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Czego nie mówią politycy, powie wam big data [PDF]

Dyskurs & Dialog, 2020
Artykuł ten jest opisem analizy języka, jakim posługują się politycy na Twitterze z podziałem na frakcje polityczne i wykorzystanie algorytmów uczenia maszynowego.
Mateusz Dobrowolski, Paweł Kalisz
doaj   +1 more source

LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery

Remote Sensing, 2022
Convolutional neural networks have attracted much attention for their use in the semantic segmentation of remote sensing imagery. The effectiveness of semantic segmentation of remote sensing images is significantly influenced by contextual information ...
Yan Chen, Wenxiang Jiang, Mengyuan Wang, Menglei Kang, Thomas Weise, Xiaofeng Wang, Ming Tan, Lixiang Xu, Xinlu Li, Chen Zhang   +9 more
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Big Data [PDF]

International Journal of Pharmacy Practice, 2018
Peer ...
Jeffrey H. Johnson, Peter J. Denning, Kemal A. Delic, David Sousa-Rodrigues   +3 more
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Adaptive Local Cross-Channel Vector Pooling Attention Module for Semantic Segmentation of Remote Sensing Imagery

Remote Sensing, 2023
Adding an attention module to the deep convolution semantic segmentation network has significantly enhanced the network performance. However, the existing channel attention module focusing on the channel dimension neglects the spatial relationship ...
Xiaofeng Wang, Menglei Kang, Yan Chen, Wenxiang Jiang, Mengyuan Wang, Thomas Weise, Ming Tan, Lixiang Xu, Xinlu Li, Le Zou, Chen Zhang   +10 more
doaj   +1 more source

Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data

, 2023
Big data is a combination of large structured, semistructured, and unstructured data collected from various sources that must be processed before using them in many analytical applications.
González-Crespo, Rubén, Moparthi, Nageswara Rao, Rathipriya, R., Dhamodharavadhani, S., Namasudra, Suyel   +4 more
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Acknowledgement to Reviewers of Big Data and Cognitive Computing in 2018

Big Data and Cognitive Computing, 2019
Rigorous peer-review is the corner-stone of high-quality academic publishing [...]
Big Data and Cognitive Computing Editorial Office
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Spatial and Temporal Interaction Coupling of Digital Economy, New-Type Urbanization and Land Ecology and Spatial Effects Identification: A Study of the Yangtze River Delta

Land, 2023
In the digital era, the contradiction between regional urban development and land ecological protection is still prominent. Clarifying the relationship and internal interaction logic among digital economy (DE), new-type urbanization (NU), and land ...
Yuqi Zhu, Siwei Shen, Linyu Du, Jun Fu, Jian Zou, Lina Peng, Rui Ding   +6 more
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Exploring the causal pathway from ischemic stroke to atrial fibrillation: a network Mendelian randomization study

Molecular 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, Mingqing Xu, Yuanyuan Yu, Xiaoru Sun, Xinhui Liu, Lu Liu, Yunxia Li, Tonghui Yuan, Wenchao Li, Hongkai Li, Fuzhong Xue   +10 more
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Study on the Evolution and Resilience of Rail Transit Time Networks—Evidence from China

Applied Sciences, 2022
In the network operation and management of rail transit systems, the occurrence of unexpected events causes damage to the network structure, further hindering regional accessibility performance and the function of the system.
Rui Ding, Linyu Du, Yiming Du, Jun Fu, Yuqi Zhu, Yilin Zhang, Lina Peng   +6 more
doaj   +1 more source

CGIAR Platform for Big Data in Agriculture - Plan of Work and Budget 2021 [PDF]

, 2021
The CGIAR Platform for Big Data in Agriculture is a cross-cutting program of the global CGIAR consortium of non-profit research institutes looking into virtually every aspect of food security spanning: genomics, breeding, agroecology, climate science ...
CGIAR Platform for Big Data in Agriculture
core