Results 11 to 20 of about 135,259 (261)

Architecture of Automated Crypto-Finance Agent [PDF]

open access: yes2021 International Symposium on Knowledge, Ontology, and Theory (KNOTH), 2021
9 pages, 7 ...
Ali Raheman   +4 more
openaire   +2 more sources

Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020

open access: yesFrontiers in Artificial Intelligence, 2022
Graph structured data is ubiquitous in daily life and scientific areas and has attracted increasing attention. Graph Neural Networks (GNNs) have been proved to be effective in modeling graph structured data and many variants of GNN architectures have ...
Zhen Xu   +8 more
doaj   +1 more source

3D architecture viewpoints on service automation [PDF]

open access: yesJournal of Systems and Software, 2013
Service-oriented architecture is an emerging paradigm for the execution of business-oriented as well as technical infrastructure processes by means of services. Automating the execution of services is of paramount importance in order to fulfill the needs of companies.
Qing Gu 0003   +3 more
openaire   +3 more sources

An Architecture for Computer-Aided Detection and Radiologic Measurement of Lung Nodules in Clinical Trials

open access: yesCancer Informatics, 2007
Computer tomography (CT) imaging plays an important role in cancer detection and quantitative assessment in clinical trials. High-resolution imaging studies on large cohorts of patients generate vast data sets, which are infeasible to analyze through ...
Denise R. Aberle   +8 more
doaj   +2 more sources

Interleaving human and search-based software architecture design; pp. 16–26 [PDF]

open access: yesProceedings of the Estonian Academy of Sciences, 2013
An approach for semi-automated design of software architecture is proposed. The approach makes use of a search-based architecture synthesis technique exploiting genetic algorithms. An interactive process of software architecture design is proposed, where
Sriharsha Vathsavayi   +2 more
doaj   +1 more source

Automated optimization for memory‐efficient high‐performance deep neural network accelerators

open access: yesETRI 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
doaj   +1 more source

Automated TruTip nucleic acid extraction and purification from raw sputum. [PDF]

open access: yesPLoS ONE, 2018
Automated nucleic acid extraction from primary (raw) sputum continues to be a significant technical challenge for molecular diagnostics. In this work, we developed a prototype open-architecture, automated nucleic acid workstation that includes a ...
Nitu Thakore   +9 more
doaj   +1 more source

AUTOMATED FORMS IN THE ARCHITECTURE. CRITICAL REFLECTIONS

open access: yesEGA, 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
doaj   +1 more source

Automated design of a convolutional neural network with multi-scale filters for cost-efficient seismic data classification

open access: yesNature 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
doaj   +1 more source

YOLO-v5 Variant Selection Algorithm Coupled with Representative Augmentations for Modelling Production-Based Variance in Automated Lightweight Pallet Racking Inspection

open access: yesBig 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
doaj   +1 more source

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