Table of Contents

Articles

Mengyue Zhang, Jinyong Chen, Gang Wang, Min Wang, Kang Sun

Article ID: 4124
Views - 186  (Abstract) PDF - 51  (Download)
Abstract: Target recognition based on deep learning relies on a large quantity of samples, but in some specific remote sensing scenes, the samples are very rare. Currently, few-shot learning can obtain high-performance target classification models using only a few samples, but most researches are based on the natural scene. Therefore, this paper pro...
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1-8
Mohammad Hasan Olyaei, Ali Olyaei, Sumaya Hamidi

Article ID: 4419
Views - 161  (Abstract) PDF - 29  (Download)
Abstract: The world’s elderly population is growing every year. It is easy to say that the fall is one of the major dangers that threaten them. This paper offers a Trained Model for fall detection to help the older people live comfortably and alone at home. The purpose of this paper is to investigate appropriate methods for diagnosing falls by analyzing the motion ...
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9-16
Navid Moshtaghi Yazdani, Reihaneh Kardehi Moghaddam, Mohammad Hasan Olyaei

Article ID: 4361
Views - 185  (Abstract) PDF - 27  (Download)
Abstract:Safety is an important aim in designing safe-critical systems. To design such systems, many policy iterative algorithms are introduced to find safe optimal controllers. Due to the fact that in most practical systems, finding accurate information from the system is rather impossible, a new online training method is presented in this paper to perform an iterat...
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17-25
Elaheh Gavagsaz

Article ID: 4668
Views - 132  (Abstract) PDF - 15  (Download)
Abstract: The k-Nearest Neighbor method is one of the most popular techniques for both classification and regression purposes. Because of its operation, the application of this classification may be limited to problems with a certain number of instances, particularly, when run time is a consideration. However, the classification of large amounts of data has become ...
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26-41