Nowadays, deep learning methods such as Convolutional Neural Networks (CNNs) have the advantages towards computer vision problems including place classification ...
... In this study, as opposed to the common path of training from visual experiences, we exploit a deep convolutional neural network (CNN) as a source of ...
Indonesian Places Dataset · Deep Learning for Visual Indonesian Place Classification with Convolutional Neural Networks. Article. Full-text available. Jan 2019.
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This research proposes an innovative tourism spot identification and recognition mechanism, based on deep learning-based object detection technology, for ...
Dec 30, 2022 · In this research, we proposed to utilize deep learning for tourism spot classification using Convolutional Neural Network (CNN) as feature ...
The present study explores the domain of Keris classification by employing advanced Convolutional Neural Networks (CNNs) as a potent technique for identifying ...
Image classification using deep learning applications has become an emerging area in computer vision research (Gill & Khehra, 2021). The conventional neural ...
May 2, 2022 · This study proposes a general framework based on Convolutional Neural Network to perform automated building classification for the rapid visual screening ...
This research has used the Convolutional Neural Network (CNN) Architecture and Tensorflow library to build the model image of classification of Indonesian ...
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Chowanda, Deep Learning for Visual Indonesian Place Classification with Convolutional Neural Networks, Procedia Comput. Sci., № 157, с. 436 https://doi.org ...