Results 21 to 30 of about 25,322,466 (386)

Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri–Planning

open access: yesISPRS International Journal of Geo-Information, 2022
Identifying suitable watersheds is a prerequisite to operationalizing planning interventions for agricultural development. With the help of geospatial tools, this paper identified suitable watersheds across Nigeria using biophysical parameters to aid ...
Pranay Panjala   +5 more
doaj   +1 more source

A brief survey on big data: technologies, terminologies and data-intensive applications

open access: yesJournal of Big Data, 2022
The technical advancements and the availability of massive amounts of data on the Internet draw huge attention from researchers in the areas of decision-making, data sciences, business applications, and government. These massive quantities of data, known
H. B. Abdalla
semanticscholar   +1 more source

Acknowledgement to Reviewers of Big Data and Cognitive Computing in 2018

open access: yesBig Data and Cognitive Computing, 2019
Rigorous peer-review is the corner-stone of high-quality academic publishing [...]
Big Data and Cognitive Computing Editorial Office
doaj   +1 more source

Exploring the causal pathway from ischemic stroke to atrial fibrillation: a network Mendelian randomization study

open access: yesMolecular Medicine, 2020
Background and purpose Previous studies have found ischemic stroke is associated with atrial fibrillation. However, the causal association between ischemic stroke and atrial fibrillation is not clear.
Lei Hou   +10 more
doaj   +1 more source

CatBoost for big data: an interdisciplinary review

open access: yesJournal of Big Data, 2020
Gradient Boosted Decision Trees (GBDT’s) are a powerful tool for classification and regression tasks in Big Data. Researchers should be familiar with the strengths and weaknesses of current implementations of GBDT’s in order to use them effectively and ...
John T. Hancock, T. Khoshgoftaar
semanticscholar   +1 more source

Big Data, Big Knowledge: Big Data for Personalized Healthcare

open access: yesIEEE Journal of Biomedical and Health Informatics, 2015
The idea that the purely phenomenological knowledge that we can extract by analyzing large amounts of data can be useful in healthcare seems to contradict the desire of VPH researchers to build detailed mechanistic models for individual patients. But in practice no model is ever entirely phenomenological or entirely mechanistic.
Viceconti, M., Hunter, P., Hose, R.
openaire   +4 more sources

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning [PDF]

open access: yesChemical Reviews, 2020
By combining metal nodes with organic linkers we can potentially synthesize millions of possible metal–organic frameworks (MOFs). The fact that we have so many materials opens many exciting avenues but also create new challenges.
K. Jablonka   +3 more
semanticscholar   +1 more source

Big data

open access: yesInternational Journal of Engineering Technologies and Management Research, 2020
Data and massive data collection increasingly define political and economic citizenship. Data infrastructure such as open data portals and data visualization platforms funnel citizen participation, capturing much of the contemporary imaginary of activists and ordinary users alike.
openaire   +7 more sources

Big data and humanitarian supply networks: Can Big Data give voice to the voiceless? [PDF]

open access: yes, 2013
This is the author's accepted manuscript. The final published article is available from the link below. Copyright © 2013 IEEE.Billions of US dollars are spent each year in emergency aid to save lives and alleviate the suffering of those affected by ...
Lycett, M, Monaghan, A
core   +1 more source

BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model

open access: yesEURASIP Journal on Wireless Communications and Networking, 2022
Studies on the checked-in point-of-interests have become an important means to learn user’s behavior. Nevertheless, users do not sign in to all visited locations. There are unobserved check-in locations in the generated POI trajectory.
Jun Zeng   +5 more
doaj   +1 more source

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