Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Huber Flores"'
Autor:
Naser Hossein Motlagh, Agustin Zuniga, Ngoc Thi Nguyen, Huber Flores, Jiangtao Wang, Sasu Tarkoma, Mattia Prosperi, Sumi Helal, Petteri Nurmi
Publikováno v:
Online Journal of Public Health Informatics, Vol 16, Pp e60261-e60261 (2024)
AbstractThis paper introduces population digital health (PDH)—the use of digital health information sourced from health internet of things (IoT) and wearable devices for population health modeling—as an emerging research domain that offers an int
Externí odkaz:
https://doaj.org/article/8f9115e31cca4c6fbeaf30280adb59d4
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:
Naser Hossein Motlagh, Matti Irjala, Agustin Zuniga, Eemil Lagerspetz, Valtteri Rantala, Huber Flores, Petteri Nurmi, Sasu Tarkoma
Publikováno v:
IEEE Consumer Electronics Magazine. 12:21-31
Dangers associated with poor air quality are driving deployments of air quality monitoring technology worldwide. Having a comprehensive understanding of the health effects of pollutants requires understanding both the distribution and dispersion of p
Publikováno v:
IEEE Internet of Things Journal. 9:23252-23259
Humans tend to spend most of their life indoors, making the quality of indoor environments essential for human health and wellbeing. While several solutions for monitoring the indoor environment have been proposed, ranging from infrastructure-based m
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:
Huber Flores, Petteri Nurmi, Nikolay Tcholtchev, Sasu Tarkoma, Pan Hui, Mehrdad Asadi, Michell Boerger, Mohaan Liyanage, Zhigang Yin, Abdul-Rasheed Ottun
Autonomous drones are reaching a level of maturity when they can be deployed in cities to support tasks ranging from medicine or food delivery to environmental monitoring. These operations rely on powerful AI models integrated into the drones. Ensuri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::428980e77b7a35b5967e37e3b8a7d3d8
https://doi.org/10.36227/techrxiv.21444102.v1
https://doi.org/10.36227/techrxiv.21444102.v1
Autor:
Agustin Zuniga, Naser Hossein Motlagh, Mohammad A. Hoque, Sasu Tarkoma, Huber Flores, Petteri Nurmi
Covert surveillance devices ranging from miniature cameras to voice recorders are increasingly affordable and accessible on the market, raising concerns about surreptitious and unauthorized observation of people. This article contributes an innovativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec63d48a41f0a8f2530e64e86a2a9bb6
http://hdl.handle.net/10138/353000
http://hdl.handle.net/10138/353000
Publikováno v:
IEEE Pervasive Computing. 20:60-67
We develop an innovative low-cost approach for characterizing fresh produce by repurposing inexpensive commercial-off-the-shelf green light sensors for quality estimation. Our approach has been designed to support all stages of the supply chain while