Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Tahiya Chowdhury"'
Autor:
Murtadha Aldeer, David Waterworth, Zawar Hussain, Tahiya Chowdhury, Christian Brito, Quan Z. Sheng, Richard P. Martin, Jorge Ortiz
Publikováno v:
2022 2nd International Workshop on Cyber-Physical-Human System Design and Implementation (CPHS).
Publikováno v:
BuildSys@SenSys
Sensing activities at the city scale using big data can enable applications to improve the quality of citizen life. While there are approaches to sense the urban heartbeat using sound, vision, radio frequency (RF), and other sensors, capturing change
Publikováno v:
BuildSys@SenSys
Big data on the urban scale can enable many applications for improving city life and provide a more holistic understanding of urban life to researchers. While there are approaches to sense and model urban occupant behaviors using sound, radio frequen
Autor:
Murtadha Aldeer, Arsalan Heydarian, Brad Campbell, Jiechao Gao, Tahiya Chowdhury, Amber Haynes, Jorge Ortiz, Fateme Nikseresht, Mahsa Pahlavikhah Varnosfaderani, Tong Wu
Publikováno v:
BuildSys@SenSys
Time-series data gathered from smart spaces hide user's personal information that may arise privacy concerns. However, these data are needed to enable desired services. In this paper, we propose a privacy preserving framework based on Generative Adve
Autor:
Jakub Kolodziejski, Joseph Florentine, Richard Martin, Jorge Ortiz, Tahiya Chowdhury, Justin Yu, Richard Howard, Murtadha Aldeer
Publikováno v:
MobiSys
The COVID-19 pandemic has impacted academic life in different ways. In the mobile and pervasive computing community, there was a struggle on data collection for the evaluation of human-sensing systems. An automated and contactless solution to collect
Autor:
Tahiya Chowdhury
Publikováno v:
IPSN
The number of Internet-of-Things (IoT) and edge devices has exploded in recent years. Coupled with recent advances in learning methodologies, these can make the vision of smart building a reality and transform how people interact with their environme
Publikováno v:
Proceedings of the First International Workshop on Cyber-Physical-Human System Design and Implementation.
Smart spaces equipped with sensors and combined with learning are becoming increasingly popular for many ubiquitous computing applications. However, application performance depends on many factors, including the number of sensors deployed, the phenom