Ara
Toplam kayıt 24, listelenen: 11-20
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 ...
TÜRKİYE ERKEKLER BASKETBOL LİGİ MAÇ SONUÇLARININ MAKİNE ÖĞRENMESİ YÖNTEMLERİ İLE TAHMİNİ
(Süleyman Demirel Üniversitesi, 2020)
Basketbol maçları dünyada en çok izlenen spor aktivitelerinden birisidir. Bu popülerlik sonucunda basketbol sporunda bilgi teknolojileri sık sık kullanılmaktadır. İstatistik ve veri depolama sistemlerinin gelişmesiyle maç ...
Performance evaluation of machine learning algorithms for detecting abnormal data traffic in computer networks
(Institute of Electrical and Electronics Engineers Inc., 2020)
Detection and classification of abnormal data in computer network traffic is a very important cyber-security problem. In this study, the aim is to determine the methods with a high rate of success in classifying the data ...
Data analysis of Covid-19 pandemic and short-term cumulative case forecasting using machine learning time series methods
(Elsevier Science, 2021)
The Covid-19 pandemic is the most important health disaster that has surrounded the world for the past eight months. There is no clear date yet on when it will end. As of 18 September 2020, more than 31 million people have ...
Performance evaluation of artificial neural networks for identification of failure modes in composite plates
(Walter de Gruyter GmbH, 2021)
The aim of this work is to identify failure modes of double pinned sandwich composite plates by using artificial neural networks learning algorithms and then analyze their accuracies for identification. Mechanically pinned ...
A novel method for prediction of EuroLeague game results using hybrid feature extraction and machine learning techniques
(Elsevier Ltd, 2021)
Basketball competitions are among the most watched sports activities in the world. With the developing technology, statistics of the games and players of basketball can be stored more easily, so artificial intelligence ...
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 ...
Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods
(Elsevier Ltd, 2021)
Balances in the energy sector have changed since the implementation of the Covid-19 pandemic lockdown in Europe. This paper analyses how the lockdown affected electricity generation in European countries and how it will ...
Spam SMS Detection for Turkish Language with Deep Text Analysis and Deep Learning Methods
(Springer Science and Business Media Deutschland GmbH, 2021)
With the increasing number of mobile users day by day, the security of mobile phones is an important issue. SMS service available as standard in all users; advertising makes it a preferred method of promotion agencies. ...