• Classifier-based constraint acquisition 

  Prestwich, Steven D.; Freuder, Eugene C.; O'Sullivan, Barry; Browne, David (Springer, 2021-04-17)

  Modeling a combinatorial problem is a hard and error-prone task requiring significant expertise. Constraint acquisition methods attempt to automate this process by learning constraints from examples of solutions and (usually) ...
• Extrapolating from limited uncertain information in large-scale combinatorial optimization problems to obtain robust solutions 

  Climent, Laura; Wallace, Richard J.; O'Sullivan, Barry; Freuder, Eugene C. (World Scientific Publishing, 2016-02)

  Data uncertainty in real-life problems is a current challenge in many areas, including Operations Research (OR) and Constraint Programming (CP). This is especially true given the continual and accelerating increase in the ...
• Theoretical models for underwater RFID and the impact of water salinity on the design of wireless systems 

  Peres, Caroline; Pigeon, Melusine; Rather, Nadeem; Gawade, Dinesh; Buckley, John; Jafarzadeh, Hamed; O'Flynn, Brendan (ThinkMind (TM); IARIA, 2020-12-30)

  Underwater wireless communications present challenges due to the characteristics of water as a propagation channel medium. Regardless, wireless communications are needed for a range of systems that operate underwater. ...
• Biosensing in dermal interstitial fluid using microneedle based electrochemical devices 

  Madden, Julia; O'Mahony, Conor; Thompson, Michael; O'Riordan, Alan; Galvin, Paul (Elsevier, 2020-05-15)

  This article explores recent advances in the development of electrochemical biosensors on microneedle platforms towards on-device sensing of biomarkers present in dermal interstitial fluid. The integration of a biosensor ...
• Reordering all agents in asynchronous backtracking for distributed constraint satisfaction problems 

  Mechqrane, Younes; Wahbi, Mohamed; Bessiere, Christian; Brown, Kenneth N. (Elsevier, 2019-09-20)

  Distributed constraint satisfaction problems (DisCSPs) can express decision problems where physically distributed agents control different decision variables, but must coordinate with each other to agree on a global solution. ...

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