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Tianao Qin, Ruixin Chen, Rufu Qin and Yang Yu
Time series prediction is an effective tool for marine scientific research. The Hierarchical Temporal Memory (HTM) model has advantages over traditional recurrent neural network (RNN)-based models due to its online learning and prediction capabilities. G...
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Antal Vigh, Adriana Dalila Criste, Nicolae Corcionivoschi and Christine Gerard
The dietary inclusion of trace minerals (TMs), such as copper (Cu), manganese (Mn) and zinc (Zn), is of importance to cover the ever-evolving requirements for growth, production and reproduction in ruminants. Various sources of TMs are commercially avail...
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Kai Zhang, Fei Zhao, Shoushan Luo, Yang Xin, Hongliang Zhu and Yuling Chen
With the development of intrusion detection, a number of the intelligence algorithms (e.g., artificial neural networks) are introduced to enhance the performance of the intrusion detection systems. However, many intelligence algorithms should be trained ...
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Attila Molnár, Zsolt Végvári and Béla Tóthmérész
The identification of climatic relicts is seldom straightforward. These species are threatened owing to current climatic trends, which underlines the importance of carrying out ecological and biogeographic investigations of them. Here we introduce a nove...
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Alberto-Jesús Perea-Moreno, María-Jesús Aguilera-Ureña, José-Emilio Meroño-De Larriva, Francisco Manzano-Agugliaro
Pág. 1 - 19
Golf courses can be considered as precision agriculture, as being a playing surface, their appearance is of vital importance. Areas with good weather tend to have low rainfall. Therefore, the water management of golf courses in these climates is a crucia...
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Carolina Sancho Hirane
Pág. 197 - 198
Swenson, Russell y Lemozy, Susana (coordinadores). Democratización de la Función Inteligencia. EE.UU: Center Strategic Intelligence Research. National Defense Intelligence College. 2009. 456 pp. Disponible en http://www.ndic.edu/press/12060.htm
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