Results 31 to 40 of about 3,447,572 (320)
Automated optimization for memory‐efficient high‐performance deep neural network accelerators
ETRI Journal, 2020 The increasing size and complexity of deep neural networks (DNNs) necessitate the development of efficient high‐performance accelerators. An efficient memory structure and operating scheme provide an intuitive solution for high‐performance accelerators ...
HyunMi Kim, Chun‐Gi Lyuh, Youngsu Kwon
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Optimising Sparse Matrix Vector multiplication for large scale FEM problems on FPGA [PDF]
, 2016 Sparse Matrix Vector multiplication (SpMV) is an important kernel in many scientific applications. In this work we propose an architecture and an automated customisation method to detect and optimise the architecture for block diagonal sparse matrices ...
Burovskiy, P +3 more
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A Model-Driven Architecture for Automated Deployment of Microservices
Applied Sciences, 2021 Microservice architecture consists of a collection of loosely coupled, self-contained services that can be deployed independently. Given the limited capacity of the resources for a large number of services, the deployment of the services does not scale ...
Isil Karabey Aksakalli +3 more
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Completely Automated CNN Architecture Design Based on VGG Blocks for Fingerprinting Localisation
International Conference on Indoor Positioning and Indoor Navigation, 2021 WiFi fingerprinting using Convolutional Neural Networks (CNN) is one of the most promising techniques for indoor localisation due to the extraordinary performance of CNN in image classification.
Shreya Sinha, Duc V. Le
semanticscholar +1 more source
AUTOMATED FORMS IN THE ARCHITECTURE. CRITICAL REFLECTIONS
EGA, 2011 Architecture as art within the science has evolved as the construction technology has made it. The morphology of unique buildings, in the last twenty years, is inexorably associated with the use of certain architectural design software, which has opened ...
juan Carlos Piquer Cases
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Nature Communications, 2020 The authors present an automated design approach to propose a new neural network architecture for seismic data analysis. The new architecture classifies multiple seismic reflection datasets at extremely low computational cost compared with conventional ...
Zhi Geng, Yanfei Wang
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Big Data and Cognitive Computing, 2023 The aim of this research is to develop an automated pallet inspection architecture with two key objectives: high performance with respect to defect classification and computational efficacy, i.e., lightweight footprint.
Muhammad Hussain
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System Architecture for Scenario-In-The-Loop Automotive Testing
Transport and Telecommunication, 2021 The paper describes a mixed reality environment for testing highly automated vehicle functions. The proposed Scenario-inthe-Loop test system connects real-time computer simulation with real elements being applicable at automotive proving ground.
Varga Balázs +2 more
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A Microfluidic Platform for Precision Small-volume Sample Processing and Its Use to Size Separate Biological Particles with an Acoustic Microdevice. [PDF]
, 2015 A major advantage of microfluidic devices is the ability to manipulate small sample volumes, thus reducing reagent waste and preserving precious sample. However, to achieve robust sample manipulation it is necessary to address device integration with the
Benett, William J +7 more
core +1 more source
, 2020 Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce energy consumption and travel delays. In this paper, we propose a two-level control architecture for CAVs to optimize (1) the vehicle's speed profile, aimed at ...
Mahbub, A M Ishtiaque +1 more
core +1 more source