From post

Semantic Context Consolidation and Rule Learning for Optimized Transport Assignments in Hospitals.

, , , , и . ESWC (Satellite Events), том 9989 из Lecture Notes in Computer Science, стр. 88-92. (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things., , , , , , , и . Future Gener. Comput. Syst., (2019)DLNA interworking for virtualized set-top-boxes., , , , и . EuroITV, стр. 259-262. ACM, (2010)Quality of experience driven control of interactive media stream parameters., , , , , , и . IM, стр. 1282-1287. IEEE, (2013)MobiThin management framework: design and evaluation., , , , , , , , , и . ADAMUS@ICPS, стр. 25-30. ACM, (2009)Multi-fidelity matryoshka neural networks for constrained IoT devices., , , , , , и . IJCNN, стр. 1305-1309. IEEE, (2016)Sensor fusion for robot control through deep reinforcement learning., , , , , и . IROS, стр. 2365-2370. IEEE, (2017)Towards a multimedia remote viewer for mobile thin clients., , , , , , , и . Multimedia on Mobile Devices / Multimedia Content Access: Algorithms and Systems, том 7881 из SPIE Proceedings, стр. 788102. SPIE, (2011)Distributed Neural Networks for Internet of Things: The Big-Little Approach., , , , , , и . IoT 360 (2), том 170 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 484-492. (2015)Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud., , , , , , и . CloudNet, стр. 218-223. IEEE, (2016)Quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification., , , , , , , , и . UNSURE/CLIP@MICCAI, том 11840 из Lecture Notes in Computer Science, стр. 52-61. Springer, (2019)