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Titlebook: Learning Technology for Education in Cloud –The Changing Face of Education; 5th International Wo Lorna Uden,Dario Liberona,Birgit Feldmann

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發(fā)表于 2025-3-23 12:05:57 | 只看該作者
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發(fā)表于 2025-3-23 17:53:24 | 只看該作者
er. Preliminary results show an increase in retention and significant differences in final course results compared with two control groups. Collaborative learning activities using online editing tools encourage students to become self-learners and our role as teacher changed from being the center of
13#
發(fā)表于 2025-3-23 18:16:21 | 只看該作者
Matías Camacho-Machín,Mar Moreno,Manuel Santos-TrigoCommunication (AAC) is a simple and clear variant of the HRI, designed to explain the meaning of the task for a robot. AAC is widely used for disabled persons with impairment in ability for communication skills, but in case of design HRI these techniques may be intended for the specification of task
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發(fā)表于 2025-3-24 02:09:45 | 只看該作者
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發(fā)表于 2025-3-24 03:36:08 | 只看該作者
Jorge Chavez,Claudia Jaramillo,Dario Liberonased approach are described. The results of the study of the proposed approach, carried out with the help of computer simulation in coalitions of 100 robots in the distribution of three roles, are presented. The estimation of the error of the distribution of roles using the proposed algorithmically i
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發(fā)表于 2025-3-24 07:08:46 | 只看該作者
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發(fā)表于 2025-3-24 12:51:07 | 只看該作者
Dacarth Sarmiento,Yesid Díaz,Roberto Ferrod service, exploring the possibility of applying non-temporal parameters to analyze request flows, building the general threat taxonomy for the corporate smart space services including threats to confidentiality, integrity and availability, considering the possibility of implementing the complex ser
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發(fā)表于 2025-3-24 18:12:14 | 只看該作者
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發(fā)表于 2025-3-24 20:55:35 | 只看該作者
small. The inevitable scaling of images to match the input-layer size can lead to a further reduction in person sizes. We investigate the reliability of different YOLOv3 architectures for person detection in regard to those input-scaling effects. The popular VisDrone data set with its varying image
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發(fā)表于 2025-3-24 23:47:54 | 只看該作者
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