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The suitability of machine learning to minimise uncertainty in the measurement and verification of energy savings

Energy and buildings, 2018-01, Vol.158, p.647-655

2018

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IntelliMaV: A cloud computing measurement and verification 2.0 application for automated, near real-time energy savings quantification and performance deviation detection

Energy and buildings, 2019-02, Vol.185, p.26-38

2019

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Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0

Energy and buildings, 2018-05, Vol.167, p.8-22

2018

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A Robust Prescriptive Framework and Performance Metric for Diagnosing and Predicting Wind Turbine Faults Based on SCADA and Alarms Data with Case Study

Energies (Basel), 2018-07, Vol.11 (7), p.1738

2018

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Industrial Big Data Pipeline for Wind Turbine PHM in a Large Manufacturing Facility

International journal of prognostics and health management, 2019-01, Vol.10 (1)

2019

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A fog computing industrial cyber-physical system for embedded low-latency machine learning Industry 4.0 applications

Manufacturing letters, 2018-01, Vol.15, p.139-142

2018

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A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications

Computers in industry, 2019-09, Vol.110, p.12-35

2019

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Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses

Energies (Basel), 2019-01, Vol.12 (2), p.201

2019

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Cluster analysis of wind turbine alarms for characterising and classifying stoppages

IET renewable power generation, 2018-07, Vol.12 (10), p.1146-1154

2018

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Exploring the experience of Polish interpreters who interpret for mental health clinicians in the UK: an interpretative phenomenological analysis

International journal of culture and mental health, 2017-07, Vol.10 (3), p.338-346

2017

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Automatically Identifying and Predicting Unplanned Wind Turbine Stoppages Using SCADA and Alarms System Data: Case Study and Results

Journal of physics. Conference series, 2017-11, Vol.926 (1), p.12011

2017

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A data science solution for measurement and verification 2.0 in industrial buildings

Gallagher, Colm V

2019

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Exploring the experience of polish interpreters who interpret for mental health professionals: an interpretative phenomenological analysis

Gallagher, Colm

2015

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Utilising the Cross Industry Standard Process for Data Mining to Reduce Uncertainty in the Measurement and Verification of Energy Savings

Data Mining and Big Data, p.48-58

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From M&V to M&T: An artificial intelligence-based framework for real-time performance verification of demand-side energy savings

2018 International Conference on Smart Energy Systems and Technologies (SEST), 2018, p.1-6

2018

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Neglected Documentary Evidence for the Currency of 14th Cent. Scottish Coins in N.E. Ireland

The British Numismatic Journal, 1967-01, Vol.36, p.93

Gallagher, Colm

1967

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FOUR NOTES ON UNPUBLISHED IRISH FINDS OF THE SIXTEENTH AND SEVENTEENTH CENTURIES

Numismatic chronicle (1966), 1969-01, Vol.9, p.219-233

1969

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The Sixteenth Century Coin Hoard from Moig South, Askeaton, Co. Limerick (Plates VIII-XI)

The British Numismatic Journal, 1968-01, Vol.37, p.85

1968

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The role of defensive information processing in population‐based colorectal cancer screening uptake

Cancer, 2023-04, Vol.129 (8), p.1253-1260

2023

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Mapping neurotransmitter systems to the structural and functional organization of the human neocortex

Nature neuroscience, 2022-11, Vol.25 (11), p.1569

2022

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Longitudinal analysis of individual cfDNA methylome patterns in metastatic prostate cancer

Clinical epigenetics, 2021-12, Vol.13 (1), p.168-168, Article 168

2021

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Negative emotions and cancer fatalism are independently associated with uptake of Faecal Immunochemical Test-based colorectal cancer screening: Results from a population-based study

Preventive medicine, 2021-04, Vol.145, p.106430-106430, Article 106430

2021

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Complex high-risk and indicated percutaneous coronary intervention for stable angina: Does operator volume influence patient outcome?

The American heart journal, 2020-04, Vol.222, p.15-25

2020

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Biochemical and molecular characterization of sialylated cervical mucins in sheep

Biology of reproduction, 2022-08, Vol.107 (2), p.419-431

2022

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Identification and characterization of O-linked glycans in cervical mucus as biomarkers of sperm transport: A novel sheep model

Glycobiology (Oxford), 2022-02, Vol.32 (1), p.23-35

2022

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The suitability of machine learning to minimise uncertainty in the measurement and verification of energy savings

IntelliMaV: A cloud computing measurement and verification 2.0 application for automated, near real-time energy savings quantification and performance deviation detection

Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0

A Robust Prescriptive Framework and Performance Metric for Diagnosing and Predicting Wind Turbine Faults Based on SCADA and Alarms Data with Case Study

Industrial Big Data Pipeline for Wind Turbine PHM in a Large Manufacturing Facility

A fog computing industrial cyber-physical system for embedded low-latency machine learning Industry 4.0 applications

A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications

Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses

Cluster analysis of wind turbine alarms for characterising and classifying stoppages

Exploring the experience of Polish interpreters who interpret for mental health clinicians in the UK: an interpretative phenomenological analysis

Automatically Identifying and Predicting Unplanned Wind Turbine Stoppages Using SCADA and Alarms System Data: Case Study and Results

A data science solution for measurement and verification 2.0 in industrial buildings

Exploring the experience of polish interpreters who interpret for mental health professionals: an interpretative phenomenological analysis

Utilising the Cross Industry Standard Process for Data Mining to Reduce Uncertainty in the Measurement and Verification of Energy Savings

From M&V to M&T: An artificial intelligence-based framework for real-time performance verification of demand-side energy savings

Neglected Documentary Evidence for the Currency of 14th Cent. Scottish Coins in N.E. Ireland

FOUR NOTES ON UNPUBLISHED IRISH FINDS OF THE SIXTEENTH AND SEVENTEENTH CENTURIES

The Sixteenth Century Coin Hoard from Moig South, Askeaton, Co. Limerick (Plates VIII-XI)

The role of defensive information processing in population‐based colorectal cancer screening uptake

Mapping neurotransmitter systems to the structural and functional organization of the human neocortex

Longitudinal analysis of individual cfDNA methylome patterns in metastatic prostate cancer

Negative emotions and cancer fatalism are independently associated with uptake of Faecal Immunochemical Test-based colorectal cancer screening: Results from a population-based study

Complex high-risk and indicated percutaneous coronary intervention for stable angina: Does operator volume influence patient outcome?

Biochemical and molecular characterization of sialylated cervical mucins in sheep

Identification and characterization of O-linked glycans in cervical mucus as biomarkers of sperm transport: A novel sheep model

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