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Biological

  • 2005 Center for Biological & Computational Learning at MIT and MIT All rights reserved. Permissio

    2005 Center for Biological & Computational Learning at MIT and MIT All rights reserved. Permission to copy and modify this data, software, and its documentation only for internal research use in your organization is hereby granted, provided that this notice is retained thereon and on all copies. This data and software should not be distributed to anyone outside of your organization without explicit written authorization by the author(s) and MIT.

    標簽: Computational Biological MIT Permissio

    上傳時間: 2014-01-27

    上傳用戶:gaome

  • A Monte-Carlo Maplet for the Study of the Optical Properties of Biological Tissues

    A Monte-Carlo Maplet for the Study of the Optical Properties of Biological Tissues

    標簽: Monte-Carlo Biological Properties the

    上傳時間: 2014-01-09

    上傳用戶:liansi

  • Swarm intelligence is an innovative computational way to solving hard problems. This discipline is

    Swarm intelligence is an innovative computational way to solving hard problems. This discipline is inspired by the behavior of social insects such as fish schools and bird flocks and colonies of ants, termites, bees and wasps. In general, this is done by mimicking the behavior of the Biological creatures within their swarms and colonies.

    標簽: computational intelligence innovative discipline

    上傳時間: 2014-01-14

    上傳用戶:小儒尼尼奧

  • We describe and demonstrate an algorithm that takes as input an unorganized set of points fx1И

    We describe and demonstrate an algorithm that takes as input an unorganized set of points fx1􀀀    􀀀 xng 􀀀 IR3 on or near an unknown manifold M, and produces as output a simplicial surface that approximates M. Neither the topology, the presence of boundaries, nor the geometry of M are assumed to be known in advance — all are inferred automatically from the data. This problem naturally arises in a variety of practical situations such as range scanning an object from multiple view points, recovery of Biological shapes from two-dimensional slices, and interactive surface sketching.

    標簽: demonstrate unorganized algorithm describe

    上傳時間: 2013-12-18

    上傳用戶:xc216

  • Cooperation in Wireless Networks

    Cooperation has been the subject of intensive study in the social and Biological sciences, as well as in mathematics and artificial intelligence. The fundamental finding is that even egoists can sustain cooperation provided the structure of their environment allows for repeated interactions (Axelrod 1984).

    標簽: Cooperation Wireless Networks in

    上傳時間: 2020-05-27

    上傳用戶:shancjb

  • Bio-MEMS - Technologies and Applications

    Applications of microelectromechanical systems (MEMS) and microfabrica- tion have spread to different fields of engineering and science in recent years. Perhaps the most exciting development in the application of MEMS technol- ogy has occurred in the Biological and biomedical areas. In addition to key fluidic components, such as microvalves, pumps, and all kinds of novel sensors that can be used for Biological and biomedical analysis and mea- surements, many other types of so-called micro total analysis systems (TAS) have been developed.

    標簽: Applications Technologies Bio-MEMS and

    上傳時間: 2020-06-06

    上傳用戶:shancjb

  • Machine Learning and IoT

    The present era of research and development is all about interdisciplinary studies attempting to better comprehend and model our understanding of this vast universe. The fields of biology and computer science are no exception. This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine—from storing enormous amounts of Biological data to solving complex Biological problems and enhancing the treatment of various diseases.

    標簽: Learning Machine IoT and

    上傳時間: 2020-06-10

    上傳用戶:shancjb

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