Information & Communications Technology
Recent Submissions
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Design and implementation of the house recommendation system using content-based filtering
(Dublin Business School, 2019)The internet has become a significant transaction platform for the real estate industry. While it does urge users to search extensively for properties, it also wastes time, energy and may not provide relevant results. ... -
Stock price prediction using time series models
(Dublin Business School, 2019)This Thesis titled- “Stock price forecasting using time series models” focused on the comparison of the performance of time series models to predict the stock price for 5 banks. Forecasting and stock price analysis is ... -
Real-time face detection using histogram of oriented gradients, convolutional neural networks and feature extraction to enhance the online shopping experience
(Dublin Business School, 2019)Recent trends in technology shows that computer vision has become an integral part of all artificial intelligence projects. Ranging from a normal barcode scanner to real-time CCTV surveillance and to self-driving cars, the ... -
A study on identification of dog breeds through multi-class classification using Deep Learning techniques
(Dublin Business School, 2019)Image classification, a discipline which over the years has made tremendous advancements with new and improved techniques continuously being implemented to improve the accuracy. With an enormous amount of effort being put ... -
Demand forecasting using statistical and machine learning algorithms
(Dublin Business School, 2019)This research titled “Demand forecasting using statistical and machine learning algorithms” aims to compare the performance of traditional statistical and machine learning algorithms to forecast the demand for 50 products. ... -
Building a skill-based system for better employee engagement in a software organization
(Dublin Business School, 2019)Skills form an integral part of an organization for its efficient functioning and employees with multiple skill sets are a great asset to any organization. Imagine an organization where everyone talks and thinks about ... -
Text and voice-enabled chatbot enhancing the user experience in career counselling domain
(Dublin Business School, 2019)This dissertation explores the need of conversational agents, such as chatbots within the career counselling domain in educational institutes. The artefact is mainly aimed at college students who need assistance while ... -
Ensemble modeling & prediction interpretability for insurance fraud claims classification
(Dublin Business School, 2019)The insurance fraud claims classification using Ensemble modeling is explained in this research paper. Using the pattern found in the data, Machine learning algorithms were able to find the fraud claims efficiently. The ... -
Applications of data mining techniques for churn prediction and cross-selling in the telecommunications industry
(Dublin Business School, 2019)Customer Churn is a critical point of concern for organizations in the telecommunications industry. It is estimated that this industry has an approximate annual churn rate of 30% leading to a huge loss of revenue for ... -
Implementing real time recommendation systems using graph algorithms & exploring graph analytics in a graph database platform (Neo4j)
(Dublin Business School, 2019)Recommendation Systems play a very important role in our lives in the modern era. With the advent of Big Data in recent years, an enormous amount of information (in both structured and un structured data formats) is being ... -
Hand movement quantification of Parkinson's disease using image processing
(Dublin Business School, 2018)This research describes the methodology and demonstrates the applicability of system, developed using image processing, to quantify Parkinson’s disease by hand movements of patient. The main goal of this study is to develop ... -
Future sales prediction of OnePlus using Amazon review’s data
(Dublin Business School, 2018)In this research, we predicted sales of OnePlus cell phone models using Amazon reviews information extracted from Amazon.in. Starting with extraction, classifying and then cleaning of data, particularly it’s showed that ... -
Future job prediction in Trivandrum using machine learning techniques
(Dublin Business School, 2018)This dissertation explores the impact of machine learning on job aspirants through an interactive web application. Job seeking is a very difficult task in India and determining a career path is a much more difficult ... -
Predicting popularity rating of your video
(Dublin Business School, 2018)Searching and watching videos on YouTube has become a part of our daily lives. By understanding the popularity of online videos and predicting the popularity of future videos is of great importance to organizations as well ... -
Applying automation testing framework as an efficient medium for testing web applications
(Dublin Business School, 2016)Testing is one of the technique to ensure the quality of the product by finding bugs. It becomes essential to improve the quality of the product by increasing the test coverage. This paper gives the idea of automation ... -
Mobile learning : perception of secondary school teachers in Nigeria to the use of mobile learning for capacity building
(Dublin Business School, 2016)The blame on the state of the Nigerian education system has always been an issue of debate, with the most controversial part been the portion of blame to accord to which actor (students or teachers) or stake holder ... -
Design, implementation and evaluation of an innovative hybrid support system
(Dublin Business School, 2015)Support teams are usually the first personal encounter a customer will have when dealing with a company, therefore, this can make or break the relationship they may have with each other. Nuances make the difference: Was ... -
A mechanism to ensure secure sharing and accessing the private data files in a cloud shared environment
(Dublin Business School, 2015)Cloud Computing has been envisioned as the next-generation architecture of IT Enterprise. It moves the application software and databases to the centralized large data centers, where the management of the data and services ...
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