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Paulo J. S. Ferreira, João M. P. Cardoso and João Mendes-Moreira
The kNN machine learning method is widely used as a classifier in Human Activity Recognition (HAR) systems. Although the kNN algorithm works similarly both online and in offline mode, the use of all training instances is much more critical online than of...
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Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Muhammad Zeeshan Jhanidr, Mickaël Coustaty, Muhammad Muzzamil Luqman, Jean-Marc Ogier and Gyu Sang Choi
In the area of pattern recognition and pattern matching, the methods based on deep learning models have recently attracted several researchers by achieving magnificent performance. In this paper, we propose the use of the convolutional neural network to ...
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Weipeng Guan, Jingyi Li, Shangsheng Wen, Xinjie Zhang, Yufeng Ye, Jieheng Zheng and Jiajia Jiang
In this paper, an online to offline (O2O) method based on visible light communication (VLC) is proposed, which is different from the traditional VLC with modulation and demodulation. It is a new VLC with modulation and recognition. We use RGB light emitt...
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Sobirjon Sattorovich Radjabov,Shavkat Kh. Fazilov,Nomaz N. Mirzaev,Musokhon Kh. Dadakhanov,Mukhammadmullo A. Asraev,Farkhodbek M. Shamsiev
The paper analytically reviews the methods and algorithms for solving problems arising in the development of writer identification offline systems. The main applied problems that are solved on the basis of the processing and analysis of handwritten text ...
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Chao Xing, Zhiliang Huang and Shengmei Zhao
This paper presents a new latency reduction method for successive-cancellation (SC) decoding of polar codes that performs a frozen-bit checking on the rate-other (R-other) nodes of the Fast Simplified SC (Fast-SSC) pruning tree. The proposed method integ...
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