Results 11 to 20 of about 7,297,432 (370)

Workflow technology [PDF]

open access: bronzeConference on Organizational Computing Systems, 1995
Keith D. Swenson, K. D. Irwin
openalex   +2 more sources

Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions

open access: yesDe Computis, 2023
In recent years, deep learning (DL) has been the most popular computational approach in the field of machine learning (ML), achieving exceptional results on a variety of complex cognitive tasks, matching or even surpassing human performance.
Mohammad Mustafa Taye
semanticscholar   +1 more source

Survey of Multi-cloud Workflow Scheduling [PDF]

open access: yesJisuanji kexue, 2022
Traditional cloud providers provide services solely for users,which has problems of insufficient local cloud resources and high expansion costs.While the emerging multi-cloud combines services of cloud providers with different geographical locations ...
YU Hao-wen, LIU Bo, ZHOU Na-qin, LIN Wei-wei, LIU Peng
doaj   +1 more source

Workflow Challenges: Does Technology Dictate Workflow? [PDF]

open access: yesThe Serials Librarian, 2009
As libraries build their collections of electronic resources, workflow issues must be addressed. The unique nature of electronic resource processes, from setting up trials and ordering to providing and maintaining access, will often lead libraries to rethink some of their traditional workflows and job responsibilities.
Vicki L. Parsons   +3 more
openaire   +2 more sources

Modified firefly algorithm for workflow scheduling in cloud-edge environment

open access: yesNeural computing & applications (Print), 2022
Edge computing is a novel technology, which is closely related to the concept of Internet of Things. This technology brings computing resources closer to the location where they are consumed by end-users—to the edge of the cloud.
Nebojša Bačanin   +4 more
semanticscholar   +1 more source

A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems [PDF]

open access: yesAtmospheric Measurement Techniques, 2018
A neural-network-based method, quantile regression neural networks (QRNNs), is proposed as a novel approach to estimating the a posteriori distribution of Bayesian remote sensing retrievals.
S. Pfreundschuh   +5 more
doaj   +1 more source

Towards an operational Ice Cloud Imager (ICI) retrieval product [PDF]

open access: yesAtmospheric Measurement Techniques, 2020
The second generation of the EUMETSAT Polar System (EPS-SG) will include the Ice Cloud Imager (ICI), the first operational sensor covering sub-millimetre wavelengths.
P. Eriksson   +6 more
doaj   +1 more source

Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency

open access: yesUltrasonography, 2020
In this review of the most recent applications of deep learning to ultrasound imaging, the architectures of deep learning networks are briefly explained for the medical imaging applications of classification, detection, segmentation, and generation ...
J. Yi   +11 more
semanticscholar   +1 more source

Clinical relevance of digital dentistry during COVID-19 outbreak

open access: yesBrazilian Journal of Oral Sciences, 2021
Aim: To perform a scoped literature review on advantages of digital workflows in dentistry that could be widely adopted to address safety issues raised during the coronavirus (COVID-19) pandemic.
Roberto Adrian Markarian   +5 more
doaj   +1 more source

Design and implementation of customized workflow configuration platform for electric power company

open access: yesEnergy Reports, 2021
As power supply company carries out work to optimize the business environment, much problems such as asymmetric information about electricity consumption of electricity users, poor professional interaction channels and low work efficiency have emerged ...
Wenjing Huang   +7 more
doaj   +1 more source

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