Content Posted in 2024 | CCT ARC

Skip to main content

Content Posted in 2024

Accelerating the Transition - Understanding and Addressing Barriers to Consumer Adoption of Tesla Electric Vehicles., Jyothin Micheal

Analysing Natural Language Processing Techniques: A Comparative Study of NLTK, spaCy, BERT, and DistilBERT on Customer Query Datasets, Patrizia De Camillis

Analysing Natural Language Processing Techniques: A Comparative Study of NLTK, spaCy, BERT, and DistilBERT on Customer Query Datasets., Patrizia De Camillis

Analysis of Apps With a Medication List Functionality for Older Adults With Heart Failure Using the Mobile App Rating Scale and the IMS Institute for Healthcare Informatics Functionality Score: Evaluation Study, Yohanca Maria Diaz-Skeete, David McQuaid, Adewale Samuel Akinosun, Idongesit Ekerete, Natacha Carragher, and Lucia Carragher

Analyzing the impact of negative publicity about employee turnover on customer loyalty -a case study of Amazon., Nyambane Abedinego Nyambwengi

An investigation into the role of machine learning and deep learning models as a means of leveraging the ever-expanding volume of astronomical data to automate stellar classification., Gerard Heraghty

Application of Machine Learning algorithms to evaluate the changes in energy consumption in the Leinster area and subsequently the impact on consumer behaviour in the commercial sector., Maria Dominguez Alvarenga

Applying Neural Networks to Predict Factors Affecting Harmful Algal Blooms for Timely Alerting and Implementing Preventive Measures in Ireland's Marine Ecosystem., Nikolai Potapov

Assessment of the Impact of Various Feature Extraction Techniques on the Effectiveness of Music Genre Classification in Neural Network Models., Sabhdh Grace

Assess the resilience and adaptability of European automotive supply chains in response to unforeseen disruptions. Case study: The COVID-19 disruption of the German and English automotive industries., Irene Chebet Lelei

Bord Bia: Global marketing challenges, Guzel Khabibullina

Changing Nutrition Trends and McDonald’s Product Strategies: The Rise of Plant-Based Products and Their Impact on Consumer Behaviour., Meryem Yildirim

Comparison of Classification Methodologies using Convolutional Neural Networks in a Dataset of Plant Leaf Diseases., Ruairi O’Donohoe

Coopetition strategies: adoption and effectiveness in retail sector., Jonas Starford Chatsika

Cross-cultural management in Dublin: an analysis of the practices and challenges faced by managerial staff in Irish businesses., Ayala Lopes Carneiro de Oliveira

Data Analysis of Twitter’s Nasdaq100 Sentiments and Topics as Indicators for News Articles Retrieval: Fine-Tuning RoBERTa and RAG, Kagan Timur

Data Analysis of Twitter’s Nasdaq100 Sentiments and Topics as Indicators for News Articles Retrieval: Fine-Tuning RoBERTa and RAG., Kagan Timur

Deep Learning Model Compression for Resource-Constrained Environments., Stephen Burke

Developing a Convolutional Neural Network (CNN) Model for Facial Expression Recognition (FER), Danrlei Martins and Leonardo Diesel

Development And Optimisation of Convolutional Neural Networks (Cnns) to Predict the Nutrition and Sustainability Scores of Foods from Crowd Sourced Images, Cormac McElhinney

Development and Optimisation of Convolutional Neural Networks (CNNs) to predict the nutrition and sustainability scores of foods from crowd sourced images., Cormac McElhinney

ePortfolio Using Google Sites, CCT College Dublin

Evaluating McDonald’s sustainability practices: real commitment or greenwashing?, Student Full Name Lorena Elizabeth Alonso de León

Evaluating the performance of different Long Short-Term Memory networks (LSTM’s) on financial timeseries data using mean squared error in order to identify the optimum LSTM variant for regression performance on financial timeseries data., Patrick O’ Connor

Evaluation and Development of Innovative NLP Techniques for Query-Focused Summarization Using Retrieval Augmented Generation (RAG) and a Small Language Model (SLM) in Educational Settings, Kirillos Akram Sawiras

Evaluation and Implementation of Machine Learning Models to Predict Customer Churn in the Telecommunications Sector., Stephen Hasson

Farm-raised salmon business: an international outline through regulations, environmental issues, and consumer perception., Luiz Felipe da Silva

Global Marketing and Cross-Cultural Challenges in the Home Interiors Industry: Neptune Case Studies., Alida Tuane Silva Ciqueira

Investigating Factors Influencing Changing Consumer Patterns and the Impact on Sales Revenue in the Clothes Department at Marks & Spencer in Dublin, Ireland, Ruth Boyani Mogire

Investigating Negative Brand Perception and Toxicity in X (Formerly Twitter), Nandin Batbold

Investigating the environmental impact of tesla’s electric vehicles compared to fossil fuel vehicles, Bayezid Han Kulak

Labor Practices and their Impact on Employee perception at Amazon USA, Yelitza Manzano Jimenez

Macy’s Store Closures: Primary Drivers, E-commerce Impact, and Strategic Responses to Maintain Brand Loyalty, Joselyn M Maldonado Solis

Maize Crop Pests and Diseases Classification Using Hybrid Models., Diana Flora Namaemba

ML Predictive Model for Earthquakes Integrating Mass, Distance, Gravity, and Magnitude., Aadarsh Kushwaha

Movie Recommendation System., Ingrid Menezes Castro and Robert Szlufik

Navigating Cross-Cultural Challenges: Strategies for Effective Management of Diverse Teams within the Organization., Dhanusha Devarajulunaidu

Navigating Opportunities and Challenges: Exploring Immigrant Work Experiences in the Irish Labor Market., Andrea Martinez Garcia

Post-Brexit International Trade: The impact of Brexit import duties on outdoor clothing industry between the United Kingdom and the Republic of Ireland., Nurdin Shadiev

QA Manual 2022 - 23 Revised, CCT College Dublin

Recommended Strategies for Tesla Company in Encouraging People to Buy Electric Vehicles (EVs)., Kamran Rafiee

Responsible Natural Language Processing to aid Employee Performance Reviews., Grace Rubinger

Statistical and Machine Learning Techniques for Predicting Solar Power Generation in a Microgrid., Conor Dillon

Stock Market Predictions with Machine Learning ., Daniel Bezerra Martellini

Supply Chain Optimisation with Machine Learning and Neural Networks: Applications to Demand Planning, Supply Planning, and Inventory Planning., Laurence Cully

Tesla-Addressing eco challenges globally, Enkhzaya Enkhtuvshin

The impact of sustainability initiatives on corporate culture: Bord Bia, Feride Baş

Using Machine Learning to Identify Hate Speech and Offending Language on Twitter., Mayara Lorens and Thayene Lorens

Using Machine Learning to identify hate speech and offensive language on Twitter., Mayara Lorens and Thayene Lorens

Using Predictive Analytics to identify risk of Heart Disease based on lifestyle factors and health metrics., Luiza Cavalcanti Albuquerque Brayner and Edgard Pacheco

Using Predictive Analytics to identify risk of Heart Disease based on lifestyle factors and health metrics., Luiza Cavalcanti Albuquerque Brayner and Edgard Pacheco

Using Unsupervised Learning Methods in Extracting Features for Classifying Rice Varieties from Rice Grains Images., Kevin Anthony Martinez