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Toplam kayıt 90, listelenen: 51-60
Performance Evaluation of Feature Selection Algorithms on Human Activity Classification
(IEEE, 2013)
In this work, four human activities were classified by using multi layer perceptron and k-nearest neighbours algorithm. Due to mass amount of data, two different feature selection methods, which are ReliefF and t-score, ...
Neuroconnectivity analysis under mental workload and resting state conditions
(IEEE, 2017)
Brain activation can be observed by means of electrical and haemodynamic responses under the resting state condition. Several brain regions are synchronously activated to form functional brain networks during the resting ...
Robot Localization with Monte Carlo Method
(IEEE, 2017)
This report describes the Monte Carlo approach to the localization of a robot or autonomous system. Localization in robot or autonomous systems is the problem of position determination using sensor data. The Monte Carlo ...
Classification of Neuromuscular Junction and Tendon Recordings of Neuromuscular Diseases by Their Spectrogram
(IEEE, 2017)
In this study, the effect of spectrograms from neuromuscular junction and tendon records for normal, neurogenic and myopathic motor units being constructed via EMG Simulator v3.6 on the differential diagnosis were investigated. ...
Impact of Car Arrival/Departure Patterns on EV Parking Lot Energy Storage Capacity
(IEEE, 2016)
Development and implementation of electrified transportation systems, particularly those that integrate with renewable-based vehicle charging systems are supposed to continue attracting the interest of the researchers in ...
The Impact on the Classification Performance of the Combined Use of Different Classification Methods and Different Ensemble Algorithms in Chronic Kidney Disease Detection
(IEEE, 2016)
The aim of this study is to compare the performance assessment results of the different classification methods and ensemble algorithms for the detection of chronic kidney disease. Six different basic classifier (naive ...
Effect of derivative action on back-propagation algorithms
(Springer Verlag, 2019)
Multilayer neural networks using supervised training try to minimize the error between a given correct answer and the ones produced by the network. The weights in the neural network are adjusted at each iteration and after ...
Success of ensemble algorithms in classification of electrical impadence spectroscopy breast tissue records
(IEEE Computer Society, 2014)
In this study was performed by using records from breast tissue electrical impedance spectroscopy analysis. The aim of the study is to reveal the impact of ensemble algorithms on success of the classification performance ...
Karaciğer görüntülerinin geometrik dönüşüm yöntemleri kullanılarak benzerliklerinin değerlendirilmesi
(Institute of Electrical and Electronics Engineers Inc., 2016)
In this study, similarity rates of the liver images are determined using 3D geometric transformation methods and numerical comparisons are made. Three geometric transformation methods scaling, rotating, and translating are ...
Comparative Multiple Sclerosis Lesion Segmentation in Magnetic Resonance Images
(IEEE, 2017)
In this study, the unsupervised clustering method namely K-means algorithm is applied for identifying the multiple sclerosis (MS) lesions in magnetic resonance (MR) images automatically. MS lesion detection is essential ...