Deep Learning Method for Handwriting Recognition

Abdullah Erdal TÜMER

The advancement of technology nowadays resulted into documents, such as forms and petitions, being filled out in computer and digital environment. Yet in some cases, documents are still preserved in traditional style, on print. Due to its distinct proportions, however, its storage, sharing and filing has become a complication. The relocation of these written documents to digital environment is therefore of great significance. In this view, this study aims to explore methodologies of digitizing handwritten documents. In this study, the documents converted to image format were pre-processed usin ...Более

Статья 2021 Meslek Yüksekokulu MANAS Journal of Engineering (MJEN)9 ( 1 ) 110 Просмотры

Real time traffic signal timing approach based on artificial neural network

Abdullah Erdal TÜMER

As the population increases, is more and more increasing the number of vehicles in cities. The increasing number of vehicle make traffic management complicated. Difficult traffic management leads to more fuel consumption, CO2 and other harmful emissions. Therefore, real-time optimization of traffic lights (signaling) used in traffic management can make traffic management more efficient. In this study, green light time is optimized by estimating the number of vehicles in an intersection with signal lights in Konya city center through artificial neural network. The results are evaluated with dif ...Более

Статья 2020 Meslek Yüksekokulu MANAS Journal of Engineering (MJEN)8 ( 1 ) 91 Просмотры

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Deep Learning Method for Handwriting Recognition

Abdullah Erdal TÜMER

Real time traffic signal timing approach based on artificial neural network

Abdullah Erdal TÜMER