Yanan Sun – författare

Serpulid polychaetes are a unique and highly specialised group of marine segmented worms that have adapted to inhabiting self-secreted calcareous tubes attached to a wide range of hard substrates. These animals are found across all depths and habitats of the world’s oceans, and some form mutually beneficial associations with live corals. The genus Hydroides is of special concern and importance, as it is not only the largest, but also one of the most ecologically and economically important groups of marine invertebrates because it includes notorious biofoulers and common bioinvaders that travel around the world hitchhiking on ships’ hulls.

This is the first fully illustrated guide to this notorious serpulid genus of calcareous tubeworms, providing a comprehensive diagnostic treatment of all known species of the genus Hydroides. This important reference provides reliable identification tools to distinguish Australian tubeworms from potential alien invaders that constantly arrive from overseas and threaten Australia’s maritime transport, trade and mariculture.

This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks. The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields.