Results 11 to 20 of about 914,980 (369)
Frontiers in Neuroinformatics, 2012 As neuroimaging databases grow in size and complexity, the time researchers spend investigating and managing the data increases to the expense of data analysis. As a result, investigators rely more and more heavily on scripting using high-level languages
Yannick eSchwartz +8 more
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Nature, 1879 THE attack of a constrictor, at all events in confinement, is very often unsuccessful; but perhaps this may be because the reptile is not hungry. I have often seen the constrictors in the London Zoological Gardens strike several times at birds, pulling out feathers and even getting a firm hold and then releasing their prey, to renew the attack ...
ARTHUR NICOLS
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Frontiers in Neuroinformatics, 2015 Frontiers in neuroinformatics 9, 11 (2015).
Eilif eMuller +7 more
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Analysing high-throughput sequencing data in Python with HTSeq 2.0 [PDF]
Bioinform., 2021 Summary HTSeq 2.0 provides a more extensive application programming interface including a new representation for sparse genomic data, enhancements for htseq-count to suit single-cell omics, a new script for data using cell and molecular barcodes ...
Givanna H. Putri +4 more
semanticscholar +1 more source
Computational Linguistics, 2021 The abstract is available here: https://uscholar.univie.ac.at/o ...
Roth, Benjamin, Wiegand, Michael
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A case of obstructive asphyxia in Python (Python molurus)
Zoos' Print Journal, 2000 Piyush Mehrotra +3 more
+4 more sources
PyThaiNLP: Thai Natural Language Processing in Python [PDF]
NLPOSS, 2023 We present PyThaiNLP, a free and open-source natural language processing (NLP) library for Thai language implemented in Python. It provides a wide range of software, models, and datasets for Thai language.
Wannaphong Phatthiyaphaibun +8 more
semanticscholar +1 more source
Frontiers in Neuroinformatics, 2009 The NEURON simulation program now allows Python to be used, alone or in combination with NEURON's traditional Hoc interpreter. Adding Python to NEURON has the immediate benefit of making available a very extensive suite of analysis tools written for engineering and science.
Hines, Michael L +2 more
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Digital/Analog Performance Optimization of Vertical Nanowire FETs Using Machine Learning
IEEE Access, 2021 Vertical nanowire field-effect transistors (NWFETs) have been optimized to maximize digital and analog performances using fully-calibrated TCAD and machine learning (ML) technique.
Jun-Sik Yoon +3 more
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Pymoo: Multi-Objective Optimization in Python [PDF]
IEEE Access, 2020 Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these research fields, more optimization related frameworks ...
Julian Blank, K. Deb
semanticscholar +1 more source