon-Elsevier Science Ltd, 2019)Brominated flame retardants (BFRs) are found in multi-media indoors, therefore, may pose serious risks to human health. This study investigated the occurrence of BFRs in particulate matter (PM1 and PM10 and gas phase by ... -
Building Parameter Analysis with S-UTD-CH model in Multiple Diffraction
(Ieee, 2015)Electromagnetic wave propagation models are used in radio planning tool and coverage prediction. These models are based on ray tracing technique or numerical. Slope UTD with convex hull model is a model which has less ... -
Capsule Network for Finger-Vein-based Biometric Identification
(Ieee, 2019)Most of the recent researches have determined that finger-vein identification systems have begun to change their direction from hand-crafted feature extraction to automatic feature extraction methods, such as convolutional ... -
CFD-based investigation of the effectiveness of a novel longitudinal ventilation concept in tunnels
(Avestia Publishing, 2017)[No abstract available] -
Classification of Motor Imagery Signals by Convolutional Neural Network for BCI Applications
(Ieee, 2019)Electroencephalography (EEG) signals have been using for clinical purposes for many years. However, studies on the use of EEG signals in brain computer interface (BBA) applications are increasing. It is possible to control ... -
Classification of Motor Imaginary Signals Using Stacked Autoencoders
(Institute of Electrical and Electronics Engineers Inc., 2020)Motor imagery signals are one of the electroencephalography signals that occurs by subjects imagining the movement of a body limb and they used in brain computer interface applications. With the use of deep neural networks ... -
Classification of Turkish Universities by quantity and titles of Academic Staff
(Ieee, 2018)In this study, universities are clustered based on the quantity and title of the academics employed by Turkish Universities. The data comes from both state and private universities and vocational schools. For clustering, ...
