Results 11 to 20 of about 25,203,054 (312)

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
doaj   +1 more source

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

Data mining in clinical big data: the frequently used databases, steps, and methodological models

Military Medical Research, 2021
Many high quality studies have emerged from public databases, such as Surveillance, Epidemiology, and End Results (SEER), National Health and Nutrition Examination Survey (NHANES), The Cancer Genome Atlas (TCGA), and Medical Information Mart for ...
Wen-Tao Wu, Yuan-jie Li, Aozi Feng, Li Li, Tao Huang, A. Xu, Jun Lyu   +6 more
semanticscholar   +1 more source

The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities

IEEE Access, 2021
Digital twinning is one of the top ten technology trends in the last couple of years, due to its high applicability in the industrial sector. The integration of big data analytics and artificial intelligence/machine learning (AI-ML) techniques with ...
M. M. Rathore, Syed Attique Shah, Dhirendra Shukla, Elmahdi Bentafat, S. Bakiras   +4 more
semanticscholar   +1 more source

Big data

International 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

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

Addressing bias in big data and AI for health care: A call for open science

Patterns, 2021
Summary Artificial intelligence (AI) has an astonishing potential in assisting clinical decision making and revolutionizing the field of health care. A major open challenge that AI will need to address before its integration in the clinical routine is ...
Natalia Norori, Qiyang Hu, F. M. Aellen, F. Faraci, Athina Tzovara   +4 more
semanticscholar   +1 more source

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

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
doaj   +1 more source

CatBoost for big data: an interdisciplinary review

Journal 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