Browsing Information & Communications Technology by Issue Date
Now showing items 21-40 of 99
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Yelp rating classification using connected graph feature extraction and feature importance in machine learning workflow
(Dublin Business School, 2019)This thesis titled- “Yelp Rating Classification Using Connected Graph Feature Extraction and Feature Importance In Machine Learning Workflow” focused on Yelp’s Challenge Dataset Round 13, we analyze data about restaurants ... -
Improvement of recall measure by deriving graph features for link prediction on machine learning algorithms
(Dublin Business School, 2019)In recent years the volume of data has increased significantly creating new challenges and opportunities in dealing with the interconnected data. Although new technologies enable the processing of high volumes of ... -
Artificial narrow intelligence adaptive audio processing
(Dublin Business School, 2019)The age of AI is engulfing us with experts attempting to envision a future driven by the rise of this far-reaching technology. Significant progress has been made during 2018-2019 for AI and deep learning in particular. ... -
Face recognition using OpenCV
(Dublin Business School, 2020)Face recognition is one of the most useful contactless biometric identi cation tool, having several applications in security, surveillance and human-computer interactions etc. The concept of face recognition has been ... -
Text sentiment analysis of Marathi language in English And Devanagari script
(Dublin Business School, 2020)Marathi is a language spoken by a very large number of people in India and about 10% of the Indian population uses ‘Marathi + English’ while texting one another. This study focuses on text sentiment analysis of the mixed ... -
Prediction of residential energy consumption using machine learning techniques
(Dublin Business School, 2020)The research was based on the prediction of electricity consumption for household buildings from 16 U.S. states. The data collected was the energy consumed by 12083 households for a period of 6 months in the year 2009. The ... -
Linear pooling of machine learning techniques in Multi-Agents Systems (MAS)
(Dublin Business School, 2020)A global solution derived from a weighted linear way improves the prediction with desirable results in multi-agent systems (MAS). In this paper, we provide two novel contributions. First, we propose a linear pooling ... -
Comparative study of Latent Dirichlet allocation and Louvain modularity on topic extraction from Pharma News
(Dublin Business School, 2020)This research compares the efficacy of topic extraction on news content using Latent Dirichlet Allocation (LDA), a traditional method of topic extraction based on Bayesian statistics versus Louvain modularity, a graph-based ... -
Effectiveness and survival status of patients through robotic surgery in healthcare sector using machine learning algorithm
(Dublin Business School, 2020)Medicine has experienced greater scientific and technological advances in last few years than in the rest of human history. Ever since computer technology entered the operating room, surgery has gone through one of the ... -
Analysis of customer complaint data of consumer financial protection bureau using different text mining techniques
(Dublin Business School, 2020)The Consumer Financial Protection Bureau is a federal agency responsible for protecting rights of retail consumers. The agency was established in USA for enabling the USA consumers to report complaint and support related ... -
Prediction of patient's health risk in critical care using a deep neural network
(Dublin Business School, 2020)The Intensive care units (ICU’s) of a hospital comprise a large share of the health care budget as today’s lifestyle habits and environmental conditions contribute to the onset of chronic diseases. High risk patients in ... -
Predictive analysis using machine learning to predict short-term traffic
(Dublin Business School, 2020)As the day begins everyone living anywhere near a busy city or working in a commercial environment gets up to travel for work. On weekends people get their vehicles out to take a family picnic or just a road trip. Checking ... -
Heart diseases prediction using hybrid ensemble learning
(Dublin Business School, 2020)Heart disease usually refers to the conditions like narrowed or blocked blood vessels which will result in heart failure, pain due to reduced blood flow to the heart (angina) or stroke. With the rampant increase within the ... -
Machine learning chatbot for education search purpose in Dublin
(Dublin Business School, 2020)This dissertation is about an artificial intelligence chatbot which act as a virtual assistant for the students who are looking for education in Dublin. In real-world scenario a student register in a foreign education ... -
Performance evaluation of ensemble based recommendation system using biased matrix factorization and content based filtering
(Dublin Business School, 2020)Boosting product sales is the primary objective of any Recommender System and it is achieved by providing users a personalized recommendation from the world of information density and product overload. The suggestions ... -
Game bot detection using behavioral analysis
(Dublin Business School, 2020)Online games and especially MMORPGs have become very popular and people are investing and spending thousands of dollars on such games. Enhancing the user-experience has become a challenge for companies as gaming bots have ... -
Investment advice based on market trends and financial distress of the company
(Dublin Business School, 2020)In this day and age “Investment” has become a necessity and an important factor for companies and individuals. Investment is something which is called a monetary asset purchased with the idea that the investment will provide ... -
A comparative study on machine learning and deep learning techniques for predicting big Mart item outlet sales
(Dublin Business School, 2020)The goal of most businesses is to make profits. This is usually achieved by making more sales than expenses. Sales are the lifeblood of each, and every organization and sales forecasting play a critical role in conducting ... -
Performance improvement and reporting techniques using SparklyR and H2O.ai
(Dublin Business School, 2020)The aim of the current study was to analyse ways of reducing cost and improving performance for machine learning by integrating driverless AI such as H2O with Spark in R and generate report. The current research pits ... -
A comparative study of machine learning models for fundraising success
(Dublin Business School, 2020)Non-Profit organizations play a vital role in mitigating the plights of society by providing nec-essary services. However, to accomplish their goals they need an ongoing infusion of funds. Prospective donor identification ...