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Python is a very popular programming language among data scientists around the world. Python can also be used in hyperspectral data analysis. There are some toolboxes designed for spectral imaging, su...
This symposium aims at addressing critical needs in the emerging fields of hybrid integrated nanophotonics including plasmonics and plasmonic metamaterials to overcome existing limitations hindering t...
Over the last three years, there has been an increase in the range of ionic liquids (ILs) utilised and significant advances in our understanding of the fundamental aspects of these materials. Therefor...
Resonance Stark effects are nonclassical Stark effects associated with excited-state charge-transfer processes. The theory of resonance Stark effects developed in Part 2 of this series is generalized ...
We present a practical high-speed quantum random number generator, where the timing of single-photon detection relative to an external time reference is measured as the raw data. The bias of the raw d...
In this paper we analyze a two-step detection scheme for use in distributed sensor systems (e.g. statistical MIMO radar). The scheme arises when a data rate restriction forces each of the distributed ...
The advent of satellite-based elevation dataset acquired by Shuttle Radar Topography Mission (SRTM) made new and novel techniques possible to model hydrological process in midsize to large scale water...
The key word in the title of John Heine's thorough and extensively referenced book on scientific diving techniques is "practical." The book is not only packed with clear descriptions of the huge varie...
Airborne laser scanning, often referred to as lidar or laser altimetry, is a remote sensing technique which measures the round-trip time of emitted laser pulses to determine the topography of the Ea...
The advent of satellite-based elevation dataset acquired by Shuttle Radar Topography Mission (SRTM) made new and novel techniques possible to model hydrological process in midsize to large scale water...
Geodynamic modeling is often related with challenging computations involving solution of the Stokes and continuity equations under the condition of highly variable viscosity. Based on a new analytical...
本书内容全面,包括应用软件、网络资源、序列分析和利用核酸序列与蛋白质序列进行预测的的方法。以下是该书的目录:1、因特网与生物学家,2、GenBank序列数据库,3、结构数据库,4、应用GCG进行序列分析,5、生物数据库的信息检索,6、NCBI数据模型,7、序列比对和数据库搜索,8、多序列比对和实际应用,9、系统发育分析,10、利用核酸序列的预测方法,11、利用蛋白质序列的预测方法,12、鼠类和人类...
he emerging field of compressed sensing has potentially powerful implications for the design of optical imaging devices. In particular, compressed sensing theory suggests that one can recover a scene ...
The variety of definitions of Fourier transforms can create confusion for practical applications. This paper examines the choice of formulas for Fourier transforms and determines the appropriate choic...
A practical recipe to fit discrete power-law distributions     practical recipe  discrete power-law  distributions       font style='font-size:12px;'> 2012/11/22
Power laws pervade statistical physics and complex systems, but, traditionally, researchers in these fields have paid little attention to properly fit these distributions. Who has not seen (or even sh...

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