ARC (Academic Research Collection) (College Dubin)
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World’s biggest wildlife bridge: Wallis Annenberg wildlife crossing. L. A. California, EUA
Get PDFThis poster discusses how \u27Green bridges\u27 are utilized to lessen the detrimental effects that automobiles and highways have on wildlife populations and have profound effects on the survival and mobility of wildlife
Professional Development Bulletin May 2023
Get PDFRecordings of recent professional development events in HE as well as details of upcoming ones
Applying Machine Learning to Biological Status (QValues) from Physio-chemical Conditions of Irish Rivers
Get PDFThis thesis evaluates and optimises a variety of predictive models for assessing biological classification status, with an emphasis on water quality monitoring. Grounded in previous pertinent studies, it builds on the findings of (Arrighi and Castelli, 2023) concerning Tuscany’s river catchments, highlighting a solid correlation between river ecological status and parameters like summer climate and land use. They achieved an 80% prediction precision using the Random Forest algorithm, particularly adept at identifying good ecological conditions, leveraging a dataset devoid of chemical data
Google Sites for ePortfolio
Get PDFThis presentation was delivered at Quality and Qualification\u27s Quality in HE: Sectoral Findings and Enhancement Showcase which took place on Oct 17th 2023.https://arc.cct.ie/fac_presentations/1011/thumbnail.jp
Nothern Lights Cathedral
No full textThe town of Alta, which is located north of the polar circle, is home to the Cathedral of the Northern Lights. The circularstyled modern church was constructed in 2013 utilizing designs created by the architectural firm LINK Arkitektur, in association with Schmidt Hammer Lassen Architects, as the outcome of an architectural competition that was first held in 2001. The church was built to take the place of the Alta Church as the main church for the parish and deanery
Open access at a crossroads: library publishing and bibliodiversity
Get PDFThe open access movement has gained momentum since the Budapest Open Access Initiative (BOAI) first launched twenty years ago. Notably, there has been a drastic increase in the number of open access articles. Concerns have been raised about equality and diversity issues, however, for researchers without an affiliation (e.g. independent, unemployed and retired researchers) and researchers on the ‘scientific periphery’ who are excluded from the gold open access model. This article argues that the gold open access model is destructive to the knowledge production ecosystem by addressing the importance of bibliodiversity and the ways in which library publishing can contribute to sustainable and equitable knowledge production
Predicting the effects of Climate Change on Irish Agriculture
Get PDFThe impact of climate change on agriculture is a growing concern worldwide, and Ireland is no exception. The purpose of this project is to use machine learning techniques to predict the effects of climate change on Irish agriculture and identify strategies for adaptation and mitigation. The project uses the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology to guide the data analysis process, MoSCoW prioritization to identify the most critical needs, and SWOT analysis to evaluate the strengths, weaknesses, opportunities, and threats our project may encounter. Historical temperature data for Ireland and Dublin will be used as our data sources. The project will use machine learning algorithms to predict the potential effects of climate change on agriculture and make recommendations for policymakers, farmers, and researchers to mitigate the potential effects of climate change on Irish agriculture. Using CRISP-DM as our framework, the project began with a thorough business understanding phase, where we identified the key stakeholders and their information needs, as well as the challenges and opportunities associated with climate change and agriculture in Ireland (FAO, 2016). This helped us to define our project objectives more clearly and to develop a comprehensive plan for data collection, analysis, and modelling
The Role of Data Analytics to Address Water Stress in Africa
Get PDFWater stress, a global concern transcending geographical boundaries, significantly impacts the African continent. Affecting one in three people in Africa, sustainable water management is imperative for ecological and human welfare. This research emphasizes the pivotal role of data analytics in addressing water stress challenges in Africa and beyond