Results 171 to 180 of about 1,951,042 (216)

The extent of pulmonary vein electrical connection and sex are independent predictors of the mechanistic role of pulmonary veins in persistent atrial fibrillation. [PDF]

open access: yesJ Interv Card Electrophysiol
Marchetti M   +9 more
europepmc   +1 more source

Intelligent cloud-based RAS management: integration of DDPG reinforcement learning with AWS IoT for optimized aquaculture production. [PDF]

open access: yesSci Rep
Elmessery WM   +8 more
europepmc   +1 more source

Integrating FATE/critical data studies into data science curricula

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020
There have been multiple calls for integrating topics related to fairness, accountability, transparency, ethics (FATE) and social justice into Data Science curricula, but little exploration of how this might work in practice. This paper presents the findings of a collaborative auto-ethnography (CAE) engaged in by a MSc Data Science teaching team based ...
Bates, Jo   +8 more
openaire   +2 more sources

Data-driven Critical Zone science: A new paradigm

Science of The Total Environment, 2016
This paper uses examples from Australia to argue for a new approach to integrative research in the Earth's near surface environment where the pedosphere, atmosphere, hydrosphere, and biosphere interact, the so-called 'Critical Zone'. In Australia, for around 25years, environmental data layers presented through Geographical Information Systems software ...
openaire   +2 more sources

Data Science and Graduate Nursing Education

Clinical Nurse Specialist, 2020
Background The emergence of big data and data science offers unprecedented opportunities for accelerating scientific advances in nursing, yet current nursing curricula are not adequate to prepare students to leverage those opportunities.
Marva, Foster, Zarin, Tasnim
openaire   +2 more sources

Critical data points-based unsupervised linear dimension reduction technology for science data

The Journal of Supercomputing, 2015
Recent advances in machine learning and data mining have led to powerful methods for the analysis and visualization of high dimensional data. This paper proposes an unsupervised linear dimension reduction algorithm named critical points preserving projection (CPPP). Selecting some key data points to represent the others has become more and more popular
Di Wu   +3 more
openaire   +1 more source

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