Deep Learning Design for Sustainable Innovation within Shifting Learning Landscapes

Sustaining TEL: From Innovation to Learning and Practice - Lecture Notes in Computer Science ◽

10.1007/978-3-642-16020-2_57 ◽

2010 ◽

pp. 578-583 ◽

Author(s):

Andrew Ravenscroft ◽

Tom Boyle ◽

John Cook ◽

Andreas Schmidt

Keyword(s):

Deep Learning ◽

Learning Design ◽

Sustainable Innovation

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A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32239-7_11 ◽

2019 ◽

pp. 93-101 ◽

Author(s):

Ricardo J. Araújo ◽

Jaime S. Cardoso ◽

Hélder P. Oliveira

Keyword(s):

Deep Learning ◽

Blood Vessel ◽

Vessel Segmentation ◽

Learning Design ◽

Blood Vessel Segmentation

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A Study of Blended Learning Design to Promote Deep Learning

Proceedings of the 2018 International Conference on Management and Education, Humanities and Social Sciences (MEHSS 2018) ◽

10.2991/mehss-18.2018.91 ◽

2018 ◽

Author(s):

Yanmei Zhou ◽

Zhi Zhang

Keyword(s):

Deep Learning ◽

Blended Learning ◽

Learning Design

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A Real-time Deep Learning Design Tool for Far-Field Radiation Profile

Photonics Research ◽

10.1364/prj.413567 ◽

2021 ◽

Author(s):

Jinran Qie ◽

Erfan Khoram ◽

Dianjing Liu ◽

Ming Zhou ◽

Li Gao

Keyword(s):

Deep Learning ◽

Real Time ◽

Design Tool ◽

Far Field ◽

Learning Design ◽

Field Radiation ◽

Radiation Profile

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Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study

The Lancet Digital Health ◽

10.1016/s2589-7500(19)30108-6 ◽

2019 ◽

Vol 1 (5) ◽

pp. e232-e242 ◽

Author(s):

Livia Faes ◽

Siegfried K Wagner ◽

Dun Jack Fu ◽

Xiaoxuan Liu ◽

Edward Korot ◽

...

Keyword(s):

Health Care ◽

Deep Learning ◽

Image Classification ◽

Feasibility Study ◽

Health Care Professionals ◽

Medical Image ◽

Learning Design ◽

Medical Image Classification

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Performance Analysis and Deep Learning Design of Underlay Cognitive NOMA-Based CDRT Networks with Imperfect SIC and Co-Channel Interference

IEEE Transactions on Communications ◽

10.1109/tcomm.2021.3110209 ◽

2021 ◽

pp. 1-1

Author(s):

Thai-Hoc Vu ◽

Toan-Van Nguyen ◽

Daniel Benevides Da Costa ◽

Sunghwan Kim

Keyword(s):

Deep Learning ◽

Performance Analysis ◽

Learning Design ◽

Channel Interference

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Performance Analysis and Deep Learning Design of Wireless Powered Cognitive NOMA IoT Short-Packet Communications with Imperfect CSI and SIC

IEEE Internet of Things Journal ◽

10.1109/jiot.2021.3121421 ◽

2021 ◽

pp. 1-1

Author(s):

Thai-Hoc Vu ◽

Toan-Van Nguyen ◽

Tien-Tung Nguyen ◽

Sunghwan Kim

Keyword(s):

Deep Learning ◽

Performance Analysis ◽

Learning Design ◽

Imperfect Csi ◽

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Digital Dialogue Games and InterLoc: A Deep Learning Design for Collaborative Argumentation on the Web

Educational Technologies for Teaching Argumentation Skills ◽

10.2174/978160805015411201010277 ◽

2012 ◽

pp. 277-315 ◽

Keyword(s):

Deep Learning ◽

Learning Design ◽

Dialogue Games ◽

Collaborative Argumentation ◽

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Modern Deep Learning Design and Application Development

10.1007/978-1-4842-7413-2 ◽

2022 ◽

Author(s):

Andre Ye

Keyword(s):

Deep Learning ◽

Learning Design ◽

Application Development ◽

Design And Application

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Raising the Abstraction Level of a Deep Learning Design on FPGAs

IEEE Access ◽

10.1109/access.2020.3036975 ◽

2020 ◽

Vol 8 ◽

pp. 205148-205161

Author(s):

Dario Baptista ◽

Leonel Sousa ◽

Fernando Morgado-Dias

Keyword(s):

Deep Learning ◽

Learning Design ◽

Abstraction Level

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Feasibility of Automated Deep Learning Design for Medical Image Classification by Healthcare Professionals with Limited Coding Experience

SSRN Electronic Journal ◽

10.2139/ssrn.3402015 ◽

2019 ◽

Author(s):

Livia Faes ◽

Siegfried K. Wagner ◽

Dun Jack Fu ◽

Xiaoxuan Liu ◽

Edward Korot ◽

...

Keyword(s):

Deep Learning ◽

Image Classification ◽

Medical Image ◽

Healthcare Professionals ◽

Learning Design ◽

Medical Image Classification

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