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Journal of Grid Computing

From Grids to Cloud Federations

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Blockchain Theories and Applications

Blockchain technology is increasingly becoming prevalent in application domains that require trustless exchanges in decentralized environments. As centralized business applications are based on the notion of...
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Closed

Knowledge Discovery in Big Data

Technological advancements pertaining to big data such as artificial intelligence, business analytics, data mining and machine learning, help greatly in making the right decisions at the right time. The WWW ...
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Closed

Large Scale Cooperative Virtual Environments

The huge diffusion of distributed networked cooperative applications is due to the recent advances in the area of networking. Several novel applications have emerged in this area: social networks, distribute...
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Closed

Machine Learning at the Edge for the Cloud Continuum

This special issue focuses on theoretical and practical approaches to developing and deploying Machine Learning algorithms successfully at the smart edge devices with the High-Performance Edge Computing mode...
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Closed

Math for SDG 11 - Sustainable Cities and Communities

MAKE CITIES AND HUMAN SETTLEMENTS INCLUSIVE, SAFE, RESILIENT AND SUSTAINABLE. We invite you to browse our SDG11-related publications on the Springer Nature SDG11-Hub. The world’s population is constantly inc...
Submission status
Open
Submission deadline
Ongoing

Math for SDG 7 - Affordable and Clean Energy

ENSURE ACCESS TO AFFORDABLE, RELIABLE, SUSTAINABLE AND MODERN ENERGY FOR ALL. The Springer Nature SDG7-Hub explores, how we can address this global challenge posed by the UN SDG7, Affordable and Clean Energy...
Submission status
Open
Submission deadline
Ongoing

Math for SDG 9 - Industry, Innovation and Infrastructure

BUILD RESILIENT INFRASTRUCTURE, PROMOTE INCLUSIVE AND SUSTAINABLE INDUSTRIALIZATION AND FOSTER INNOVATION. Explore contributions to this important goal on the Springer Nature SDG9-Hub. UN SDG9 has a focus on...
Submission status
Open
Submission deadline
Ongoing

Reservoir Computing: Trends and Future Prospects

Reservoir Computing (RC) has the knowledge and data to predict the placement of a point with time, it is now being used in time series prediction, ESN predictors, etc. In the field of biology, RC is used in ...
Submission status
Closed

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