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EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search [PDF]

open access: yesScience China Information Sciences, 2021
Neural architecture search (NAS) methods have been proposed to release human experts from tedious architecture engineering. However, most current methods are constrained in small-scale search due to the issue of computational resources. Meanwhile, directly applying architectures searched on small datasets to large datasets often bears no performance ...
Fang, Jiemin   +7 more
openaire   +2 more sources

FIND OUT THE PRINTING MATRIX OF THE NEAPOLITAN MARKS WITH INVERSE READINGS OF THE SURVEY DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
The paper presents the first results of the metric and geometric investigations carried out in the analysis of the stamps on Greek-Italic amphorae of Neapolitan production, found during the archaeological excavation of Piazza Nicola Amore, in Naples ...
L. Fregonese   +4 more
doaj   +1 more source

FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture [PDF]

open access: yesACM Transactions on Design Automation of Electronic Systems, 2021
With the fast evolvement of embedded deep-learning computing systems, applications powered by deep learning are moving from the cloud to the edge. When deploying neural networks (NNs) onto the devices under complex environments, there are various types of possible faults: soft errors caused by cosmic radiation and radioactive impurities, voltage ...
Ning, Xuefei   +8 more
openaire   +2 more sources

A Dynamic Clustering Mechanism With Load-Balancing for Flying Ad Hoc Networks

open access: yesIEEE Access, 2021
Flying Ad Hoc NETworks (FANETs) are expected to have a significant impact in several use-cases, from smart agriculture and cities, to mission critical scenarios.
Godwin Asaamoning   +2 more
doaj   +1 more source

Scalable NAS with factorizable architectural parameters

open access: yesNeurocomputing, 2022
Neural Architecture Search (NAS) is an emerging topic in machine learning and computer vision. The fundamental ideology of NAS is using an automatic mechanism to replace manual designs for exploring powerful network architectures. One of the key factors of NAS is to scale-up the search space, e.g., increasing the number of operators, so that more ...
Wang, Lanfei   +4 more
openaire   +2 more sources

FP-NAS: Fast Probabilistic Neural Architecture Search [PDF]

open access: yes2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Differential Neural Architecture Search (NAS) requires all layer choices to be held in memory simultaneously; this limits the size of both search space and final architecture. In contrast, Probabilistic NAS, such as PARSEC, learns a distribution over high-performing architectures, and uses only as much memory as needed to train a single model ...
Yan, Zhicheng   +5 more
openaire   +2 more sources

A Diachronic Analysis of the Façades of the Filipino-Spanish Churches of the Diocese of Maasin in the Context of the Slave Raids from the South | Isang Diyakronikong Pagsusuri ng mga Facade ng Pilipino-Espanyol na Simbahan sa Diyosesis ng Maasin sa Konteksto ng mga Pagsalakay ng Alipin mula sa Timog

open access: yesSPAFA Journal, 2023
In the Roman Catholic Diocese of Maasin, on the island of Leyte, Philippines, there remain today seven Filipino-Spanish churches. The oldest among these structures was built in the first half of the 17th century, while the newest was built at the closing
Raffy Andrew Garcia Loreto   +3 more
doaj   +3 more sources

5-Aminolevulinic Acid Improves Morphogenesis and Na+ Subcellular Distribution in the Apical Cells of Cucumis sativus L. Under Salinity Stress

open access: yesFrontiers in Plant Science, 2021
Soil salinity causes damage to plants and a reduction in output. A natural plant growth regulator, 5-aminolevulinic acid (ALA), has been shown to promote plant growth under abiotic stress conditions.
Yue Wu   +11 more
doaj   +1 more source

PRE-NAS

open access: yesProceedings of the Genetic and Evolutionary Computation Conference, 2022
Neural architecture search (NAS) aims to automate architecture engineering in neural networks. This often requires a high computational overhead to evaluate a number of candidate networks from the set of all possible networks in the search space during the search. Prediction of the networks' performance can alleviate this high computational overhead by
Peng, Yameng   +4 more
openaire   +2 more sources

An Application Review of Fiber-Reinforced Geopolymer Composite

open access: yesFibers, 2021
Fiber-reinforced geopolymer composites (FRGCs) were considered in terms of application in various areas, and a review is presented in this article. FRGCs are emerging as environmentally friendly materials, replacing cement in the construction industry ...
Sneha Samal, Ignazio Blanco
doaj   +1 more source

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