• Cognitive radio policy-based adaptive blind rendezvous protocols for disaster response 

  Ghafoor, Saim; Sreenan, Cormac J.; Brown, Kenneth N. (Springer, 2018-02-17)

  In disaster scenarios, with damaged network infrastructure, cognitive radio (CR) can be used to provide temporary network access in the first few hours. Since spectrum occupancy will be unknown, the radios must rely on ...
• Experimental evaluation of a software defined radio-based prototype for a disaster response cellular network 

  Ghafoor, Saim; Brown, Kenneth N.; Sreenan, Cormac J. (IEEE, 2015-11)

  In post disaster situations it is vital to restore voice and data communication services quickly. Currently, portable wireless systems are used as a temporary solution. However, these solutions have a lengthy setup, limited ...
• Play it again, Sam! Recommending familiar music in fresh ways 

  Gabbolini, Giovanni; Bridge, Derek (Association for Computing Machinery (ACM), 2021-09-13)

  In the music domain, repeated consumption is not uncommon. In this work, we explore how to recommend familiar music in fresh ways. Specifically, we design algorithms that can produce 'tours' through a small personal ...
• Automated SAT problem feature extraction using convolutional autoencoders 

  Dalla, Marco; Visentin, Andrea; O'Sullivan, Barry (IEEE, 2021-11-01)

  The Boolean Satisfiability Problem (SAT) is the first known NP-complete problem and has a very broad literature focusing on it. It has been applied successfully to various realworld problems, such as scheduling, planning ...
• Explanation in constraint satisfaction: A survey 

  Dev Gupta, Sharmi; Genc, Begum; O'Sullivan, Barry (International Joint Conferences on Artificial Intelligence Organization, 2021-08-17)

  Much of the focus on explanation in the field of artificial intelligence has focused on machine learning methods and, in particular, concepts produced by advanced methods such as neural networks and deep learning. However, ...

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