Astropy: A community Python package for astronomy
Astroplan is an observation planning package for astronomers. It is an astropy-affiliated package which began as a Google Summer of Code project. Astroplan facilitates convenien...
Publications
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4,832 publications
The Logic of Collective Action
Olson develops a theory of group and organizational behavior that cuts across disciplinary lines and illustrates the theory with empirical and historical studies of particular o...
BEAST: Bayesian evolutionary analysis by sampling trees
BEAST is a powerful and flexible evolutionary analysis package for molecular sequence variation. It also provides a resource for the further development of new models and statis...
A simple transmit diversity technique for wireless communications
This paper presents a simple two-branch transmit diversity scheme. Using two transmit antennas and one receive antenna the scheme provides the same diversity order as maximal-ra...
Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology
How should we understand why firms exist? A prevailing view has been that they serve to keep in check the transaction costs arising from the self-interested motivations of indiv...
SWISS-MODEL: homology modelling of protein structures and complexes
Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimenta...
A Combined Corner and Edge Detector
The problem we are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general conta...
APE: Analyses of Phylogenetics and Evolution in R language
Abstract Summary: Analysis of Phylogenetics and Evolution (APE) is a package written in the R language for use in molecular evolution and phylogenetics. APE provides both utilit...
An Introduction to Fluid Dynamics
First published in 1967, Professor Batchelor's classic text on fluid dynamics is still one of the foremost texts in the subject. The careful presentation of the underlying theor...
Squeeze-and-Excitation Networks
The central building block of convolutional neural networks (CNNs) is the convolution operator, which enables networks to construct informative features by fusing both spatial a...