Results 31 to 40 of about 2,985,531 (342)
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2018 Deep learning has recently seen rapid development and received significant attention due to its state-of-the-art performance on previously-thought hard problems. However, because of the internal complexity and nonlinear structure of deep neural networks,
Fred Hohman +3 more
semanticscholar +1 more source
Deep learning applications and challenges in big data analytics
Journal of Big Data, 2015 Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information
M. M. Najafabadi +5 more
semanticscholar +1 more source
British Journal of Management, 2019 With big data analytics growing rapidly in popularity, academics and practitioners have been considering the means through which they can incorporate the shifts these technologies bring into their competitive strategies.
Patrick Mikalef +3 more
semanticscholar +1 more source
RAM. Revista de Administração Mackenzie, 2020 Purpose: Propose a research model that involves the conceptual relationships between the theoretical support of the absorptive capacity and analytics, emphasizing the way in which the tool contributes to the formation of absorptive capacity within the ...
Rodrigo Ferreira +2 more
doaj +1 more source
, 2019 Data analytics have emerged in recent years as a family of overlapping, competing and hybridising products and practices. They have been championed by technology companies, academics, business users and governments alike, and in a short period of time have earned business developers and adopters billions of pounds in revenue and unprecedented levels of
Shepherd, Ifan D. H., Hearne, Gary
openaire +1 more source
A survey of visual analytics techniques for machine learning [PDF]
Computational Visual Media, 2020 Visual analytics for machine learning has recently evolved as one of the most exciting areas in the field of visualization. To better identify which research topics are promising and to learn how to apply relevant techniques in visual analytics, we ...
Jun Yuan +5 more
semanticscholar +1 more source
DATA DRIVEN SMART CITIES: INTEGRATING THE POWER OF 5G COMPUTING [PDF]
Proceedings on Engineering SciencesThe fifth generation of mobile networks is going to transform the way we live, work, and communicate. The shift from 4G to 5G would be a crucial enabler for the growth of smart cities due to its superior speed and minimal latency.
Samarth Sharma +2 more
doaj +1 more source
Device- and Analytics-Agnostic Infrastructure for Continuous Inpatient Monitoring: A Technical Note
Digital Biomarkers, 2020 The internet of healthcare things aims at connecting biosensors, clinical information systems and electronic health dossiers. The resulting data expands traditionally available diagnostics with digital biomarkers.
Noé Brasier +6 more
doaj +1 more source
Analytics and innovation management: Does big data play any role? [PDF]
Business & IT, 2023 This particular analysis explores the connection between firms' application of data analytics (specifically it's attributes) together with the revolutionary functionality of company.
Arthur Paul Christenson Jr.
doaj +1 more source
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2016 The theory of inhomogeneous analytic materials is developed. These are materials where the coefficients entering the equations involve analytic functions. Three types of analytic materials are identified. The first two types involve an integerp. Ifptakes its maximum value, then we have a complete analytic material.
openaire +4 more sources