Results 11 to 20 of about 25,322,466 (386)
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 +9 more
doaj +1 more source
Big data in basic and translational cancer research
Nature Reviews. Cancer, 2022 Historically, the primary focus of cancer research has been molecular and clinical studies of a few essential pathways and genes. Recent years have seen the rapid accumulation of large-scale cancer omics data catalysed by breakthroughs in high-throughput
Peng Jiang +5 more
semanticscholar +1 more source
Journal of Big Data, 2016 Using a random sample consisting of hundreds of companies worldwide, we are testing the impact on company performance of investing in big data projects targeted on three major business domains (namely, customer interface, company supply chain and competitors).
Jacques Bughin +2 more
openaire +3 more sources
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 +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 +6 more
semanticscholar +1 more source
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 +6 more
doaj +1 more source
Big Data and Cognitive Computing, 2022 Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations. Currently, along with the recent development in machine learning and computing infrastructure, big data analytics ...
In Lee, George Mangalaraj
semanticscholar +1 more source
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 +6 more
doaj +1 more source
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 +4 more
semanticscholar +1 more source
Big Data and Cognitive Computing, 2022 In recent decades, big data analysis has become the most important research topic. Hence, big data security offers Cloud application security and monitoring to host highly sensitive data to support Cloud platforms.
Mohan Naik Ramachandra +5 more
semanticscholar +1 more source