Browsing College of Engineering and Informatics by Title
Now showing items 191-210 of 1158
-
Cyclic dominance in the spatial coevolutionary optional prisoner's dilemma game
(CEUR-WS.org, 2016-09-20)This paper studies scenarios of cyclic dominance in a coevolutionary spatial model in which game strategies and links between agents adaptively evolve over time. The Optional Prisoner’s Dilemma (OPD) game is employed. ... -
Cyclic loading tests on sandstone and limestone shale aggregates used in unbound forest roads
(Elsevier, 2009)This study examined the performance of two aggregates subjected to cyclic loading in a large-scale test rig. The two aggregates examined were: (i) a sandstone from Co. Cork, Ireland and (ii) a limestone shale from Co. ... -
Cyclic loading tests on sandstone and limestone shale aggregates used in unbound forest roads.
(Construction and Building Materials, 2009-06-01)This study examined the performance of two aggregates subjected to cyclic loading in a large-scale test rig. The two aggregates examined were: (i) a sandstone from Co. Cork, Ireland and (ii) a limestone shale from Co. ... -
Cyclic performance of steel and composite bracing members
(2005)This paper describes an experimental study on the response of hollow and filled steel members to monotonic and cyclic axial loading. Monotonic tests were first performed on short specimens to establish their compressive ... -
Cyclic plasticity of welded P91 material for simple and complex power plant connections
(Elsevier, 2016-02-10)This paper focuses on with the cyclic plasticity modelling of welded, ex-service P91 material. A multi material model is developed for high temperature cyclic plasticity, including the effects of the three different material ... -
Cyclic thermo-mechanical material modelling and testing of 316 stainless steel
(Elsevier ScienceDirect, 2010-04-20)A programme of cyclic mechanical testing of a 316 stainless steel, at temperatures of up to 600 C under isothermal conditions, for the identification of material constitutive constants, has been carried out using a ... -
Cyclic viscoplasticity testing and modelling of a service-aged P91 steel
(American Society of Mechanical Engineers, 2014-04-16)A service-aged P91 steel was used to perform an experimental program of cyclic mechanical testing in the temperature range of 400 °C–600 °C, under isothermal conditions, using both saw-tooth and dwell (inclusion of a ... -
Cyclonic circulation in the western Irish Sea in future climate
(International Association for Hydro-Environment Engineering and Research, 2011-07-01)The Irish Sea (IS) is a semi-enclosed body of water on the European Continental Shelf and the Western Irish Sea Gyre (WISG) is a characteristic phenomenon of the Sea. The gyre due to its significant effects on the circulation, ... -
Dairy processing sludge and co-products: a review of present and future re-use pathways in agriculture
(Elsevier, 2021-06-22)The dairy industry is one of the largest global producers of wastewater and generates huge volumes of dairy processing sludge (DPS). There are two main types of DPS, lime-treated dissolved air floatation sludge and ... -
Damage characterisation of cryogenically cycled carbon fibre/PEEK laminates
(Elsevier ScienceDirect, 2014-08-14)A unique insight into damage formation in CF/PEEK laminates before, during and after cryogenic cycling, using optical microscopy and 3D X-ray computed tomography (CT), is presented. Thicker laminates were found to exhibit ... -
A Data-Driven Exploration of Factors Affecting Student Performance in a Third-Level Institution
(2008)This paper describes an application of data mining techniques to the analysis of student academic records, collected at Limerick Institute of Technology, with the goal of acquiring clearer, evidence-based ... -
Deep learning for consumer devices and services 2-AI gets embedded at the edge
(IEEE, 2019-09-02)The recent explosive growth of deep learning is enabling a new generation of intelligent consumer devices. Specialized deep learning inference now provides data analysis capabilities that once required an active cloud ... -
Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision
(Institute of Electrical and Electronics Engineers (IEEE), 2017-04)In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a field that has become known as deep learning. This has been triggered ... -
Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision (Errata for acknowledgments)
(IEEE, 2017-06-14)Presents corrections for acknowledgments in the paper: Lemley, J., Bazrafkan, S., & Corcoran, P. (2017). Deep Learning for Consumer Devices and Services: Pushing the limits for machine learning, artificial intelligence, ... -
Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods
(Institute of Electrical and Electronics Engineers, 2017-01-08)By growing the capacity and processing power of the handheld devices nowadays, a wide range of capabilities can be implemented in these devices to make them more intelligent and user friendly. Determining the mood of the ... -
Deep learning for hand segmentation in complex backgrounds
(Institute of Electrical and Electronics Engineers, 2018-01-02)This paper presents a Deep Learning segmentation approach for hand segmentation in gray level images with cluttered backgrounds where standard techniques cannot be used. Two networks were trained with a database of hand ... -
Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets
(Elsevier, 2019-08-01)A data augmentation methodology is presented and applied to generate a large dataset of off-axis iris regions and train a low-complexity deep neural network. Although of low complexity the resulting network achieves a high ... -
Deep reinforcement learning for home energy management system control
(Elsevier, 2021-12-26)The use of machine learning techniques has been proven to be a viable solution for smart home energy management. These techniques autonomously control heating and domestic hot water systems, which are the most relevant ... -
Defect evaluation of the honeycomb structures formed during the drilling process
(SAGE Publications, 2019-07-02)In this paper, a comprehensive experimental investigation was carried out to precisely characterize the delamination and uncut fiber in the drilling process. A digital imaging procedure was developed in order to calculate ...