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Deep learning (DL), mainly composed of deep and complex neural networks such as recurrent network and convolutional network, is an emerging research branch in the field of artificial intelligence and machine learning. DL revolution has a far-reaching impact on all scientific disciplines and every corner of our lives. With continuing technological advances, marine science is entering into the big data era with the exponential growth of information. DL is an effective means of harnessing the power of big data. Combined with unprecedented data from cameras, acoustic recorders, satellite remote sensing, and large model outputs, DL enables scientists to solve complex problems in biology, ecosyste...
Selected, peer reviewed papers from the 2012 International Conference on Environmental and Materials Engineering (EME 2012), December 9-10, 2012, Seoul, Korea
The Ben cao gang mu, compiled in the second half of the sixteenth century by a team led by the physician Li Shizhen (1518Ð1593) on the basis of previously published books and contemporary knowledge, is the largest encyclopedia of natural history in a long tradition of Chinese materia medica works. Its description of almost 1,900 pharmaceutically used natural and man-made substances marks the apex of the development of premodern Chinese pharmaceutical knowledge. The Ben cao gang mu dictionary offers access to this impressive work of 1,600,000 characters. This first book in a three-volume series analyzes the meaning of 4,500 historical illness terms.
The two-volume set LNCS 8935 and 8936 constitutes the thoroughly refereed proceedings of the 21st International Conference on Multimedia Modeling, MMM 2015, held in Sydney, Australia, in January 2015. The 49 revised regular papers, 24 poster presentations, were carefully reviewed and selected from 189 submissions. For the three special session, a total of 18 papers were accepted for MMM 2015. The three special sessions are Personal (Big) Data Modeling for Information Access and Retrieval, Social Geo-Media Analytics and Retrieval and Image or video processing, semantic analysis and understanding. In addition, 9 demonstrations and 9 video showcase papers were accepted for MMM 2015. The accepted contributions included in these two volumes represent the state-of-the-art in multimedia modeling research and cover a diverse range of topics including: Image and Video Processing, Multimedia encoding and streaming, applications of multimedia modelling and 3D and augmented reality.