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Acknowledgment to Reviewers of Big Data and Cognitive Computing in 2020

Big Data and Cognitive Computing, 2021
Rigorous peer-review is the corner-stone of high-quality academic publishing [...]
Big Data and Cognitive Computing Editorial Office
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VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography

Scientific Data, 2023
Mammography, or breast X-ray imaging, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe/x) tools have been developed to ...
Hieu T. Nguyen, Ha Q. Nguyen, Hieu H. Pham, Khanh Lam, Linh T. Le, Minh Dao, Van Vu   +6 more
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Acknowledgement to Reviewers of Big Data and Cognitive Computing in 2019

Big Data and Cognitive Computing, 2020
Rigorous peer-review is the corner-stone of high-quality academic publishing [...]
Big Data and Cognitive Computing Editorial Office
doaj   +1 more source

Using Vodafone mobile phone network data to provide insights into citizens mobility in Italy during the Coronavirus outbreak

Data & Policy, 2021
In this paper, we present the work conducted by Vodafone to enrich the understanding of people movement in Italy during the outbreak of the Coronavirus in 2020, and the tool developed to support the decisions taken by the authorities during that period ...
Francesco Calabrese, Enrico Cobelli, Vincenzo Ferraiuolo, Giovanni Misseri, Fabio Pinelli, Daniel Rodriguez   +5 more
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Visual Construction of Logical AND and NAND Gates

Journal of Chemistry, 2022
DNA logic gates are an important branch of DNA computing and have a wide range of applications in DNA computing. In this study, logic circuits of AND gate and NAND gate are built on origami substrate.
Xiyuan Wang, Zhixiang Yin, Zhen Tang, Jing Yang, Jianzhong Cui, Rujie Xu   +5 more
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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
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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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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
doaj   +1 more source

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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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
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