Ara
Toplam kayıt 4, listelenen: 1-4
A novel approach for transportation mode detection: Combining t-SNE Manifold Learning and Support Vector Machines
(Ieee, 2017)
The aim of this study is to detect transportation modes by using smart phone sensor data. The data are obtained from the GPS, accelerometer and gyroscope sensors of the smartphone. The collected data is divided into 10 ...
Classification Turkish SMS with Deep Learning Tool Word2Vec
(Ieee, 2017)
In this study, it was aimed to develop SMS (Short Message) classification application based on deep learning. By examining messages collected from different age groups and regions, feature labels that could be effective ...
A data mining approach to the diagnosis of failure modes for two serial fastened sandwich composite plates
(Sage Publications Ltd, 2017)
The aim of this study is to diagnose and classify the failure modes for two serial fastened sandwich composite plates using data mining techniques. The composite material used in the study was manufactured using glass fiber ...
Hareket Sensörleri Uzerinden Oylama Yöntemi ile Aktivite Tespiti
(Institute of Electrical and Electronics Engineers Inc., 2017)
Classification of daily human movements using wearable sensor technology is among the current research topics, especially healthcare. In this study, eight different daily human movements (writing, walking, running, tooth ...