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System Architecture Design for Low-Complexity Downlink Receivers in MU-OFDM Systems Open
This study introduces a novel resource allocation approach and a simplified receiver design tailored for power- and processing-constrained devices within an orthogonal frequency division multiplexing (OFDM) system accommodating both mobile…
TRANSFORMATION OF MINOR GENRES IN KAZAKH POSTFOLKLORE Open
In the article, the targeted audience and thematic character of the instructive stories that are spreading through the networks are classified, and the correlation and comparison of the types of proverbs that have changed in accordance wit…
Detection of Olfactory Stimulus in Electroencephalogram Signals Using Machine and Deep Learning Methods Open
The investigation of olfactory stimuli has become more prominent in the context of neuromarketing research over the last couple of years. Although a few studies suggest that olfactory stimuli are linked with consumer behavior and can be ob…
Detection of Alzheimer’s Dementia by Using Deep Time–Frequency Feature Extraction Open
Alzheimer's disease (AD), a neurological condition connected with aging, causes cognitive deterioration and has a substantial influence on a patient's daily activities. One of the most widely used clinical methods for examining how AD affe…
TIPTEKNO 2023 Cover Page Open
Department between Nov. 10-12, 2023 in Famagusta, TRNC with international participation.In our congress, users, manufacturers, researchers, managers and public representatives working in the field of medical technologies were brought toget…
Cover Page Open
In our congress, users, manufacturers, researchers, managers and public representatives working in the field of medical technologies were brought together, scientific research results in the fields of biomedical engineering and clinical en…
View article: Electrogastrography in Patients with Functional Dyspepsia, Joint Hypermobility, and Diabetic Gastroparesis
Electrogastrography in Patients with Functional Dyspepsia, Joint Hypermobility, and Diabetic Gastroparesis Open
This joint methodology demonstrated that it is possible to differentiate between functional dyspepsia, joint hypermobility, and diabetic gastroparesis patients from healthy subjects by using electrogastrography. Moreover, the majority of p…
Null Subcarrier Index Modulation in OFDM Systems for 6G and Beyond Open
Computational complexity is one of the drawbacks of orthogonal frequency division multiplexing (OFDM)-index modulation (IM) systems. In this study, a novel IM technique is proposed for OFDM systems by considering the null subcarrier locati…
Arrhythmic Heartbeat Classification Using 2D Convolutional Neural Networks Open
Background: Electrocardiogram (ECG) is a method of recording the electrical activity of the heart and it provides a diagnostic means for heart-related diseases. Arrhythmia is any irregularity of the heartbeat that causes an abnormality in …
Detection of Consumer Preferences Using EEG Signals Open
In this study, a liking estimation system based on electroencephalogram (EEG) signals is developed for neuromarketing applications. The determination of the degree of appreciation of a product by consumers has become an important research …
Epileptic EEG Classification by Using Advanced Signal Decomposition Methods Open
Electroencephalography (EEG) signals are frequently used for the detection of epileptic seizures. In this chapter, advanced signal analysis methods such as Empirical Mode Decomposition (EMD), Ensembe (EMD), Dynamic mode decomposition (DMD)…
ECG Heartbeat Classification Based on Signal-to-Image Transformation Using Convolutional Neural Networks Open
Background: Electrocardiogram (ECG) is a method of recording the electrical activity of the heart and provides a diagnostic mean for heart-related diseases. An arrhythmia is any irregularity of heartbeat that causes an abnormality in one’s…
IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS Open
Parkinson's is a neurodegenerative disease that, as in the case of other neurodegenerative diseases, has disruptive effects on human mobility. In this study, gait markers were obtained by using sensors under the foot, giving an output prop…
The Spectral and Statistical Analysis of Gait Dynamics in ALS Disease Open
Amyotrophic lateral sclerosis (ALS) disease, also known as motor neuron disease, is a disease resulting from loss of motor nerve cells in the spinal cord and brain stem region at central nervous system. Researchers can’t find the reason of…
Iterative Time-Varying Filter Algorithm Based On Discrete Linear Chirp Transform Open
Denoising of broadband non--stationary signals is a challenging problem in communication systems. In this paper, we introduce a time-varying filter algorithm based on the discrete linear chirp transform (DLCT), which provides local signal …
Fabrication Of Poly(Ethylene Oxide)/Chitosan/Indocyanine Green Nanoprobe By Co-Axial Electrospinning Method For Early Detection Open
Early detection of cancer could save human life and quality in insidious cases by advanced biomedical imaging techniques. Designing targeted detection system is necessary in order to protect of healthy cells. Electrospun nanofibers are eff…
Chronic Kidney Disease Prediction with Reduced Individual Classifiers Open
Chronic kidney disease is a rising health problem and involves conditions that decrease the efficiency of renal functions and that damage the kidneys. Chronic kidney disease may be detected with several classification techniques, and these…
Noise-Assisted Multivariate Empirical Mode Decomposition Based Emotion Recognition Open
DOI: 10.26650/electrica.2018.00998Emotion state detection or emotion recognition cuts across different disciplines because of the many parameters that embrace the brain's complex neural structure, signal processing methods, and pattern rec…
Analysis of Gait Dynamics of ALS Disease and Classification of Artificial Neural Networks Open
In this study, a gait device was used for gathering data.A group comprising control group and ALS patients was requested to walk using this device.Gait signals of the control group individuals and ALS patients taken from their left feet we…
Frequency Estimation For Monophonical Music By Using A Modified Vmd Method Open
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017
SUPPORT VECTOR MACHINES COMBINED WITH FEATURE SELECTION FOR DIABETES DIAGNOSIS Open
Clinical Decision Support Systems (CDSS) are used as a service software which provides huge support to clinical decision making process where the main properties of a patient are matched to a tangible clinical knowledge. Within this gather…