This research aims to justify the importance of using convolutional neural networks (CNN) in AR-powered educational applications to provide the learning process with impressive visualization of studied objects. Demonstration of the developed application proves neural network to be its basic part that allows for high-quality accuracy of object localization and image recognition in AR systems. As these systems provide a more informative and impressive way of learning, the application can be used for data mining and big data analysis disciplines to demonstrate real-time operation of localization, clustering and segmentation algorithms
Computer vision has become increasingly important and effective in recent years due to its wide-rang...
Immersive techniques such as augmented reality through devices such as the AR-Sandbox and deep learn...
The paper introduces how multi-class and single-class problems of searching and classifying target o...
This research aims to justify the importance of using convolutional neural networks (CNN) in AR-powe...
Neural networks are one of the state-of-the-art models for machine learning today. One may found the...
Deep learning architecture algorithms have been extensively developed and applied to various applica...
The scientific article reveals the possibility of using new algorithms for searching objects in imag...
At present, deep learning is widely used in a broad range of arenas. A convolutional neural networks...
The paper deals with the basic structural elements of the convolution neural network as well as meth...
With an importance of artificial intelligence intoday’s world, deep learning technology hasdeveloped...
With the increased accessibility to powerful GPUs, ability to develop machine learning algorithms ha...
Augmented Reality (AR) is becoming one of the most interesting and valuable technologies in the digi...
Detection of objects and their location in an image are important elements of current research in co...
This article focuses on the use of artificial intelligence in the educational environment. We consid...
Machine Learning and Artificial Intelligence are starting to gain attention around the world. Compan...
Computer vision has become increasingly important and effective in recent years due to its wide-rang...
Immersive techniques such as augmented reality through devices such as the AR-Sandbox and deep learn...
The paper introduces how multi-class and single-class problems of searching and classifying target o...
This research aims to justify the importance of using convolutional neural networks (CNN) in AR-powe...
Neural networks are one of the state-of-the-art models for machine learning today. One may found the...
Deep learning architecture algorithms have been extensively developed and applied to various applica...
The scientific article reveals the possibility of using new algorithms for searching objects in imag...
At present, deep learning is widely used in a broad range of arenas. A convolutional neural networks...
The paper deals with the basic structural elements of the convolution neural network as well as meth...
With an importance of artificial intelligence intoday’s world, deep learning technology hasdeveloped...
With the increased accessibility to powerful GPUs, ability to develop machine learning algorithms ha...
Augmented Reality (AR) is becoming one of the most interesting and valuable technologies in the digi...
Detection of objects and their location in an image are important elements of current research in co...
This article focuses on the use of artificial intelligence in the educational environment. We consid...
Machine Learning and Artificial Intelligence are starting to gain attention around the world. Compan...
Computer vision has become increasingly important and effective in recent years due to its wide-rang...
Immersive techniques such as augmented reality through devices such as the AR-Sandbox and deep learn...
The paper introduces how multi-class and single-class problems of searching and classifying target o...