Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Mahdi Pedram"'
Publikováno v:
New Generation Computing. 41:225-242
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4386447154a60f24cc519a1874ea467
https://doi.org/10.1007/s00354-023-00214-5
https://doi.org/10.1007/s00354-023-00214-5
Autor:
Rawan Alharbi, Soroush Shahi, Stefany Cruz, Lingfeng Li, Sougata Sen, Mahdi Pedram, Christopher Romano, Josiah Hester, Aggelos K. Katsaggelos, Nabil Alshurafa
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 6:1-25
Smoking is the leading cause of preventable death worldwide. Cigarette smoke includes thousands of chemicals that are harmful and cause tobacco-related diseases. To date, the causality between human exposure to specific compounds and the harmful effe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78f32372fc4ced274157d0bf6742b979
https://doi.org/10.1145/3569460
https://doi.org/10.1145/3569460
Publikováno v:
IEEE Sensors Journal. 22:13407-13423
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::632cc609d119f4898ddb2fcaec7f47bf
https://doi.org/10.1109/jsen.2022.3175881
https://doi.org/10.1109/jsen.2022.3175881
Autor:
Glenn Fernandes, Helen Zhu, Mahdi Pedram, Jacob Schauer, Soroush Shahi, Christopher Romano, Darren Gergle, Nabil Alshurafa
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a63d27edc2960632fbe1c64b84f0efea
https://doi.org/10.1145/3544549.3585812
https://doi.org/10.1145/3544549.3585812
Autor:
Seyed Ali Rokni, Mahdi Pedram, Sunghoon Ivan Lee, Seyed Iman Mirzadeh, Ramin Fallahzadeh, Hassan Ghasemzadeh, Diane Woodbridge
Publikováno v:
IEEE Sensors Journal. 21:20750-20763
Fluid intake tracking is crucial in providing interventions that assist individuals to stay hydrated by maintaining an adequate amount of fluid. It also helps to manage calorie intake by accounting for the amount of calorie consumed from beverages. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae0afa6fcfa311fafeac0477d80c598b
https://doi.org/10.1109/jsen.2021.3081012
https://doi.org/10.1109/jsen.2021.3081012
Publikováno v:
Int Conf Wearable Implant Body Sens Netw
Researchers have been leveraging wearable cameras to both visually confirm and automatically detect individuals’ eating habits. However, energy-intensive tasks such as continuously collecting and storing RGB images in memory, or running algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cd8f612144db60c203360fd85a36f2c
https://europepmc.org/articles/PMC10176499/
https://europepmc.org/articles/PMC10176499/
Autor:
Seyed Ali Rokni, Parastoo Alinia, Mahdi Pedram, Iman Mirzadeh, Hassan Ghasemzadeh, Marjan Nourollahi
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 26:1-31
Wearables are poised to transform health and wellness through automation of cost-effective, objective, and real-time health monitoring. However, machine learning models for these systems are designed based on labeled data collected, and feature repre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da7a9e6bb0f836339791f774b8ffc50f
https://doi.org/10.1145/3414062
https://doi.org/10.1145/3414062
Publikováno v:
Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications ISBN: 9789811929472
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ed9a37ee39df3ed656d36499a0f7508
https://doi.org/10.1007/978-981-19-2948-9_10
https://doi.org/10.1007/978-981-19-2948-9_10
Autor:
Gerald Schaefer, Mehrdad Saadatmand, Mahdi Pedram, Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam
Publikováno v:
GECCO Companion
Clustering is one of the prominent approaches for image segmentation. Conventional algorithms such as k-means, while extensively used for image segmentation, suffer from problems such as sensitivity to initialisation and getting stuck in local optima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1b1b9f5ec1187b69f80bb0043d4b61d
https://doi.org/10.1145/3449726.3463148
https://doi.org/10.1145/3449726.3463148
Autor:
Navid Amini, Robert D. Catena, Mahdi Pedram, Kouros Nouri-Mahdavi, Mohammad Pourhomayoun, Hassan Ghasemzadeh, Daniel Tarquinio, Zhila Esna Ashari, Yuchao Ma
Publikováno v:
IEEE Sensors Journal. 19:3751-3762
The utility of wearable sensors for continuous gait monitoring has grown substantially, enabling novel applications on mobility assessment in healthcare. Existing approaches for gait cycle detection rely on predefined or experimentally tuned platform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::078ef64c70397231e3a80a68fe87c714
https://doi.org/10.1109/jsen.2019.2893225
https://doi.org/10.1109/jsen.2019.2893225