We propose a novel generic trust management framework for crowdsourced IoT services.
The framework exploits a multi-perspective trust model that captures the inherent …

We develop a novel framework for efficiently and effectively discovering crowdsourced
services that move in close proximity to a user over a period of time. We introduce a moving …

We propose a'Sentiment Analysis as a Service'(SAaaS) framework that abstracts sentiments
from social information services, analyses and transforms into useful information. We …

We present a new two-level composition model for crowdsourced Sensor-Cloud services
based on dynamic features such as spatio-temporal aspects. The proposed approach is …

Abstract The Internet of Things (IoT) concept is expected to be a crucial component of
human life in the near future. In IoT, devices provide functionalities as services. By …

This papers presents a deep learning-based framework to predict crowdsourced service
availability spatially and temporally. A novel two-stage prediction model is introduced based …

A public transport journey planning service often yields multiple alternative journeys plans to
get from a source to a destination. In addition to journey preferences, such as connecting …

We propose a new framework for social-sensor cloud services selection based on spatio-
textual correlation between user's query and service. The proposed research defines a …

Introducing a change in any software development organization is challenging; as this paper
demonstrates by means of a case study for the adoption of agile practices in a large software …

We present a new spatio-temporal incentive-based approach to achieve a geographically
balanced coverage of crowdsourced services. The proposed approach is based on a new …