Browsing by Subject "Machine Learning"
Now showing items 1-20 of 20
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Artificial Intelligence for Assessing the Correlation Between Sleep Apnoea and Comorbidities
(2022-08)Sleep apnoea (SA) is a chronic sleep related breathing disorder characterized by partial or complete airway obstruction, known as Obstructive Sleep Apnoea (OSA), or when the brain does not communicate the proper signals ... -
Artificial Intelligence to Enhance the Drilling of Composites
(2023-12)Advances in the study of fibre reinforced polymers have led to a huge interest in applying them to multiple fields as an alternative to more costly materials such as their metallic counterparts. However, if the machining ... -
The Assessment and Allocation of Public Private Partnership Risks in the UAE
(2022-04)Public Private Partnerships (PPP) is a project delivery method used primarily for large civil infrastructure projects. It is an effective way to mitigate financial burdens on public sector entities. PPP arrangements have ... -
Data Embedding and Extraction in Scrambled Video using Machine Learning
(2020-12)Data embedding in videos and images has various important applications such as digital rights management (DRM), content authentication, copyright protection, error resiliency and concealment as well as law enforcement. ... -
Data-Driven Detection of Electricity Theft Cyberattacks in PV Generation
(IEEE, 2021-09)Most of the existing research focuses on electricity theft cyber-attacks in the consumption domain. On the contrary, a high penetration level of distributed generators (DGs) may result in increased electricity theft ... -
Detection of Double and Triple Compression in Videos for Digital Forensics Using Machine Learning
(2020-12)Digital video forensics is the process of analysing, examining and comparing a video for use in legal matters and court cases. In digital video forensics, the main aim is to detect and identify video forgery and manipulation ... -
EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis
(IEEE, 2020)This paper proposes two novel methods to classify semantic vigilance levels by utilizing EEG directed connectivity patterns with their corresponding graphical network measures. We estimate the directed connectivity using ... -
Forecasting Emerging Stock Market Crashes via Machine Learning
(2023-11)Stock markets indicate the overall health of an economy as they play a vital role in providing a way for companies to raise capital, create new opportunities and stimulate economic growth. However, stock markets are prone ... -
Improvement of Dialysis Dosing Using Big Data Analytics
(2021-04)Data is transforming the healthcare sector and making it more dependent on data science. Data science is becoming a critical tool that allows looking at the data generated from various sources, such as patient health ... -
An Intelligent System Approach for RF Energy Harvesting
(2021-08)RF energy harvesting has emerged as a viable energy source for low-powered devices in wireless sensor networks. It also acts as a replacement for conventional power sources such as batteries. RF energy harvest uses an ... -
Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches
(2021-04)Many Internet of Things (IoT) applications deploy identical end devices like sensor nodes or surveillance cameras in an organization. The purpose of this thesis was to determine if a malicious physical substitution of one ... -
A Machine Learning Approach on Chest X-Rays for Pediatric Pneumonia Detection
(2022-06)Pneumonia is a highly infectious respiratory disease that can be fatal if left untreated. According to the World Health Organization (WHO), pneumonia is the leading infectious cause of death in children younger than 5 years ... -
Machine Learning Model for a Sustainable Drilling Process
(2023-11)Drilling process is one of the most performed machining processes. Across many industries, drilling process directly influences the product quality as it is usually used in the final production steps before assembly. ... -
Machine Learning-Based Approach for EV Charging Behavior
(2021-04)As smart city applications are moving from conceptual models to the development phase, smart transportation, of smart cities’ applications, is gaining ground nowadays. Electric vehicles (EVs) are considered to be one of ... -
Predicting COVID-19 in the UAE Using Machine Learning
(2022-08)As of 17th August 2022, the United Arab Emirates (UAE) have recorded over 1 million Covid-19 cases since the start of the pandemic with over 2000 deaths and the numbers are still increasing. To combat Covid-19, UAE has ... -
Sentiment Mining of Arabic Twitter Data
(2014-01)Social networking services such as Facebook and Twitter and social media hosting websites such as Flickr and YouTube have become increasingly popular in recent years. One key factor to their attractiveness worldwide is ...