Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Kasthuri Jayarajah"'
Publikováno v:
Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d75f36175080cd9b812fa59bbd0140b
https://doi.org/10.1145/3572864.3580335
https://doi.org/10.1145/3572864.3580335
Publikováno v:
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76ac2dd168ec2541458eef1d502b68f5
https://doi.org/10.1109/infocom48880.2022.9796769
https://doi.org/10.1109/infocom48880.2022.9796769
Autor:
Tarek Abdelzaher, Kasthuri Jayarajah, Karl-Erik Årzén, Per Skarin, Archan Misra, Dulanga Weerakoon, Yifan Hao, Shuochao Yao
Publikováno v:
ACM Transactions on Internet Technology. 20:1-19
The proliferation of connected embedded devices, or the Internet of Things (IoT), together with recent advances in machine intelligence, will change the profile of future cloud services and introduce a variety of new research problems, both in cloud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4187b4e8052c07142c39048f66b8a28b
https://doi.org/10.1145/3366021
https://doi.org/10.1145/3366021
The availability of sensor-rich smart wearables and tiny, yet capable, unmanned vehicles such as nano quadcopters, opens up opportunities for a novel class of highly interactive, attention-shared human--machine teams. Reliable, lightweight, yet passi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bf21156b06e3c125e5ed7439a69ad45
Autor:
Archan Misra, Kasthuri Jayarajah
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2:1-24
Traditional mobility prediction literature focuses primarily on improved methods to extract latent patterns from individual-specific movement data. When such predictions are incorrect, we ascribe it to 'random' or 'unpredictable' changes in a user's
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f092b2c9142aa429570a46249a4fcef
https://doi.org/10.1145/3287050
https://doi.org/10.1145/3287050
Publikováno v:
Journal of Business Research
Journal of Business Research, Elsevier, 2021, 127, pp.216-227. ⟨10.1016/j.jbusres.2021.01.030⟩
Journal of Business Research, Elsevier, 2021, 127, pp.216-227. ⟨10.1016/j.jbusres.2021.01.030⟩
International audience; While past research has explored the effects of different targeted promotion strategies (e.g., temporal, geographical, crowdedness-based), it is yet to take into account the effect of social context (e.g., group cohesiveness)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2023f39175eedc6bbe12831c738fdc9
https://hal.archives-ouvertes.fr/hal-03128025
https://hal.archives-ouvertes.fr/hal-03128025
Autor:
Archan Misra, Shengzhong Liu, Dongxin Liu, Yiran Zhao, Yifan Hao, Shuochao Yao, Dulanga Weerakoon, Huajie Shao, Shaohan Hu, Tarek Abdelzaher, Kasthuri Jayarajah, Ailing Piao
Publikováno v:
ICDCS
The paper discusses an emerging suite of machine intelligence services that are of increasing importance in the highly instrumented world of the Internet of Things (IoT). The suite, called Eugene, would offer a form of intelligent behavior (based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc1074f6512df7d812092525c6cbb944
https://doi.org/10.1109/icdcs.2019.00162
https://doi.org/10.1109/icdcs.2019.00162
Publikováno v:
2019 22th International Conference on Information Fusion (FUSION).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed871f4b4060e34ffcc0013cb9befc9e
https://doi.org/10.23919/fusion43075.2019.9011397
https://doi.org/10.23919/fusion43075.2019.9011397
Autor:
Kasthuri Jayarajah, Shuochao Yao, Randy Tandriansyah, Archan Misra, Tarek Abdelzaher, Dulanga Weerakoon
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.
The paper describes a vision for dependable application of machine learning-based inferencing on resource-constrained edge devices. The high computational overhead of sophisticated deep learning learning techniques imposes a prohibitive overhead, bot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a4cd8c72cb7b496a78a00395bddcea8
https://doi.org/10.1117/12.2522656
https://doi.org/10.1117/12.2522656
Publikováno v:
ITSC
Urban commuting data has long been a vital source of understanding population mobility behaviour and has been widely adopted for various applications such as transport infrastructure planning and urban anomaly detection. While individual-specific tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4852d6f5198846f36d2ead94adfa4bff