JK Tarus, Z Niu, G Mustafa - Artificial intelligence review, 2018 - Springer
Recommender systems in e-learning domain play an important role in assisting the learners to find useful and relevant learning materials that meet their learning needs. Personalized …
Advances in artificial intelligence, sensors and big data management have far-reaching societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …
J Lu, D Wu, M Mao, W Wang, G Zhang - Decision support systems, 2015 - Elsevier
A recommender system aims to provide users with personalized online product or service recommendations to handle the increasing online information overload problem and …
This white paper explores future localization and sensing opportunities for beyond 5G wireless communication systems by identifying key technology enablers and discussing …
As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth …
The Internet of Things (IoT) is a dynamic global information network consisting of Internet- connected objects, such as radio frequency identifications, sensors, and actuators, as well …
Appliance Load Monitoring (ALM) is essential for energy management solutions, allowing them to obtain appliance-specific energy consumption statistics that can further be used to …
We present a mobile instrumentation toolkit, AWARE, an open-source effort to develop an extensible and reusable platform for capturing, inferring, and generating context on mobile …
Current research on Internet of Things (IoT) mainly focuses on how to enable general objects to see, hear, and smell the physical world for themselves, and make them connected …