Ara
Toplam kayıt 11, listelenen: 1-10
Diagnosis of transportation modes on mobile phone using logistic regression classification
(Inst Engineering Technology-Iet, 2018)
The aim of this study is to detect transportation modes of people by using smartphone sensors. Therefore, a mobile application was developed for this purpose and global positioning system (GPS), accelerometer, and gyroscope ...
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 Fuzzy Multi-Criteria Decision Analysis Approach for the Evaluation of the Network Service Providers in Turkey
(Taylor & Francis Inc, 2018)
Heterogeneous networks are environments where networks having different topologies and technologies can be connected. In an environment including more than one heterogeneous access network, selection of a bad network may ...
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 ...
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 ...
Development of content-based SMS classification application by using Word2Vec-based feature extraction
(Institution of Engineering and Technology, 2019)
While mobile instant messaging applications such as WhatsApp, Messenger, Viber offer benefits to phone users such as price, easy usage, stable, collective and direct communication, SMS (short message service) is still ...
A mobile solution based on soft computing for fall detection
(Springer Science and Business Media Deutschland GmbH, 2019)
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 ...
Development of a fuzzy decision support framework for complex multi-attribute decision problems: A case study for the selection of skilful basketball players
(Wiley, 2014)
The selection of skilful players is a complicated process due to the problem criteria consisting of both qualitative and quantitative
attributes as well as vague linguistic terms. This study seeks to develop a decision ...