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Finbarr Murphy

Showing results (11-20 of 33) with videos related to

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Toxicology Letters|May 19, 2019
Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland IndexIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.
Nanomaterials (Basel, Switzerland)|July 2, 2021
Data Shepherding in Nanotechnology. The InitiationIrini Furxhi, Athanasios Arvanitis, Finbarr Murphy, et al.
Accident; Analysis and Prevention|February 28, 2023
Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligenceLeandro Masello, German Castignani, Barry Sheehan, et al.
Accident; Analysis and Prevention|January 25, 2023
On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial driversLeandro Masello, Barry Sheehan, German Castignani, et al.
Nanotoxicology|February 27, 2020
Nanotoxicology data for <i>in silico</i> tools: a literature reviewIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.
Nanomaterials (Basel, Switzerland)|January 16, 2020
Practices and Trends of Machine Learning Application in NanotoxicologyIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.
RSC Advances|April 15, 2022
The risk perception of nanotechnology: evidence from twitterFinbarr Murphy, Ainaz Alavi, Martin Mullins, et al.
Microbiology Resource Announcements|July 1, 2021
Draft Genome Sequences of Two <i>Cadophora</i> Strains Isolated from Water and a Nonalcoholic Beverage IngredientEwelina Stefanovic, Colm Scully, Jimmy Roader, et al.
Sensors (Basel, Switzerland)|June 2, 2021
Regulatory and Technical Constraints: An Overview of the Technical Possibilities and Regulatory Limitations of Vehicle Telematic DataKevin McDonnell, Finbarr Murphy, Barry Sheehan, et al.
Array (New York, N.Y.)|January 27, 2022
Associations between mobility patterns and COVID-19 deaths during the pandemic: A network structure and rank propagation modelling approachFurxhi Irini, Arash Negahdari Kia, Darren Shannon, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Toxicology Letters|May 19, 2019
Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland IndexIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.
Nanomaterials (Basel, Switzerland)|July 2, 2021
Data Shepherding in Nanotechnology. The InitiationIrini Furxhi, Athanasios Arvanitis, Finbarr Murphy, et al.
Accident; Analysis and Prevention|February 28, 2023
Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligenceLeandro Masello, German Castignani, Barry Sheehan, et al.
Accident; Analysis and Prevention|January 25, 2023
On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial driversLeandro Masello, Barry Sheehan, German Castignani, et al.
Nanotoxicology|February 27, 2020
Nanotoxicology data for <i>in silico</i> tools: a literature reviewIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.
Nanomaterials (Basel, Switzerland)|January 16, 2020
Practices and Trends of Machine Learning Application in NanotoxicologyIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.
RSC Advances|April 15, 2022
The risk perception of nanotechnology: evidence from twitterFinbarr Murphy, Ainaz Alavi, Martin Mullins, et al.
Microbiology Resource Announcements|July 1, 2021
Draft Genome Sequences of Two <i>Cadophora</i> Strains Isolated from Water and a Nonalcoholic Beverage IngredientEwelina Stefanovic, Colm Scully, Jimmy Roader, et al.
Sensors (Basel, Switzerland)|June 2, 2021
Regulatory and Technical Constraints: An Overview of the Technical Possibilities and Regulatory Limitations of Vehicle Telematic DataKevin McDonnell, Finbarr Murphy, Barry Sheehan, et al.
Array (New York, N.Y.)|January 27, 2022
Associations between mobility patterns and COVID-19 deaths during the pandemic: A network structure and rank propagation modelling approachFurxhi Irini, Arash Negahdari Kia, Darren Shannon, et al.
Pageof 4