• Twitter sentiment analysis with deep learning technique for self-driving cars 

  Sinha, Ashish (Dublin Business School, 2019)

  Social media is an evolving platform for influencers, decision-makers and the common people to express their opinions. Social listening has changed the approach of brands when it comes to promoting and determining the ...

• Object detection in a video based on frame differencing using deep learning 

  Varadharajan, Somasundaram (Dublin Business School, 2019)

  Earlier, security guards were employed to safeguard the people and premises. Due to advancements in technology and cheap storage cost, surveillance cameras have been installed in many public and private properties to prevent ...

• Improvement of recall measure by deriving graph features for link prediction on machine learning algorithms 

  Bildik, Zeliha Bilge (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 ...

• Yelp rating classification using connected graph feature extraction and feature importance in machine learning workflow 

  Shaikh, Aquib Hassan (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 ...

• Artificial narrow intelligence adaptive audio processing 

  Singh, Sahib Preet (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. ...

• Design and implementation of the house recommendation system using content-based filtering 

  Badodekar, Rohit Tukaram (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 

  Chouksey, Shruti (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 

  James, Tojo (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 

  Isac, Renji (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 

  Vasudev, Shekhar Ramesh (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 

  Nair, Siddarth (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 

  Banerjee, Anshika (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 

  Balasubramanian, Madhana Veerapandian (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 

  Hanif, Emad (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) 

  Kumar, Amit (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 

  Kelash, Mahander (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 

  Sharma, Kanak (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 

  Saju, Akku George (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 

  Palwe, Adarsha (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 

  Kumar, Shravan (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 ...

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