Browsing by Subject "Artificial Intelligence"
Now showing items 1-20 of 21
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1st Workshop on Context Representation in User Modelling
(Association for Computing Machinery, New York, NY, USA, 2023)Context, a critical aspect of personalisation and human-computer interaction, is becoming increasingly significant with the prolif- eration of user-centric applications. The First ACM Workshop on Context Representation ... -
3D deformation and strain fields in drying kaolinite obtained from tracking internal bubbles using X-ray CT and ANN
(2024)Drying fine-grained sediments experience shrinkage and desiccation cracking that may dramatically alter their mechanical and hydraulic properties. This study adopts X-ray computed tomography (CT) to monitor the three-dimensional ... -
Adversarial Robustness of Representation Learning for Knowledge Graphs
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Knowledge graphs represent factual knowledge about the world as relationships between concepts and are critical for intelligent decision making in enterprise applications. New knowledge is inferred from the existing facts ... -
Automatic generation of relational to ontology mapping correspondences
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2019)This thesis presents Milan, an automatic relational-to-ontology system. Milan automatically generates mapping correspondences from a source relational database (RDB) and a target ontology. It addresses the relational-to-ontology ... -
A Combinatorial Optimisation Approach to the Design of Dual Parented Long-Reach Passive Optical Networks
(2011)We present an application focused on the design of resilient long-reach passive optical networks. We specifically consider dual-parented networks whereby each customer must be connected to two metro sites via local exchange ... -
Design of AI-based lane changing modules in connected and autonomous vehicles: a survey
(2022)Lane changing is one of the complex driving tasks as it requires the vehicle to be aware of its highlydynamic surrounding environment, make decisions, and enact them in a timely manner. By exploiting both sensors and ... -
Explanations and Familiarity in XAI: How users understand predictions and make decisions using an AI support system
(Trinity College Dublin. School of Psychology. Discipline of Psychology, 2023)We compared the effects of counterfactual and causal explanations for an Artificial Intelligence (AI) system?s decisions in a familiar domain (alcohol and driving) and an unfamiliar one (chemical safety) in four experiments ... -
Formalising Human Mental Workload as a Defeasible Computational Concept
(Trinity College Dublin, 2014)Human mental workload has gained importance, in the last few decades, as a fundamental design concept in human-computer interaction. It can be intuitively defined as the amount of mental work necessary for a person to ... -
From the reconceptualisation of the safety event to an innovative systemic risk management approach
(Trinity College Dublin. School of Psychology. Discipline of Psychology, 2024)Safety events occur spontaneously or unexpectedly without prior planning. The objective of this research was to demonstrate that safety events are conceptualised as dynamic combinations of co-occurring factors, both related ... -
The Impact of Artificial Intelligence on Corporate Law and Corporate Governance
(Cambridge University Press, 2022)While affirming the robustness of core corporate law principles, this chapter explores how AI has, and could, impact the content, application and processes of corporate law and corporate governance, and the interactions ... -
Improving palliative care with machine learning and routine data: a rapid review
(2019)Introduction: Improving palliative care is a priority worldwide as this population experiences poor outcomes and accounts disproportionately for costs. In clinical practice, physician judgement is the core method of ... -
IoT Data Quality Assessment Framework using Adaptive Weighted Estimation Fusion
(2023)Timely data quality assessment has been shown to be crucial for the development of IoT-based applications. Different IoT applications' varying data quality requirements pose a challenge, as each application requires a ... -
A Lightweight FPGA-based IDS-ECU Architecture for Automotive CAN
(IEEE, 2022)Recent years have seen an exponential rise in complex software-driven functionality in vehicles, leading to a rising number of electronic control units (ECUs), network capabilities, and interfaces. These expanded ... -
The New Anticipatory Governance Culture for Innovation: Regulatory Foresight, Regulatory Experimentation and Regulatory Learning
(2024)With the rapid pace of technological innovation, traditional methods of policy formation and legislating are becoming conspicuously anachronistic. The need for regulatory choices to be made to counter the deadening effect ... -
Non-Local Contexts Help Resolve Ambiguity
(2006)This paper addresses nonlocal context effects in the interpretation of ambiguous utterances in natural language. We examine equivocation as a form of discourse ambiguity and demonstrate that nonlocal contexts can resolve ... -
Statistical Power and Translationese in Machine Translation Evaluation
(Association for Computational Linguistics, 2020)The term translationese has been used to describe features of translated text, and in this paper, we provide detailed analysis of potential adverse effects of translationese on machine translation evaluation. Our analysis ... -
Using AI for Loss Prediction in a Hybrid Meanline Modelling Method to Deliver Improved Turbocharger Map Prediction
(2021)Meanline modelling approaches remain attractive due to an unrivalled ability to predict full turbine performance maps quickly compared to high fidelity approaches such as CFD, especially in the preliminary design process. ... -
Using Deep Reinforcement Learning to Coordinate Multi-Modal Journey Planning with Limited Transportation Capacity
(2021)Multi-modal journey planning for large numbers of simultaneous travellers is a challenging prob- lem, particularly in the presence of limited transportation capacity. Fundamental trade-offs exist between balancing the ...