Search
Now showing items 1-10 of 10
Facial Action Unit Detection using Variable Decision Thresholds
(2016)
Detection of facial action units (AUs) is an important research field for recognizing emotional states in facial expressions. Here, we propose a novel, yet effective method, that utilizes variable decision thresholds at ...
Development of a MFCC-SVM Based Turkish Speech Recognition System
(2016)
In this study, a SVM-MFCC based Turkish Speech Recognition system is devoloped. In the structure, Mel Frequency Cepstral Coefficients (MFCC) are used for feature extraction and Support Vector Machines(SVM) are used for ...
Sleep Apnea Detection Using Blood Pressure Signal
(2018)
Sleep apnea is a common respiratory disease. Apnea affects sleep quality, reduces people's life standards, and it can result in death at advanced stage. Therefore the ability to detect the apnea quickly and accurately is ...
Video Scene Classification Using Spatıal Pyramid Based Features
(2014)
Recognition of video scenes is a challenging problem due to the unconstrained structure of the video content. Here, we propose a spatial pyramid based method for the recognition of video scenes and explore the effect of ...
Audio-based Event Detection in Office Live Environments Using Optimized MFCC-SVM Approach
(2015)
Audio data contains several sounds and is an important source for multimedia applications. One of them is unstructured Environmental Sounds (also referred to as audio events) that have noise-like characteristics with flat ...
Continuous Wavelet Transform Based Method For Detection Of Arousal
(2017)
Sleeping is a vital biological requirement in the homeostatic mechanism. Sleep disorders can cause personal health problems and life quality deterioration. Transient waveforms (k-complexes, sleep spindles, arousal, etc.) ...
Detection of K-complexes in Sleep EEG With Support Vector Machines
(2017)
Sleep is a state that can be characterized by the electrical oscillations of nerve cells, where brain activity is more stable than waking. Transient waveforms observed in sleep electroencephalography are structures with ...
Use of Acoustic and Vibration Sensor Data to Detect Objects in Surveillance Wireless Sensor Networks
(2017)
Nowadays, people are using stealth sensors to detect intruders due to their low power consumption and wide coverage. It is very important to use lightweight sensors for detecting real time events and taking actions ...
Computational intelligence models for PIV based particle (cuttings) direction and velocity estimation in multi-phase flows
(2019)
In multi-phase flow, the gas phase, the liquid phase and the particles (cuttings) within the liquid have different flow behaviors. Particle velocity and particle direction are two of the important aspects for determining ...
Automated Tuberculosis Detection Using Pre-Trained CNN and SVM
(2021)
Tuberculosis (TB) is a dreadfully contagious and life-threatening disease if left untreated. Therefore, early and accurate diagnosis is critical for treatment. Today, invasive, expensive, or time-consuming tests are performed ...