The Reservoir model and architecture for open federated cloud computing [PDF]
The emerging cloud-computing paradigm is rapidly gaining momentum as an alternative to traditional IT (information technology). However, contemporary cloud-computing offerings are primarily targeted for Web 2.0-style applications. Only recently have they
Levy, Eliezer +31 more
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Hierarchical Memcapacitive Reservoir Computing Architecture
The quest for novel computing architectures is currently driven by (1) machine learning applications and (2) the need to reduce power consumption. To address both needs, we present a novel hierarchical reservoir computing architecture that relies on ...
Tran, S. J. Dat +3 more
core +4 more sources
Optimization of Reservoir Waterflooding [PDF]
Waterflooding is a common type of oil recovery techniques where water is pumped into the reservoir for increased productivity. Reservoir states change with time, as such, different injection and production settings will be required to lead the process
Grema, Alhaji Shehu
core +7 more sources
Reservoir computing architectures for modeling robot navigation systems [PDF]
This thesis proposes a new efficient and biologically inspired way of modeling navigation tasks for autonomous mobile robots having restrictions on cost, energy consumption, and computational complexity (such as household and assistant robots).
ANTONELO, Eric Aislan, Antonelo, Eric
core +4 more sources
Architecture of fluvio-deltaic sandbodies: the Namurian of Co. Clare, Ireland, as an analogue for the Plio-Pleistocene of the Nile Delta [PDF]
Understanding and predicting the size, shape and internal architecture of sandbodies is of fundamental importance in hydrocarbon exploration. High quality hydrocarbon reservoirs are often formed in deltaic environments where there is a complex interplay ...
Stirling, Eleanor Jane
core +7 more sources
Hierarchical architectures in reservoir computing systems
Abstract Reservoir computing (RC) offers efficient temporal data processing with a low training cost by separating recurrent neural networks into a fixed network with recurrent connections and a trainable linear network. The quality of the fixed network, called reservoir, is the most important factor that determines the performance of ...
John Moon, Yuting Wu, Wei D. Lu
openaire +3 more sources
Architecture and dynamics of magma reservoirs [PDF]
This introductory article provides a synopsis of our current understanding of the form and dynamics of magma reservoirs in the crust. This knowledge is based on a range of experimental, observational and theoretical approaches, some of which are multidisclipinary and pioneering.
Edmonds, Marie +3 more
openaire +4 more sources
Architectural richness in deep reservoir computing
Reservoir computing (RC) is a popular class of recurrent neural networks (RNNs) with untrained dynamics. Recently, advancements on deep RC architectures have shown a great impact in time-series applications, showing a convenient trade-off between predictive performance and required training complexity.
Gallicchio C., Micheli A.
openaire +3 more sources
A conceptual model for glaciogenic reservoirs: From landsystems to reservoir architecture [PDF]
Abstract Glaciogenic sediments are present in many hydrocarbon-producing basins across the globe but their complex nature makes it difficult to characterise the reservoir-quality sedimentary units. Despite this, Ordovician glacial deposits in North Africa, and Carboniferous-Permian glaciogenic sequences in the Middle East, have been proven to host ...
Bartosz Kurjanski +5 more
openaire +2 more sources
A study of reservoir architecture of Dengying formation in Gsoshiti-Moxi area, Sichuan Basin
There is a largest complete carbonate gas reservoir so far found in the mid of Sichuan Gaoshiti-Moxi area. Influenced by multi-period tectonic movement, this reservoir presents complex characteristics of diagenesis and reservoir formation.
Xiuquan HU +6 more
doaj +1 more source

