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E. V. Tretyak
Pág. 17 - 26
The paper deals with the application of distributional semantic methods to the task of measuring similarity between several translations of the original text. In particular, Word2Vec neural network toolkit is employed for comparison between two translati...
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Guan Wei Thum, Sai Hong Tang, Siti Azfanizam Ahmad and Moath Alrifaey
Underwater cables or pipelines are commonly utilized elements in ocean research, marine engineering, power transmission, and communication-based activities. Their performance necessitates regularly conducted inspection for maintenance purposes. A vision ...
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Martin Greguric, Miroslav Vujic, Charalampos Alexopoulos and Mladen Miletic
Persistent congestions which are varying in strength and duration in the dense traffic networks are the most prominent obstacle towards sustainable mobility. Those types of congestions cannot be adequately resolved by the traditional Adaptive Traffic Sig...
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Tung Lam Pham, Huy Nguyen, Trang Nguyen and Yeong Min Jang
This paper proposes a novel method of training and applying a neural network to act as an adaptive decoder for a modulation scheme used in optical camera communication (OCC). We present a brief discussion on trending artificial intelligence applications,...
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Konstantinos I. Papageorgiou, Katarzyna Poczeta, Elpiniki Papageorgiou, Vassilis C. Gerogiannis and George Stamoulis
This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim of time series forecasting is to ...
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