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Deep learning object detection to estimate the nectar sugar mass of flowering vegetation

• Authors : Damien Hicks; Mathilde Baude; Christoph Kratz

Subjects: convolutional neural network; deep learning; Faster R‐CNN

• Source: Ecological Solutions and Evidence, Vol 2, Iss 3, Pp n/a-n/a (2021)

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Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network

• Authors : Fehlemann, Niklas; Suarez Aguilera, Ana Lia; Sandfeld, Stefan ...

• Source: steel research international ; volume 94, issue 7 ; ISSN 1611-3683 1869-344X

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Mobile learning object authoring tool and management system for mobile ad hoc wireless networks

• Authors : Ebtissam Wahman; Hien Nguyen; Kia Makki

Subjects: Multimedia; Computer Networks and Communications; Computer science

• Source: International Journal of Communication Systems. 28:2180-2196

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Deep learning object detection to estimate the nectar sugar mass of flowering vegetation

• Authors : Hicks, Damien; Baude, Mathilde; Kratz, Christoph ...

• Source: Ecological Solutions and Evidence ; volume 2, issue 3 ; ISSN 2688-8319 2688-8319

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Virtual learning object: An asynchronous solution for virtual learning in dentistry post COVID‐19

• Authors : Aguilar‐Gálvez, Denisse; Noal, Fernanda C.; de Araujo, Fernando Borba

• Source: Journal of Dental Education ; volume 85, issue S1, page 1123-1125 ; ISSN 0022-0337 1930-7837

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Understanding learner acceptance of learning objects: The roles of learning object characteristics and individual differences

• Authors : Siong-Hoe Lau; Peter Charles Woods

Subjects: Cooperative learning; Knowledge management; business.industry

• Source: British Journal of Educational Technology. 40:1059-1075

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Learning object repositories

• Authors : Rosemary M. Lehman

Subjects: Metadata; World Wide Web; Computer science

• Source: New Directions for Adult and Continuing Education. 2007:57-66

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Learning Object Names at Different Hierarchical Levels Using Cross‐Situational Statistics

• Authors : Chen, Chi‐hsin; Zhang, Yayun; Yu, Chen ...

• Source: Cognitive Science ; volume 42, issue S2, page 591-605 ; ISSN 0364-0213 1551-6709

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A digital learning object for teaching human embryology: version 2 of Embryon (725.13)

• Authors : Fredieu, John; Kerbo, Jennifer; Mulcahy, Brendan

• Source: The FASEB Journal ; volume 28, issue S1 ; ISSN 0892-6638 1530-6860

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Actively Learning Object Names Across Ambiguous Situations

• Authors : Kachergis, George; Yu, Chen; Shiffrin, Richard M.

• Source: Topics in Cognitive Science ; volume 5, issue 1, page 200-213 ; ISSN 1756-8757 1756-8765

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