Results 91 to 100 of about 22,479,017 (258)

Big Data: Understanding Big Data

open access: yes, 2016
Steve Jobs, one of the greatest visionaries of our time was quoted in 1996 saying "a lot of times, people do not know what they want until you show it to them" [38] indicating he advocated products to be developed based on human intuition rather than research. With the advancements of mobile devices, social networks and the Internet of Things, enormous
openaire   +2 more sources

NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model

open access: yesBMC Bioinformatics
Background Nanobodies, also known as VHH or single-domain antibodies, are unique antibody fragments derived solely from heavy chains. They offer advantages of small molecules and conventional antibodies, making them promising therapeutics.
Shangru Li   +4 more
doaj   +1 more source

Big Data And Big Science

open access: yes, 2014
Brief introduction to the challenges of big data in scientific research based on the work done by the HEP community at CERN and how the CERN openlab promotes collaboration among research institutes and industrial IT companies. Presented at the FutureGov 2014 conference in Singapore.
openaire   +2 more sources

A bigger bang for your buck: Enhanced access to your chick data [PDF]

open access: bronze, 2004
Parker B. Antin   +2 more
openalex   +1 more source

Siamese network with squeeze-attention for incomplete multi-view multi-label classification

open access: yesComplex & Intelligent Systems
Multi-view multi-label classification (MvMLC) has garnered significant interest because of its ability to handle complex datasets. However, the inherent complexity of real-world data often results in incomplete views and missing labels, which limit the ...
Mengqing Wang   +4 more
doaj   +1 more source

AANet: Adaptive Attention Networks for Semantic Segmentation of High-Resolution Remote Sensing Imagery

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Contextual information can effectively aid deep-learning models in extracting interclass and intraclass difference features in remote sensing images.
Yan Chen   +8 more
doaj   +1 more source

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