The usage of smart devices is an integral element in our daily life. With the richness of data streaming from sensors embedded in these smart devices, the applications of ubiquitous computing are li
The usage of smart devices is an integral element in our daily life. With the richness of data streaming from sensors embedded in these smart devices, the applications of ubiquitous computing are li
We address the problem of identifying in app user actions from Web access logs when the content of those logs is both encrypted (through HTTPS) and also contains auto mated Web accesses. Wend th
This paper describes a proposed mobile platform, Transafe, that captures and analyses public perceptions of safety to deliver ‘crowdsourced’ collective intelligence about places in the City of M
voice text transcription, the voice segment cut in the previous step is transcribed into a complete meeting text; The third part is the extraction of the meeting minutes, extracting meaningful key
The increasing popularity of smart mobile phones and their powerful sensing capabilities have enabled the collection of rich contex- tual information and mobile phone usage records through the dev
We address the problem of identifying in-app user actions from Web access logs when the content of those logs is both encrypted (through HTTPS) and also contains automated Web accesses. We nd th
Human activity modeling from large-scale sensor data is an emerging domain. We present a framework to classify days into two groups: weekends and weekdays. The data collected by Device Analyzer,
Elderly people are prone to fall due to the high rate of risk factors associated with ageing. Existing fall detection sys- tems are mostly designed for a constrained environment, where various as
In this paper, we focus on designing and developing ProMETheus, an intelligent system for meeting minutes generated from audio data. The first task in ProMETheus is to recognize the speakers from
In this paper, we focus on simultaneous inference of transportation modes and human activities in daily life via modelling and inference from multivariate time series data, which are streamed from
In this paper, we present Ubiquitous daTa Exploration (UTE), a mobile sensor data collection, annotation and exploration platform. Our platform facilitates rapid prototyping of data mining experi
This paper describes a proposed mobile platform, Transafe, that captures and analyses public perceptions of safety to deliver ‘crowdsourced’ collective intelligence about places in the City of M
© 2021 Flora Salim - CRUISE Research Group.