• Parameter reduction in deep learning and classification 

  Browne, David (University College Cork, 2020-02-20)

  The goal of this thesis is to develop methods to reduce model and problem complexity in the area of classification tasks. Whether it is a traditional or a deep learning classification task, decreasing complexity helps ...
• On the detection of privacy and security anomalies 

  Khan, Muhammad Imran (University College Cork, 2020-03)

  Data analytics over generated personal data has the potential to derive meaningful insights to enable clarity of trends and predictions, for instance, disease outbreak prediction as well as it allows for data-driven ...
• Resource management and IP interoperability for low power wide area networks 

  Hassan, Khaled Q. Abdelfadeel (University College Cork, 2020-07-29)

  Low Power Wide Area Networks (LPWANs) such as LoRaWAN, Sigfox, and NBIoT present a novel communication paradigm, which complements the traditional short-range Wireless Sensor Networks (WSNs). LPWANs promise to provide ...
• Investigation of matching problems using constraint programming and optimisation methods 

  Chisca, Danuta Sorina (2019-11)

  This thesis focuses on matching under ordinal preferences, i.e. problems where agents may be required to list other agents that they find acceptable in order of preference. In particular, we focus on two main cases: the ...
• A holistic architecture using peer to peer (P2P) protocols for the internet of things and wireless sensor networks 

  Tracey, David (University College Cork, 2020-02)

  Wireless Sensor Networks (WSNs) interact with the physical world using sensing and/or actuation. The wireless capability of WSN nodes allows them to be deployed close to the sensed phenomenon. Cheaper processing power and ...

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