Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mohan Liyanage"'
Autor:
Abdul-Rasheed Ottun, Pramod C. Mane, Zhigang Yin, Souvik Paul, Mohan Liyanage, Jason Pridmore, Aaron Yi Ding, Rajesh Sharma, Petteri Nurmi, Huber Flores
Publikováno v:
IEEE Internet Computing, 27(2), 36-44. Institute of Electrical and Electronics Engineers Inc.
IEEE Internet Computing, 27(2)
IEEE Internet Computing, 27(2)
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new
Autor:
Zhigang Yin, Mayowa Olapade, Mohan Liyanage, Farooq Dar, Agustin Zuniga, Naser Hossein Motlagh, Xiang Su, Sasu Tarkoma, Pan Hui, Petteri Nurmi, Huber Flores
Publikováno v:
IEEE Pervasive Computing. 21:74-83
Littering is a significant challenge for environmental sustainability and a major burden for cities and densely populated areas. Current solutions for litter monitoring, such as litter watch campaigns and city-operated litter collection, are costly a
Publikováno v:
Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications.
Autor:
Zhigang Yin, Mohan Liyanage, Abdul-Rasheed Ottun, Souvik Paul, Agustin Zuniga, Petteri Nurmi, Huber Flores
Hand-grip strength is widely used to estimate muscle strength and it serves as a general indicator of the overall health of a person, particularly in aging adults. Hand-grip strength is typically estimated using dynamometers or specialized force resi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a58ddc1047584ec59decc9f67bf2414b
http://hdl.handle.net/10138/353703
http://hdl.handle.net/10138/353703
Autor:
Marko Radeta, Agustin Zuniga, Naser Hossein Motlagh, Mohan Liyanage, Ruben Freitas, Moustafa Youssef, Sasu Tarkoma, Huber Flores, Petteri Nurmi
Machine and deep learning (DL) offer significant opportunities for exploring and monitoring oceans and for tackling important problems ranging from litter and oil spill detection to marine biodiversity estimation. Reasonably priced hardware platforms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a059bf019423a4194226a00d771da6d3
http://hdl.handle.net/10138/343587
http://hdl.handle.net/10138/343587
Autor:
Farooq Dar, Hilary Emenike, Zhigang Yin, Mohan Liyanage, Rajesh Sharma, Agustin Zuniga, Mohammad A. Hoque, Marko Radeta, Petteri Nurmi, Huber Flores
Publikováno v:
Pervasive and Mobile Computing. 84:101625
Autor:
Mohammad A. Hoque, Mohan Liyanage, Marko Radeta, Agustin Zuniga, Hilary Emenike, Rajesh Sharma, Huber Flores, Petteri Nurmi, Farooq Dar
Publikováno v:
PerCom
We contribute MIDAS as a novel sensing solution for characterizing everyday objects using thermal dissipation. MIDAS takes advantage of the fact that anytime a person touches an object, it results in heat transfer. By capturing and modeling the dissi
Autor:
Naser Hossein Motlagh, Sasu Tarkoma, Petteri Nurmi, Huber Flores, Mohan Liyanage, Agustin Zuniga, Moustafa Youssef, Monica Passananti
Marine pollution is a growing worldwide concern, affecting the health of marine ecosystems, human health, and weather patterns. To reduce underwater pollution, it is critical to have access to accurate information about the extent of marine pollutant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed98fce8c9b1d7beaa5728adde469492
http://hdl.handle.net/10138/329148
http://hdl.handle.net/10138/329148
Autor:
Sasu Tarkoma, Agustin Zuniga, Petteri Nurmi, Huber Flores, Moustafa Youssef, Monica Passananti, Naser Hossein Motlagh, Mohan Liyanage
Publikováno v:
DroNet@MobiSys
Underwater plastic pollution is a significant global concern, affecting everything from marine ecosystems to climate change and even human health. Currently, obtaining accurate information about aquatic plastic pollutants at high spatial and temporal
Publikováno v:
International Journal of Pervasive Computing and Communications. 14:247-267
PurposeThe distant data centre-centric Internet of Things (IoT) systems face the latency issue especially in the real-time-based applications, such as augmented reality, traffic analytics and ambient assisted living. Recently, Fog computing models ha