Results 21 to 30 of about 5,093,083 (301)

An improved data-free surrogate model for solving partial differential equations using deep neural networks

open access: yesScientific Reports, 2021
Partial differential equations (PDEs) are ubiquitous in natural science and engineering problems. Traditional discrete methods for solving PDEs are usually time-consuming and labor-intensive due to the need for tedious mesh generation and numerical ...
Xinhai Chen   +4 more
doaj   +1 more source

Distributed low-latency out-of-order event processing for high data rate sensor streams

open access: yes, 2022
S.1133-1144Event-based Systems (EBS) are used to detect and analyze meaningful events in surveillance, sports, finances and many other areas. With rising data and event rates and with correlations among these events, sequential event processing becomes ...
Philippsen, Michael   +1 more
core   +1 more source

GBCNN: A Full GPU-Based Batch Multi-Task Cascaded Convolutional Networks

open access: yesIEEE Access, 2019
Recently, the face detection and alignment is so popular and widely used in many research and application fields. Many superior face detection algorithms such as multi-task cascade convolutional network have been presented.
Shijie Li   +4 more
doaj   +1 more source

Distributed top-k aggregation queries at large [PDF]

open access: yes, 2009
Top-k query processing is a fundamental building block for efficient ranking in a large number of applications. Efficiency is a central issue, especially for distributed settings, when the data is spread across different nodes in a network.
Neumann, T.   +17 more
core   +1 more source

An Adversarial Feature Distillation Method for Audio Classification

open access: yesIEEE Access, 2019
The audio classification task aims to discriminate between different audio signal types. In this task, deep neural networks have achieved better performance than the traditional shallow architecture-based machine-learning method.
Liang Gao   +5 more
doaj   +1 more source

Formal derivation of distributed MapReduce [PDF]

open access: yes, 2014
MapReduce is a powerful distributed data processing model that is currently adopted in a wide range of domains to efficiently handle large volumes of data, i.e., cope with the big data surge.
Salehi Fathabadi, Asieh   +9 more
core   +2 more sources

A Role Based Framework for Robot Sensor Management

open access: yesITM Web of Conferences, 2017
Sensors play an important role in the execution of robot tasks as an important component of understanding the world. In this paper, we propose a role-based sensor management framework on ROS (Robot Operating System), in which the role is a set of ...
Wang Ran   +3 more
doaj   +1 more source

A Neural Network-Based Mesh Quality Indicator for Three-Dimensional Cylinder Modelling

open access: yesEntropy, 2022
Evaluating mesh quality prior to performing the computational fluid dynamics (CFD) simulation is an essential step to ensure the acceptable accuracy of cylinder modelling.
Xinhai Chen   +4 more
doaj   +1 more source

Distributed downlink multi-cell processing requiring reduced-rate back-haul data exchange [PDF]

open access: yes, 2011
Different-complexity Multi-Cell Processing (MCP) schemes employing Distributed Signal-to-Interference-Leakage-plus-Noise-Ratio (SILNR) precoding techniques are proposed, which require reduced back-haul data exchange in comparison to the conventional MCP ...
Giridhar, Krishnamurthy   +5 more
core   +1 more source

An Improved Concatenation Scheme of BCH-Polar Codes With Low-Latency Decoding Architecture

open access: yesIEEE Access, 2019
Polar codes have drawn much research attention in the last ten years for their capacity-achieving property. However, their conventional successive cancellation decoding method performs not well at a short or moderate length.
Yu Wang   +3 more
doaj   +1 more source

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