Ara
Toplam kayıt 5, listelenen: 1-5
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 ...
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 ...
AkıllıTelefon Üzerinden AkıllıSaat Destekli Düşme Tespit Sistemi Tasarımı
(Institute of Electrical and Electronics Engineers Inc., 2018)
Falling is an important health risk, especially for the elderly people. This situation prevents individuals from living independently. Automatic and high accuracy detection of the falls will contribute in preventing the ...
Mahalanobis uzaklığı tabanlı aykırı değer bulma ve ReliefF öznitelik seçimine dayalı bir makine öğrenmesi yaklaşımı ile akıllı telefon verileri üzerinden stres tespiti
(Pamukkale Üniversitesi, 2022)
Stress is beneficial when a person is focused, awake and alert. However, exposure to high doses of stress harms a person's health. For this reason, it is important to detect stress and begin relief as soon as possible. In ...