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When a scientific journal like "Oecologia Aquatica" reaches its tenth issue, it is perhaps not an occasion for extraordinary celebration. However, if it turn out that this coincides with a series of unusual circunstances, then the perspective changes somewhat. Moreover, if the editors hasten to confess that this modest milestone of issue na 10 was really taken as an excuse to pay tribute to Professor Ramon Margalef, who was the founder, the first director and the driving force behind the journal, we can be forgiven for waiting to celebrate.
Includes entries for maps and atlases.
This volume reviews the ecological effects of road, rail, marine and air transport. The focus ranges from identification of threats and repair of damaging effects to design of future transport systems that minimize environmental degradation. The scope of coverage extends from small ecosystems to the planet as a whole. Experts from a variety of disciplines address the topic, expressing views across the spectrum from deep pessimism to cautious optimism.
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...
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