Titlebook: piRNA; Methods and Protocol Nicholas F. Parrish,Yuka W. Iwasaki Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive

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Shuting Shen,Masahiro Naganuma,Yukihide Tomari,Hisashi Tadakumaalization can reduce the impact of uncertainties in HEP expe.This thesis presents significant advances in the use of neural networks to study the properties of neutrinos. Machine learning tools like neural networks (NN) can be used to identify the particle types or determine their energies in detect

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Wan Kin Au Yeung,Hiroyuki Sasakiuman-computer interfaces, are becoming more evident. In several in-house development projects, methods for efficiently capturing and utilising domain knowledge have been defined and tested (e.g., through the definition of domain specific style guides and analysis of information utilisation). Also, m

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Abd-El Monsif Shawky,Mahmoud Dondeti,Zissimos Mourelatos,Anastasios Vourekasems. Biology tells us that complex, natural systems are not created all at once but must instead evolve over time. We are becoming increasingly aware that evolutionary processes are ubiquitous and critical for technological innovations as well. This is particularly true for complex software systems

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Saori Yokoi,Shinichi Nakagawamal specification techniques, and prototyping into a coherent framework. This allows the domain and task model of a kbs to be described on different formalization levels. All activities in the building process are embedded in a cyclic life cycle model. For the semiformal representation we use a hype

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