Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sazia Mahfuz"'
Autor:
Haruna Isah, Tariq Abughofa, Sazia Mahfuz, Dharmitha Ajerla, Farhana Zulkernine, Shahzad Khan
Publikováno v:
IEEE Access, Vol 7, Pp 154300-154316 (2019)
Big data processing systems are evolving to be more stream oriented where each data record is processed as it arrives by distributed and low-latency computational frameworks on a continuous basis. As the stream processing technology matures and more
Externí odkaz:
https://doaj.org/article/f75de772dee24fc3b26ed6181de192ae
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2019 (2019)
Fall detection is a major problem in the healthcare department. Elderly people are more prone to fall than others. There are more than 50% of injury-related hospitalizations in people aged over 65. Commercial fall detection devices are expensive and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55a6d380678875756fce8df806436b2f
https://doi.org/10.1155/2019/9507938
https://doi.org/10.1155/2019/9507938
Publikováno v:
2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).
Data analytics with unsupervised clustering of data streams has provided revolutionary breakthroughs in fields like healthcare, and E-commerce. IBM Streams and Apache Spark are among the most useful and popular data analytics tools that help engineer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0901f10e35580be6c186993c67ff8cd5
https://doi.org/10.1109/iemcon51383.2020.9284818
https://doi.org/10.1109/iemcon51383.2020.9284818
Autor:
Sazia Mahfuz, Daniel Silver
Publikováno v:
CVPR Workshops
Continual learning (CL) is concerned with the persistent and cumulative nature of learning. This requires a method of successfully consolidating new knowledge into long-term memory without the loss of prior knowledge. Prior research has addressed thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0d617d7d4dd1cd23983bc7a1fed45a3
https://doi.org/10.1109/cvprw50498.2020.00136
https://doi.org/10.1109/cvprw50498.2020.00136
Autor:
Farhana Zulkernine, Haruna Isah, Tariq Abughofa, Sazia Mahfuz, Shahzad Khan, Dharmitha Ajerla
Publikováno v:
IEEE Access, Vol 7, Pp 154300-154316 (2019)
Big data processing systems are evolving to be more stream oriented where each data record is processed as it arrives by distributed and low-latency computational frameworks on a continuous basis. As the stream processing technology matures and more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::735996d34e2a95944e6b7ebfd1350d49
https://doi.org/10.1109/access.2019.2946884
https://doi.org/10.1109/access.2019.2946884
Publikováno v:
BIBM
Human Activity Recognition (HAR) is a field that uses collected data to classify different human actions. One simple and general approach to HAR is to use the sensor data from a mobile device to recognize different patterns behind complex motions. Ea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27838ba561bdefb8893d002119caad88
https://doi.org/10.1109/bibm47256.2019.8983009
https://doi.org/10.1109/bibm47256.2019.8983009
Autor:
Sazia Mahfuz
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783030183042
Canadian Conference on AI
Canadian Conference on AI
Lifelong machine learning (LML) is an area of machine learning research concerned with human-like persistent and cumulative nature of learning. LML system’s objective is consolidating new information into an existing machine learning model without
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::165fb53ab70c4d302bbde6c7cc4b73f1
https://doi.org/10.1007/978-3-030-18305-9_66
https://doi.org/10.1007/978-3-030-18305-9_66
Detecting patterns in real time streaming data has been an interesting and challenging data analytics problem. With the proliferation of a variety of sensor devices, real-time analytics of data from the Internet of Things (IoT) to learn regular and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39991799b1cc535816a19312e3593f59
http://arxiv.org/abs/1811.06672
http://arxiv.org/abs/1811.06672