Browsing Information & Communications Technology by Issue Date
Now showing items 41-60 of 99
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Predicting rainfall for agriculture in India using regression
(Dublin Business School, 2020)In recent years the machine learning has been proven as a powerful tool for predicting the rainfall that could be useful in many sectors. This study will focus on predicting rainfall for the agriculture sector. Indian ... -
Abnormal event detection from the video using recurrent neural networks (RNN)
(Dublin Business School, 2020)Setting up the surveillance camera system has become inevitable in all the places throughout the world. Huge number of human resources has been deployed for monitoring the surveillance system in which the unusual happens ... -
Forecasting the electricity demand using machine learning algorithms
(Dublin Business School, 2020)Forecasting the electricity demand has been the key task to reach the long-term goals of European Union. Inadequacy of accurate measurement of electricity demand which further causes the under generation or over generation ... -
Exploring the space of topic modelling and topic coherence on short and long text corpora
(Dublin Business School, 2020)Topic Modelling, a discipline of Natural Language Processing, is widely prevalent and its application on social network communications has become essential in identifying key themes impacting society. In this dissertation ... -
Decision support system for a restaurant to forecast sales using machine learning techniques
(Dublin Business School, 2020)Restaurant being a customer centric business faces a lot of challenge in day-to-day operation between inventory management, staffing, and customer handling. Any mismanagement could be unhealthy in its business long-term. ... -
A context-aware personalized recommender system for automation in IoT based smart home environment
(Dublin Business School, 2020)An IoT enabled smart-home fulfils many needs of the inhabitants such as providing conveniences through personalised home automation, saving energy through optimizations, etc., based mostly on the user’s behaviour and ... -
Understanding the spread of coronavirus (COVID-19) In ireland using S-I-R model and logistic growth function
(Dublin Business School, 2020)The novel coronavirus, formerly called 2019-nCoV, or SARS-CoV-2 by ICTV (severe acute respiratory syndrome coronavirus2, by the International Committee on Taxonomy of Viruses) caused an outbreak of atypical pneumonia, ... -
A study of ensemble machine learning to improve telecommunication customer churn prediction
(Dublin Business School, 2020)The telecom industry has an ever-increasing number of service providers. With the competition between service providers to attract more customers by making attractive offers, there is an incentive for customers to keep ... -
Real time fraud detection using streaming batches & implementation of a real time data warehouse subtitle: a combined approach to machine learning & data storage
(Dublin Business School, 2020)Anomaly detection is becoming increasingly more important in sectors like banking, medicine, computer networks and many more. The volume of online transactions is increasing exponentially, and credit card online transactions ... -
Business to consumers (B2C): the effect of machine learning application in telecom customer churn management
(Dublin Business School, 2020)Customer churn also know as customer attrition is one of the major challenges faced by telecoms service providers and other types of businesses. Revenue is lost annually and marketing budget is wasted due to customer ... -
Service-oriented chatbot for essential oils using natural language processing
(Dublin Business School, 2020)This Master’s thesis focuses on the need for a conversational bot for guiding a layman in the application of essential oils as a medicine in the healthcare domain. Observing the benefits of Ayurveda, people nowadays are ... -
Implementation of clustering algorithm using graph embeddings and graph data science on Yelp restaurant dataset
(Dublin Business School, 2020)This research uses the leading property graph DBMS, Neo4j to implement a Restaurant Knowledge Graph of the Yelp Dataset (Challenge 2020 – business; users; category; reviews). The application of CYPHER queries; graph ... -
Exploring the relationship between Irish Times headlines and Irish Times stock exchange
(Dublin Business School, 2020)This research studies the effect of headline risk on Irish Stock Market using Irish Times headlines. For doing the same, it scrapes headlines from Irish times for "Bank of Ireland," one of the oldest stocks in ISE, and ... -
Diagnosing heart problem using machine learning
(Dublin Business School, 2020)The main part of the metabolism in the case of the human body is the requirement of the oxygenated blood so that the process can be complete. In the result of the metabolism, the wastes and the deoxygenated blood needs to ... -
Comparison between KERAS library and FAST.AI library using convolution neural network(image classification) model
(Dublin Business School, 2020)In past, many Data Scientists did research and developed model for Image Classification using Machine Learning and Deep Neural Network algorithms and through their it was found out Convolution Neural Network was and still ... -
Real time social distancing violation detection using SVM classifier and deep neural network learning techniques
(Dublin Business School, 2020)Whenever world is hit by any pandemic, it creates immediate global health crises due its deadly spread. Social Distancing is the key measure to control the spread of any pandemic in absence of immediate pharmaceutical ... -
Topic modelling and theme discovery on Aylien News articles during COVID-19
(Dublin Business School, 2020)Topic modelling is increasingly important for the analysis of large volumes of unlabelled data necessitating scanning a collection of documents and identifying keywords and language usage patterns. It is a technique of ... -
Detection and segmentation of deepfake face images generated by GANs using segmented based CNN
(Dublin Business School, 2020)The AI-based Generative adversarial networks or the GANs can generate hyper-realistic image using the random noise of low dimension. This led to the emergence of the term DeepFake which not only includes forged images but ... -
Forecasting and analysis of COVID-19 pandemic
(Dublin Business School, 2020)Coronaviruses are a group of viruses that cause various diseases in mammals and birds. In humans, they cause a range of respiratory disorders. This paper presents the analysis of the transmission of COVID19 disease and ... -
Comparative analysis of machine learning algorithms for detection of fast radio bursts
(Dublin Business School, 2020)Fast radio bursts are a new astronomical phenomenon that have scientists baffled. To detect and analyse these FRBs, upcoming radio telescopes will capture tremendous amount of data. At the scales of these new telescopes, ...