Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Tahmid Rashid"'
Autor:
Md Tahmid Rashid, Dong Wang
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-21
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb1ec9fce1d53d646735a93373fb42b7
https://doi.org/10.1109/tcss.2022.3195103
https://doi.org/10.1109/tcss.2022.3195103
Publikováno v:
Collective Intelligence. 2:263391372311708
Propelled by the omnipresence of versatile data capture, communication, and computing technologies, physical sensing has revolutionized the avenue for decisively interpreting the real world. However, various limitations hinder physical sensing's effe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40b0b728135277e693be2b52d66509ef
https://doi.org/10.1177/26339137231170825
https://doi.org/10.1177/26339137231170825
Autor:
Md Tahmid Rashid, Dong Wang
Publikováno v:
Pervasive and Mobile Computing. 87:101717
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e71fd2c43bc7686bb90af8330f41ffe0
https://doi.org/10.1016/j.pmcj.2022.101717
https://doi.org/10.1016/j.pmcj.2022.101717
Autor:
Md Tahmid Rashid, Dong Wang
Publikováno v:
2021 IEEE International Performance, Computing, and Communications Conference (IPCCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::488762447a9873dc36dc8bfb327ffc77
https://doi.org/10.1109/ipccc51483.2021.9679451
https://doi.org/10.1109/ipccc51483.2021.9679451
Publikováno v:
DCOSS
Social airborne sensing (SAS) is emerging as a new sensing paradigm that leverages the complementary aspects of social sensing and airborne sensing (i.e., UAVs) for reliable information collection. In this paper, we present HeteroSAS, a heterogeneous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b8e71c388d2ddf02e587502c2ebf798
https://doi.org/10.1109/dcoss52077.2021.00034
https://doi.org/10.1109/dcoss52077.2021.00034
Publikováno v:
IWQoS
Image-driven smart urban sensing (ISUS) has emerged as a powerful sensing paradigm to capture abundant visual information about the urban environment for intelligent city monitoring, planning, and management. In this paper, we focus on a Classificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::101accf33a2ad4fd8e1aded7fa50f663
https://doi.org/10.1109/iwqos52092.2021.9521332
https://doi.org/10.1109/iwqos52092.2021.9521332
Autor:
Dong Wang, Tahmid Rashid
Publikováno v:
Artificial Intelligence Review
With the spiraling pandemic of the Coronavirus Disease 2019 (COVID-19), it has becoming inherently important to disseminate accurate and timely information about the disease. Due to the ubiquity of Internet connectivity and smart devices, social sens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c22b0b5de7f5f3eda5e8e7e335510a26
https://pubmed.ncbi.nlm.nih.gov/32836651
https://pubmed.ncbi.nlm.nih.gov/32836651
Publikováno v:
INFOCOM Workshops
While computational model-based wildfire prediction provides reasonable accuracy in predicting wildfire behaviour, they are often limited due to lack of constant availability of real-time data. By contrast, social sensing is an emerging sensing parad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bba5fe37bd60b700a6ea96fd48595d1
https://doi.org/10.1109/infocomwkshps50562.2020.9162586
https://doi.org/10.1109/infocomwkshps50562.2020.9162586
Publikováno v:
INFOCOM
Social media sensing has emerged as a new disaster response application paradigm to collect real-time observations from online social media users about the disaster status. Due to the noisy nature of social media data, the task of identifying trustwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e61382be2525084bf3fefafbaf1f2260
https://doi.org/10.1109/infocom41043.2020.9155522
https://doi.org/10.1109/infocom41043.2020.9155522
Publikováno v:
SECON
Recent advances in remote sensing provide a powerful and scalable sensing paradigm to capture abundant visual information about the urban environments. We refer to such a sensing paradigm as remote urban sensing. In this paper, we focus on a migratab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b58025ab93fe19f779954cc55dc17fac
https://doi.org/10.1109/secon48991.2020.9158410
https://doi.org/10.1109/secon48991.2020.9158410