Browsing Information & Communications Technology by Title
Now showing items 1-20 of 98
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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 ... -
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 ... -
Anomalies in the classification and detection of heart rate using deep learning
(Dublin Business School, 2021)Arrhythmias, which in non-medical terms is commonly known as the irregularity in a heartbeat, contributes to approximately 300,000 sudden deaths per year. This incidence rate is higher than the other lethal and dangerous ... -
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 ... -
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 ... -
Applying Deep learning techniques - masked facial recognition in smartphone security systems using transfer learning
(Dublin Business School, 2021)Face recognition is the most reliable security measure in smartphones. Face masks make face detection more challenging. In most countries the wearing of facial masks is mandatory on public transport and in public areas to ... -
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. ... -
Benchmarking react library: a developer perspective
(Dublin Business School, 2021)Developers are often reluctant to adapt to the new framework since they need to allocate time in training and adapt. This study aims to determine the need for benchmarking JS and ReactJS application in a developer’s ... -
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 ... -
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 ... -
Check-It-Chatbot
(Dublin Business School, 2021)Recently, the use of chatbots has progressed exponentially in diverse areas, including marketing, help networks, schooling, cultural heritage, entertainment and many more. One of the major and substantial aspects of this ... -
Classification of retinal pathology from OCT images using a parametric tuned CNN
(Dublin Business School, 2020)Optometrists nowadays use optical biopsy to get cross sectional images of the retina infected by pathologies. This is also known as Optical Coherence Tomography (OCT). It is important to identify the retinal diseases at ... -
Comparative analysis of deep and transfer learning techniques for two and multi-class weather image classification
(Dublin Business School, 2021)Information about the weather plays a very vital role in day-to-day life of humans, including various sectors like agriculture, business, traffic etc., knowing the weather beforehand helps to resolve several weather-related ... -
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, ... -
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 ... -
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 ... -
Comparative study of traditional and deep learning algorithms on social media using sentiment analysis
(Dublin Business School, 2022)In recent years, there has been a significant increase in social media content. This study focuses on sentiment analysis of Twitter data. This research has been done to improve the accuracy of the sentiment analysis varying ... -
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 ... -
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 ... -
A comparison of four machine learning algorithms to predict product sales in a retail store
(Dublin Business School, 2021)Controlling the retail market is the secret to sustainability in today's business world. Many business entities depend heavily on historical data and product demand projection of sales patterns. The accuracy of these ...