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29.116  Articles
1 of 2.913 pages  |  10  records  |  more records»
Deep neural networks have achieved state-of-the-art performance in many artificial intelligence areas, such as object recognition, speech recognition and machine translation. While the deep neural networks have high expression capabilities, they are prone... see more

Interventional cancer clinical trials are generally too restrictive, and some patients are often excluded on the basis of comorbidity, past or concomitant treatments, or the fact that they are over a certain age. The efficacy and safety of new treatments ... see more

In recent years, bridge damage identification using a convolutional neural network (CNN) has become a hot research topic and received much attention in the field of civil engineering. Although CNN is capable of categorizing damaged and undamaged states fr... see more

In recent years, bridge damage identification using a convolutional neural network (CNN) has become a hot research topic and received much attention in the field of civil engineering. Although CNN is capable of categorizing damaged and undamaged states fr... see more

Rembesan minyak merupakan salah satu peristiwa yang merugikan lingkungan pada industri minyak dan gas. Hal ini dikarenakan senyawa kimia yang terkandung pada rembesan minyak dapat mengakibatkan penurunan kualitas lingkungan hidup. Rembesan minyak (Oil See... see more

The problem of construction of deep neural networks with the use of genetic algorithms is considered. The problem of structural-parametric synthesis with creation of neural networks is defined. The main purpose of the study is to find a deep neural networ... see more

Sign Language is considered the main communication tool for deaf or hearing impaired people.  It is a visual language that uses hands and other parts of the body to provide people who are in need to full access of communication with the world.  ... see more

At present, deep learning is widely used in a broad range of arenas. A convolutional neural networks (CNN) is becoming the star of deep learning as it gives the best and most precise results when cracking real-world problems. In this work, a brief descrip... see more

In this paper, we will use deep neural networks for predicting the bike sharing usage based on previous years usage data. We will use because deep neural nets for getting higher accuracy. Deep neural nets are quite different from other machine learning te... see more

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